Fachun Jiang

1.2k citations
37 papers · 663 · h-index 15

Impact in

    • COVID-19 epidemiological studies
    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Vectors
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology

Papers in

Fachun Jiang

36 papers receiving 654 citations

Peers

Fachun Jiang
Comparison fields: 5 of 84
  • Modeling and Simulation 92
  • Infectious Diseases 343
  • General Dentistry 9
  • Parasitology 28
  • Cardiology and Cardiovascular Medicine 83
Replace Jake Dunning with:
Jake Dunning United Kingdom
Werner Wunderli Switzerland
Amber Haynes United States
Connor Bamford United Kingdom
S Doraisingham Singapore
Apple C. M. Yeung Hong Kong
Robert Dyrdak Sweden
Tomoe Shimada Japan
Enric Cuevas‐Ferrando Spain
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Citations per field
00.5×9.3×
Jake Dunning · 1×
Citations per year

Countries citing papers authored by Fachun Jiang

Since Specialization
Citations

This map shows the geographic impact of Fachun Jiang'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 Fachun Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fachun Jiang more than expected).

Fields of papers citing papers by Fachun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fachun Jiang. 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 Fachun Jiang. The network helps show where Fachun Jiang may publish in the future.

Co-authors

The 25 scholars most cited alongside Fachun Jiang, 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 Fachun Jiang Line = papers co-authored together Fachun Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020148
2 2020100
3 201745
4 201642
5 201632
6 202032
7 202027
8 201923
9 202021
10 202019
11 202217
12 201616
13 202016
14 201914
15 202114
16 202110
17 202010
18 202210
19 20199
20 20218

About Fachun Jiang

Fachun Jiang is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Global and Planetary Change, Modeling and Simulation and Epidemiology, having authored 37 papers that have together received 663 indexed citations. Recurring topics across this work include Viral Infections and Vectors (9 papers), COVID-19 epidemiological studies (7 papers), Viral Infections and Immunology Research (7 papers), Viral Infections and Outbreaks Research (5 papers), Fire effects on ecosystems (5 papers), Infection Control and Ventilation (4 papers), Vector-Borne Animal Diseases (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Modeling and Simulation (92 citations), Infectious Diseases (343 citations), General Dentistry (9 citations), Parasitology (28 citations) and Cardiology and Cardiovascular Medicine (83 citations). Fachun Jiang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaowen Hu, Jing Jia, Ruqin Gao, Wei Ni, Jiwei Liang, Xin Song, Yuhan Xing, Xiang Zhao, Guizhen Wu and Yuanyuan Guo. Their work appears in journals such as China CDC Weekly, Journal of Travel Medicine, BMC Infectious Diseases, The Science of The Total Environment and Emerging Microbes & Infections.

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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