Jin Jin

10.8k citations
247 papers · 8.4k · 1 hit paper · h-index 50

Impact in

  • Immunology top 1%
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immune cells in cancer
    • NF-κB Signaling Pathways

Papers in

    • Immune Cell Function and Interaction 18
    • interferon and immune responses 11
    • Immune Response and Inflammation 11
    • T-cell and B-cell Immunology 10
    • CAR-T cell therapy research 14

Jin Jin

240 papers receiving 8.3k citations

Jin Jin's Hit Papers

A double-edged sword of immuno-microenvironment in cardiac homeostasis and injury repair 2021 · 240 citations
2400+1+3Years since publication50100150200

Peers

Jin Jin
Comparison fields: 5 of 167
  • Immunology 2.0k
  • Cancer Research 987
  • Biological Psychiatry 159
  • Oncology 1.4k
  • Molecular Biology 3.4k
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Jin Jin relative to Xuejun Li China Xuejun Li's profile →
Citations per field
00.5×1.5×1.9×
Xuejun Li · 1×
Citations per year

Countries citing papers authored by Jin Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 247 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013261
2 2019248
3
A double-edged sword of immuno-microenvironment in cardiac homeostasis and injury repair
Hit paper breakdown →
2021240
4 2019234
5 2014219
6 2013191
7 2017169
8 2013167
9 2018160
10 2018156
11 2021150
12 2018135
13 2021133
14 2017123
15 2012122
16 2014122
17 2012118
18 2017113
19 2021112
20 2017107

About Jin Jin

Jin Jin is a scholar working on Immunology, Oncology, Molecular Biology, Cancer Research and Hematology, having authored 247 papers that have together received 8.4k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (19 papers), Ubiquitin and proteasome pathways (18 papers), Immune Cell Function and Interaction (18 papers), CAR-T cell therapy research (14 papers), Histone Deacetylase Inhibitors Research (11 papers), interferon and immune responses (11 papers), Immune Response and Inflammation (11 papers) and T-cell and B-cell Immunology (10 papers). The work is most often cited by research in Immunology (2.0k citations), Cancer Research (987 citations), Biological Psychiatry (159 citations), Oncology (1.4k citations) and Molecular Biology (3.4k citations). Jin Jin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shao‐Cong Sun, Yichuan Xiao, Chang Jae-Hoon, Yi‐yuan Li, Hongbo Hu, Xuhong Cheng, Qiang Zou, Kang Sun, Ramkumar Menon and George C. Brittain. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine, PLoS ONE, Nature Immunology and Cell Death and Disease.

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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