F. Xiao‐Feng Qin

13.2k citations
115 papers · 8.0k indexed · 4 hit papers · h-index 41
Topics
T-cell and B-cell Immunology (21 papers)Immune Cell Function and Interaction (20 papers)interferon and immune responses (15 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

F. Xiao‐Feng Qin

108 papers receiving 7.9k citations

Hit Papers

TSLP-activated dendritic cells induce an inflammatory T h...20022026201020182005200220072007250500750

Peers

F. Xiao‐Feng Qin
Comparison fields: 5 of 128
  • Immunology 3.8k
  • Molecular Biology 2.6k
  • Oncology 999
  • Physiology 948
  • Epidemiology 885
Replace Makoto Miyagishi with:
Makoto Miyagishi Japan
Oberdan Léo Belgium
Takeshi Tokuhisa Japan
Margaret Karow United States
Thibaut De Smedt Belgium
Valeria Facchinetti United States
Lixin Zheng United States
Tak W. Mak Canada
Shída Yousefi Switzerland
Lin‐Feng Chen United States
F. Xiao‐Feng Qin relative to Makoto Miyagishi Japan Makoto Miyagishi's profile →
Citations per field
00.5×1.5×2.0×
Makoto Miyagishi · 1×
Citations per year

Countries citing papers authored by F. Xiao‐Feng Qin

Since Specialization
Citations

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

Fields of papers citing papers by F. Xiao‐Feng Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Xiao‐Feng Qin. 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 F. Xiao‐Feng Qin. The network helps show where F. Xiao‐Feng Qin may publish in the future.

Co-authorship network of co-authors of F. Xiao‐Feng Qin

This figure shows the co-authorship network connecting the top 25 collaborators of F. Xiao‐Feng Qin. A scholar is included among the top collaborators of F. Xiao‐Feng Qin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with F. Xiao‐Feng Qin. F. Xiao‐Feng Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 3
4 8
5 2
6 1
7 0
8 0
9 7
10 1
11 34
12 4
13 7
14 78
15 151
16 3
17 62
18 8
19 35
20
Plasmacytoid dendritic cells prime IL-10–producing T regulatory cells by inducible costimulator ligandbreakdown →
503

About F. Xiao‐Feng Qin

F. Xiao‐Feng Qin is a scholar working on Immunology, Horticulture and Virology, having authored 115 papers that have together received 8.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (21 papers), Immune Cell Function and Interaction (20 papers) and interferon and immune responses (15 papers). The work is most often cited by research in Immunology (3.8k citations), Geriatrics and Gerontology (354 citations) and Immunology and Allergy (537 citations). F. Xiao‐Feng Qin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Tomoki� Ito, Yong‐Jun Liu, David Baltimore, Omar Duramad, Irvin S. Y. Chen, Dong Sung An, Olivia Perng, Yui-Hsi Wang, Fei Wang and Qiang Tong. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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