Weixing Fan

1.5k citations
54 papers · 1.1k · h-index 22

Impact in

Papers in

    • Burkholderia infections and melioidosis 6
    • Influenza Virus Research Studies 5
    • Brucella: diagnosis, epidemiology, treatment 10

Weixing Fan

54 papers receiving 1.1k citations

Peers

Weixing Fan
Comparison fields: 5 of 93
  • Biological Psychiatry 126
  • Small Animals 233
  • Microbiology 94
  • Agronomy and Crop Science 143
  • Parasitology 80
Replace Eiko Nakagawa Itano with:
Eiko Nakagawa Itano Brazil
Fuad A. Iraqi Israel
A.J. Husband Australia
James B. Stanton United States
Flora Leister United States
Fabien Grégoire Belgium
Rachel Pilla United States
Wanyong Pang China
Armando Isibasi Mexico
Damián Escribano Spain
Weixing Fan relative to Eiko Nakagawa Itano Brazil Eiko Nakagawa Itano's profile →
Citations per field
00.5×4.6×
Eiko Nakagawa Itano · 1×
Citations per year

Countries citing papers authored by Weixing Fan

Since Specialization
Citations

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

Fields of papers citing papers by Weixing Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004118
2 201680
3 202059
4 201356
5 201755
6 201450
7 201849
8 200946
9 201346
10 201742
11 201632
12 201731
13 201727
14 201526
15 201725
16 201824
17 201724
18 201223
19 201722
20 201122

About Weixing Fan

Weixing Fan is a scholar working on Epidemiology, Small Animals, Infectious Diseases, Genetics and Molecular Biology, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (10 papers), Burkholderia infections and melioidosis (6 papers), Tryptophan and brain disorders (6 papers), Streptococcal Infections and Treatments (5 papers), Genetics and Neurodevelopmental Disorders (5 papers), Influenza Virus Research Studies (5 papers), Animal Disease Management and Epidemiology (5 papers) and Tuberculosis Research and Epidemiology (5 papers). The work is most often cited by research in Biological Psychiatry (126 citations), Small Animals (233 citations), Microbiology (94 citations), Agronomy and Crop Science (143 citations) and Parasitology (80 citations). Weixing Fan has collaborated with scholars based in China, Egypt and United States. Frequent co-authors include Wei Tang, Chen Zhang, Chuantian Xu, Rong Wei, Xinyu Fang, Jun Cai, Dongdong Di, Lisheng Song, Chengming Wang and Bernhard Kaltenboeck. Their work appears in journals such as PLoS ONE, Asian Journal of Psychiatry, Scientific Reports, Frontiers in Veterinary Science and Frontiers in Genetics.

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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