Evidence map›Paper›PMID 36939968›Full record

Trial reportClinical and experimental medicine2023

The top 100 most cited articles on COVID-19 vaccine: a bibliometric analysis.

Weigang Wang, Hu Wang, Tian Yao, Yandi Li, Linzhu Yi, Ying Gao, Jia Lian, Yongliang Feng, Suping Wang

Open access · bronzeAbstract readClinical Trial, Phase II
In one paragraph

Trial report in Clinical and experimental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 4 pooled it
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 4 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Weigang WangDepartment of Epidemiology, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, Shanxi, China.
Hu WangDepartment of Epidemiology, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, Shanxi, China.
Tian YaoFirst Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.
Yandi LiDepartment of Epidemiology, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, Shanxi, China.
Linzhu YiDepartment of Epidemiology, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, Shanxi, China.
Ying GaoDepartment of Epidemiology, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, Shanxi, China.
Jia LianDepartment of Epidemiology, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, Shanxi, China.
Yongliang FengDepartment of Epidemiology, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, Shanxi, China. yongliang.feng@sxmu.edu.cn.
Suping WangDepartment of Epidemiology, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, Shanxi, China. supingwang@sxmu.edu.cn.
Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to uncover the current major topics regarding COVID-19 vaccine, and systematically evaluate the development trends for future research. The top 100 most cited original articles on COVID-19 vaccine from January 2020 to October 2022 were identified from Web of Science Core Collection database. CiteSpace (v6.1.R3) was adopted for bibliometric analysis with statistical and visual analysis. The number of citations ranged from 206 to 5881, with a median of 349.5. The USA (n = 56), England (n = 33), and China (n = 16) ranked the top three countries/regions in terms of the number of publications. Harvard Medical School (centrality = 0.71), Boston Children's Hospital (centrality = 0.67), and Public Health England (centrality = 0.57) were the top three institutions leading the way on COVID-19 vaccine research. The New England of medicine journal dominated with 22 articles in the 32 high-quality journals. The three most frequent keywords were immunization (centrality = 0.25), influenza vaccination (centrality = 0.21), and coronavirus (centrality = 0.18). Cluster analysis of keywords showed that the top four categories were protection efficacy, vaccine hesitancy, spike protein, and second vaccine dose (Q value = 0.535, S value = 0.879). Cluster analysis of cited references showed that top eight largest categories were Cov-2 variant, clinical trial, large integrated health system, COV-2 rhesus macaque, mRNA vaccine, vaccination intent, phase II study, and Cov-2 omicron variant (Q value = 0.672, S value = 0.794). The research on COVID-19 vaccine is currently the hottest topic in academic community. At present, COVID-19 vaccines researches have focused on vaccine efficacy, vaccine hesitancy, and the efficacy of current vaccines on omicron variants. However, how to increase vaccine uptake, focus on mutations in the spike protein, evaluate of the efficacy of booster vaccine, and how effective new vaccines under pre- and clinical development against omicron will be spotlight in the future.

Indexed as

COVID-19COVID-19 VaccinesAnimalsBibliometricsChildHumansMacaca mulattaSARS-CoV-2Spike Glycoprotein, CoronavirusCOVID-19 VaccinesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Bibliometric analysisCiteSpaceCOVID-19 vaccineVisualization

Identifiers

PMID36939968
PMCPMC10026222
OpenAlexW4327894622

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.