Fachun Jiang

1.2k citations
35 papers · 647 · h-index 14

Impact in

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

Papers in

Fachun Jiang

34 papers receiving 639 citations

Peers

Fachun Jiang
Comparison fields: 5 of 92
  • Modeling and Simulation 122
  • Infectious Diseases 429
  • Agronomy and Crop Science 64
  • General Dentistry 10
  • Parasitology 29
Replace Jake Dunning with:
Jake Dunning United Kingdom
Werner Wunderli Switzerland
Tomoe Shimada Japan
Qinlong Jing China
S Doraisingham Singapore
C. Margaret Johnson-Lussenburg Canada
Shanshan Yu China
Hong Kai Lee Singapore
Uzma Bashir Aamir Pakistan
Lilian W. Waiboci Kenya
Fachun Jiang relative to Jake Dunning United Kingdom Jake Dunning's profile →
Citations per field
00.5×4.8×
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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020146
2 2020100
3 201743
4 201641
5 201632
6 202032
7 202027
8 201922
9 202021
10 202019
11 202217
12 201616
13 202016
14 201913
15 202112
16 202210
17 20209
18 20199
19 20218
20 20218

About Fachun Jiang

Fachun Jiang is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Agronomy and Crop Science and Global and Planetary Change, having authored 35 papers that have together received 647 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), Viral Infections and Vectors (9 papers), Animal Disease Management and Epidemiology (7 papers), Viral Infections and Immunology Research (6 papers), Viral Infections and Outbreaks Research (6 papers), Fire effects on ecosystems (5 papers), Infection Control and Ventilation (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Modeling and Simulation (122 citations), Infectious Diseases (429 citations), Agronomy and Crop Science (64 citations), General Dentistry (10 citations) and Parasitology (29 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, Jiwei Liang, Wei Ni, Xin Song, Yuhan Xing, Xiang Zhao, Yuanyuan Guo and Guizhen Wu. Their work appears in journals such as Journal of Travel Medicine, BMC Infectious Diseases, China CDC Weekly, The Science of The Total Environment and Scientific Reports.

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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