ArticleFrontiers in cellular and infection microbiology2022
A Bibliometric Analysis of Global Research on Japanese Encephalitis From 1934 to 2020.
Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Exploring the Mosquito-Arbovirus Network: A Survey of Vector Competence Experiments.The American journal of tropical medicine and hygiene · 2023Pooled it
- Development of JEV NS1 Specific Capture-ELISA Based on a Single Monoclonal Antibody.Animals : an open access journal from MDPI · 2026Article
- Therapeutic hypothermia for neonates: a bibliometric analysis and visualization research.Frontiers in neurology · 2025Article
- A Bibliometric Analysis of Research on Temporomandibular Joint Disc Displacement from 1992 to 2022.Healthcare (Basel, Switzerland) · 2023Review
- Bibliometric Analysis of 100 Most Highly Cited Publications on Acupuncture for Migraine.Journal of pain research · 2023Article
- Review
- Pigeon Circovirus over Three Decades of Research: Bibliometrics, Scoping Review, and Perspectives.Viruses · 2022Article
- Discovery of Small Molecules fromLife (Basel, Switzerland) · 2022Article
- Re-burying Artificially Exposed Surface of Viral Subunit Vaccines Through Oligomerization Enhances Vaccine Efficacy.Frontiers in cellular and infection microbiology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Japanese encephalitis (JE) is a mosquito-borne disease caused by the Japanese encephalitis virus (JEV). The disease is mainly an epidemic in Asia and has been studied for nearly 90 years. To evaluate the research trends of JE, 3,023 English publications between 1934 and 2020 were retrieved and analyzed from the Web of Science database using indicators for publication, country or territory, citation, journal, author and affiliation, keyword co-occurrence cluster, and strongest citation bursts detection. The results of the bibliometric analysis and the visualization tools show that the number of annual publications on JE has been increasing. JE has been continuously studied in the USA and also many Asian countries, such as Japan, China, India, and South Korea; however, only a few publications have high citations. The main research groups of JE in the last 5 years were in China, Japan, and the UK. The keyword co-occurrence analysis and the strongest citation bursts detection revealed that most studies focused on the pathogenic mechanism of JEV, control of outbreaks, and immunization with JE vaccine. The research maps on JE obtained by our analysis are expected to help researchers effectively explore the disease.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.