Evidence map›Paper›PMID 36776314›Full record

ArticleFrontiers in oncology2023

Bibliometric analysis of single-cell sequencing researches on immune cells and their application of DNA damage repair in cancer immunotherapy.

Yu Zhao, Yuanxun Xiao, Zhengbo Hu, Ji Wang, Zhiguang Xu, Yizhang Mo, Guojun Qi, Kebing Chen, Wu Wu, Weiying Ma

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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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

10 authors at 8 institutions in 1 country.

Yu ZhaoDepartment of Hematology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Yuanxun XiaoDepartment of Burn & Plastic Surgery, Yuebei People's Hospital Affiliated to Shantou University Medical College, Shaoguan, Guangdong, China.
Zhengbo HuDepartment of Orthopaedics, Yuebei People's Hospital Affiliated to Shantou University Medical College, Shaoguan, Guangdong, China.
Ji WangDepartment of Spine Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Zhiguang XuDepartment of Spine Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Yizhang MoDepartment of Spine Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Guojun QiGuangdong Provincial Key Laboratory of High Technology for Plant Protection, Plant Protection Research Institute, Guangdong Academy of Agricultural Science, Guangzhou, Guangdong, China.
Kebing ChenDepartment of Spine Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Wu WuOrthopedics Rehabilitation Department, Guangdong Work Injury Rehabilitation Center, Guangzhou, Guangdong, China.
Weiying MaDepartment of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Sixth Affiliated Hospital of Sun Yat-sen University · CNGuangdong Academy of Agricultural Sciences · CNGuangdong Work Injury Rehabilitation Hospital · CNShantou University · CNSun Yat-sen Memorial Hospital · CNSun Yat-sen University · CNThird Affiliated Hospital of Southern Medical University · CNYue Bei People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In recent decades, single-cell sequencing technology has developed rapidly and used widely in various fields of life sciences, especially for the detection of immune cells. A bibliometric analysis of single-cell sequencing research work on immune cells published during the 2011-2021 period should provide new insight on the use of single-cell sequencing. Methods: We screened 1,460 publications on single-cell sequencing on immune cells according to the publication date, article type, language, and country. Reults: The United States published the first and largest number of articles, while China's research started relatively late, but ranked second in the number of publications. T cells were the most commonly studied immune cells by single-cell sequencing, followed by mononuclear macrophages. Cancer biology was the most common field of immune cell research by single-cell sequencing. Single-cell sequencing studies using γδ T cells were mainly in the fields of cancer biology and cell development, and focused over time from cell surface receptor to cell function. Through in-depth analysis of the articles on single-cell sequencing of T cells in the oncology field, our analysis found that immunotherapy and tumor microenvironment were the most popular research directions in recent years. Discussion: The combination of DNA damage repair and immunotherapy seems to provide a new strategy for cancer therapy.

Indexed as

bibliometric analysisDNA damage repairimmune cellsimmunotherapysingle-cell sequencingT cell

Identifiers

PMID36776314
PMCPMC9909395
OpenAlexW4318066499

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.