Jun‐Hu Chen

2.4k citations
83 papers · 1.4k indexed · 1 hit paper · h-index 23

Impact in

Papers in

Jun‐Hu Chen

81 papers receiving 1.4k citations

Hit Papers

Increased interleukin-6 is associated with long COVID-19: a systematic review and meta-analysis 2023 · 81 citations
812023202620242025255075

Peers

Jun‐Hu Chen
Comparison fields: 5 of 118
  • Parasitology 505
  • Public Health, Environmental and Occupational Health 653
  • Infectious Diseases 355
  • Small Animals 71
  • Ecology 184
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Renli Zhang China
Jianhai Yin China
Marc Théllier France
Daouda Ndiaye Senegal
Nadira D. Karunaweera Sri Lanka
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Citations per year

Countries citing papers authored by Jun‐Hu Chen

Since Specialization
Citations

This map shows the geographic impact of Jun‐Hu Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun‐Hu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Hu Chen more than expected).

Fields of papers citing papers by Jun‐Hu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Hu Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun‐Hu Chen. The network helps show where Jun‐Hu Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun‐Hu Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun‐Hu Chen Line = papers co-authored together Jun‐Hu Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020117
2 201488
3
Increased interleukin-6 is associated with long COVID-19: a systematic review and meta-analysis
Hit paper breakdown →
202381
4 200958
5 201356
6 201345
7 201042
8 200842
9 201836
10 201235
11 201234
12 202030
13 202030
14 202030
15 201230
16 201429
17 201628
18 200527
19 202027
20 201726

About Jun‐Hu Chen

Jun‐Hu Chen is a scholar working on Parasitology, Public Health, Environmental and Occupational Health, Small Animals, Infectious Diseases and Virology, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include Malaria Research and Control (35 papers), Mosquito-borne diseases and control (28 papers), Parasites and Host Interactions (16 papers), Vector-borne infectious diseases (14 papers), Parasite Biology and Host Interactions (13 papers), Helminth infection and control (8 papers), Trypanosoma species research and implications (7 papers) and vaccines and immunoinformatics approaches (6 papers). The work is most often cited by research in Parasitology (505 citations), Public Health, Environmental and Occupational Health (653 citations), Infectious Diseases (355 citations), Small Animals (71 citations) and Ecology (184 citations). Jun‐Hu Chen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xiao‐Nong Zhou, Shen‐Bo Chen, Kokouvi Kassegne, Hai‐Mo Shen, Lin Ai, Bin Xu, Eun‐Taek Han, Xia Zhou, Yue Wang and Shengguo Li. Their work appears in journals such as Infectious Diseases of Poverty, Parasites & Vectors, Frontiers in Cellular and Infection Microbiology, Frontiers in Microbiology and Tropical Medicine and Infectious Disease.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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