Yan Fu

29 papers receiving 872 citations

Yan Fu's Hit Papers

CD4+ T cell-induced inflammatory cell death controls immune-evasive tumours 2023 · 224 citations
2240+1+2Years since publication50100150200

Peers

Yan Fu
Comparison fields: 5 of 92
  • Small Animals 124
  • Parasitology 87
  • Immunology 252
  • Virology 26
  • Oncology 117
Replace Ricardo de Francisco Strefezzi with:
Ricardo de Francisco Strefezzi Brazil
Maria E. Lund Australia
Elizabeth Fiona McInnes United Kingdom
Craig A. Watkins United Kingdom
Juan‐Hua Quan China
Kristen N. Kindrachuk United States
Yiquan Wu China
Caitríona M. Walsh Ireland
Tobi G. Maguire United States
Judith Helena Prieto United States
Yan Fu relative to Ricardo de Francisco Strefezzi Brazil Ricardo de Francisco Strefezzi's profile →
Citations per field
00.5×1.5×2×2.4×
Ricardo de Francisco Strefezzi · 1×
Citations per year

Countries citing papers authored by Yan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CD4+ T cell-induced inflammatory cell death controls immune-evasive tumours
Hit paper breakdown →
2023224
2 201474
3 202172
4 201460
5 201251
6 201851
7 201746
8 201645
9 202133
10 202024
11 202023
12 201523
13 201220
14 201316
15 201811
16 202411
17 201910
18 201710
19 202310
20 20159

About Yan Fu

Yan Fu is a scholar working on Immunology, Small Animals, Animal Science and Zoology, Epidemiology and Parasitology, having authored 29 papers that have together received 879 indexed citations. Recurring topics across this work include Immune Response and Inflammation (4 papers), Helminth infection and control (4 papers), Neonatal Respiratory Health Research (3 papers), Research on Leishmaniasis Studies (3 papers), Trypanosoma species research and implications (3 papers), Coccidia and coccidiosis research (2 papers), Parasite Biology and Host Interactions (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Small Animals (124 citations), Parasitology (87 citations), Immunology (252 citations), Virology (26 citations) and Oncology (117 citations). Yan Fu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Rene E. Harrison, Grace M. Mulcahy, Andréas Lazaros Chryssafidis, Alan M. Jones, Meral Tunc‐Ozdemir, Jianhua Xing, Daisuke Urano, Trevor Glaros, Liwu Li and Timothy C. Elston. Their work appears in journals such as Frontiers in Immunology, Veterinary Parasitology, Scientific Reports, Cell and The FASEB Journal.

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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