Aishun Jin

1.3k citations
47 papers · 808 · h-index 14

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

    • Cell death mechanisms and regulation 6
    • T-cell and B-cell Immunology 9
    • Immunotherapy and Immune Responses 6
    • Immune Cell Function and Interaction 5

Aishun Jin

45 papers receiving 791 citations

Peers

Aishun Jin
Comparison fields: 5 of 72
  • Immunology 273
  • Oncology 218
  • Infectious Diseases 152
  • Radiology, Nuclear Medicine and Imaging 163
  • Molecular Biology 321
Replace Tatsuhiko Ozawa with:
Tatsuhiko Ozawa Japan
Qianting Zhai United States
Lianne Vriend Netherlands
Dominika Rudnicka United Kingdom
Johanne T. Jacobsen United States
Kwan T. Chow Hong Kong
Thomas J. Daly United States
Victoria Shi United States
Lukas Heger Germany
Joyce Hu United States
Aishun Jin relative to Tatsuhiko Ozawa Japan Tatsuhiko Ozawa's profile →
Citations per field
00.5×1.5×
Tatsuhiko Ozawa · 1×
Citations per year

Countries citing papers authored by Aishun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Aishun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009210
2 201372
3 202242
4 202140
5 201136
6 200735
7 202233
8 201033
9 201433
10 202127
11 201225
12 201617
13 202015
14 202414
15 202112
16 201811
17 202111
18 201111
19 202211
20 20219

About Aishun Jin

Aishun Jin is a scholar working on Molecular Biology, Immunology, Oncology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 808 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (13 papers), CAR-T cell therapy research (13 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), T-cell and B-cell Immunology (9 papers), COVID-19 Clinical Research Studies (7 papers), Cell death mechanisms and regulation (6 papers), Immunotherapy and Immune Responses (6 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Immunology (273 citations), Oncology (218 citations), Infectious Diseases (152 citations), Radiology, Nuclear Medicine and Imaging (163 citations) and Molecular Biology (321 citations). Aishun Jin has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Tatsuhiko Ozawa, Hiroyuki Kishi, Atsushi Muraguchi, Kazuto Tajiri, Tsutomu Obata, Toshiro Sugiyama, Sachiko Kondo, Shinichi Kadowaki, Koshi Kinoshita and Kazuo Takahashi. Their work appears in journals such as Biochemical and Biophysical Research Communications, Genes & Diseases, Cellular Immunology, Antiviral Research and Frontiers in Molecular Biosciences.

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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