Jun Yan

20.6k citations
207 papers · 14.5k indexed · 7 hit papers · h-index 64
  • Immunology top 0.2%
    • Immune Cell Function and Interaction 43
    • T-cell and B-cell Immunology 42
    • Immunotherapy and Immune Responses 30
    • Immune cells in cancer 22
    • Immune Response and Inflammation 16
    • Complement system in diseases 10
    • Extracellular vesicles in disease 19
  • Dermatology top 0.5%
  • Oncology top 1%
    • Polysaccharides and Plant Cell Walls 20

Jun Yan

200 papers receiving 14.3k citations

Hit Papers

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Peers

Jun Yan
Comparison fields: 5 of 150
  • Immunology 5.3k
  • Cancer Research 3.4k
  • Molecular Biology 7.0k
  • Dermatology 773
  • Oncology 1.7k
Replace Wim Declercq with:
Wim Declercq Belgium
Martin Krönke Germany
Tsutomu Chiba Japan
Stephanie C. Eisenbarth United States
Ifor R. Williams United States
Didier Merlin United States
Takanori Kanai∥ Japan
Christoph Becker Germany
Huang‐Ge Zhang United States
Thomas S. Griffith United States
Jun Yan relative to Wim Declercq Belgium Wim Declercq's profile →
Citations per field
00.5×7.8×
Wim Declercq · 1×
Citations per year

Countries citing papers authored by Jun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 202444
4 202416
5 20242
6 20236
7 20238
8 20232
9 20222
10 202211
11 2021118
12 20213
13 2021104
14 2020129
15 202064
16 2015295
17 201579
18 201457
19 201431
20 2004175

About Jun Yan

Jun Yan is a scholar working on Immunology, Cancer Research and Immunology and Allergy, having authored 207 papers that have together received 14.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (43 papers), T-cell and B-cell Immunology (42 papers), Immunotherapy and Immune Responses (30 papers), Immune cells in cancer (22 papers), Polysaccharides and Plant Cell Walls (20 papers), Extracellular vesicles in disease (19 papers), Immune Response and Inflammation (16 papers) and Complement system in diseases (10 papers). The work is most often cited by research in Immunology (5.3k citations), Cancer Research (3.4k citations) and Molecular Biology (7.0k citations). Jun Yan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jingyao Mu, Huang‐Ge Zhang, Donald M. Miller, Xiaoying Zhuang, Zhongbin Deng, Chuanlin Ding, Yihua Cai, Huang-Ge Zhang, Hong Jiang and Gordon D. Ross. Their work appears in journals such as The Journal of Immunology, Nature Communications, Blood, OncoImmunology and PLoS ONE.

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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