Min Jin

3.0k citations
73 papers · 2.2k · h-index 31

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Ubiquitin and proteasome pathways 4
    • Immune Cell Function and Interaction 9
    • Immunotherapy and Immune Responses 8
    • Immune cells in cancer 5
    • Immune Response and Inflammation 5

Min Jin

70 papers receiving 2.1k citations

Peers

Min Jin
Comparison fields: 5 of 113
  • Immunology 410
  • Cancer Research 280
  • Genetics 198
  • Oncology 313
  • Hepatology 88
Replace Yosuke Tanaka with:
Yosuke Tanaka Japan
Anders Etzerodt Denmark
Silvia D’Alessio Italy
Martin S. Staege Germany
Ke Rui China
Per Flodby United States
Jean Lu Taiwan
Sandrine Marchetti France
Liantang Wang China
Dean Falb United States
Min Jin relative to Yosuke Tanaka Japan Yosuke Tanaka's profile →
Citations per field
00.5×2.8×
Yosuke Tanaka · 1×
Citations per year

Countries citing papers authored by Min Jin

Since Specialization
Citations

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

Fields of papers citing papers by Min Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021117
2 2011116
3 2013110
4 2014100
5 200797
6 201488
7 201380
8 201059
9 201858
10 200956
11 201256
12 201152
13 202150
14 201949
15 201248
16 201546
17 201846
18 200843
19 201642
20 201439

About Min Jin

Min Jin is a scholar working on Molecular Biology, Immunology, Epidemiology, Oncology and Genetics, having authored 73 papers that have together received 2.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (11 papers), Mesenchymal stem cell research (9 papers), Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (8 papers), Immune cells in cancer (5 papers), Immune Response and Inflammation (5 papers), Chemokine receptors and signaling (5 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Immunology (410 citations), Cancer Research (280 citations), Genetics (198 citations), Oncology (313 citations) and Hepatology (88 citations). Min Jin has collaborated with scholars based in China, United States and Croatia. Frequent co-authors include Yanyun Zhang, Yi Zhang, Yuting Gu, Yiji Cheng, Jingwei Xu, Jiefang Huang, Yichuan Xiao, Qianjun Zhou, Huanbai Xu and Wei Cai. Their work appears in journals such as Stem Cell Research & Therapy, Advances in experimental medicine and biology, Cancer Letters, Cell Death and Disease and BMC Oral Health.

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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