Chuangfu Chen

2.9k citations
153 papers · 2.1k · h-index 25

Impact in

Papers in

Chuangfu Chen

151 papers receiving 2.1k citations

Peers

Chuangfu Chen
Comparison fields: 5 of 108
  • Small Animals 516
  • Parasitology 356
  • Infectious Diseases 342
  • Endocrinology 98
  • Agronomy and Crop Science 157
Replace J. M. Donahue with:
J. M. Donahue United States
Luciano Nakazato Brazil
Lonneke Vervelde United Kingdom
Sante Roperto Italy
S. K. Maheswaran United States
Nat Bumstead United Kingdom
Esmeralda Minguijón Spain
Philippa M. Beard United Kingdom
Samuel J. Black United States
Louis C. Gasbarre United States
Chuangfu Chen relative to J. M. Donahue United States J. M. Donahue's profile →
Citations per field
00.5×10.6×
J. M. Donahue · 1×
Citations per year

Countries citing papers authored by Chuangfu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chuangfu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014191
2 201551
3 201345
4 201244
5 201543
6 201342
7 201242
8 201640
9 201840
10 201237
11 201836
12 202335
13 201432
14 201030
15 201830
16 201729
17 202028
18 201928
19 201527
20 201526

About Chuangfu Chen

Chuangfu Chen is a scholar working on Small Animals, Molecular Biology, Epidemiology, Infectious Diseases and Immunology, having authored 153 papers that have together received 2.1k indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (62 papers), Burkholderia infections and melioidosis (20 papers), Salmonella and Campylobacter epidemiology (16 papers), Galectins and Cancer Biology (15 papers), Vector-borne infectious diseases (15 papers), Animal Disease Management and Epidemiology (14 papers), Escherichia coli research studies (13 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). The work is most often cited by research in Small Animals (516 citations), Parasitology (356 citations), Infectious Diseases (342 citations), Endocrinology (98 citations) and Agronomy and Crop Science (157 citations). Chuangfu Chen has collaborated with scholars based in China, Hungary and United Kingdom. Frequent co-authors include Jun Qiao, Wei Ni, Yuanzhi Wang, Hui Zhang, Fei Guo, Shengwei Hu, Shengwei Hu, Yuanzhi Wang, Min Yang and Irina A. Polejaeva. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology, Parasites & Vectors, Research in Veterinary Science and Canadian Journal of Microbiology.

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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