Fan Jin

10.9k total citations · 2 hit papers
75 papers, 2.2k citations indexed

About

Fan Jin is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fan Jin has authored 75 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Oncology, 17 papers in Molecular Biology and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fan Jin's work include Cancer Immunotherapy and Biomarkers (29 papers), Genetic factors in colorectal cancer (10 papers) and Colorectal and Anal Carcinomas (8 papers). Fan Jin is often cited by papers focused on Cancer Immunotherapy and Biomarkers (29 papers), Genetic factors in colorectal cancer (10 papers) and Colorectal and Anal Carcinomas (8 papers). Fan Jin collaborates with scholars based in United States, France and Australia. Fan Jin's co-authors include Kevin Norwood, Lei Xu, Karl C. Podratz, Sean C. Dowdy, Shi-Wen Jiang, Aurélien Marabelle, Wilson H. Miller, Philippe A. Cassier, Giovanni M. Bariani and Michele Maio and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer.

In The Last Decade

Fan Jin

74 papers receiving 2.2k citations

Hit Papers

Pembrolizumab in Patients With Microsatellite Instability... 2022 2026 2023 2024 2022 2022 50 100 150 200 250

Peers

Fan Jin
Comparison fields: 5 of 103
  • Oncology 1.2k
  • Molecular Biology 657
  • Pulmonary and Respiratory Medicine 518
  • Surgery 456
  • Cancer Research 334
Replace Kyle C. Strickland with:
Kyle C. Strickland United States
Kathy Han Canada
Emilie M.J. van Brummelen Netherlands
Huan‐Xin Lin China
San‐Gang Wu China
Beyhan Ataseven Germany
Kitty Pavlakis Greece
Giovanni Fucà Italy
Catherine Genestie France
Audrey Mansuet‐Lupo France
Kyle C. Strickland United States View profile →
Citations per field, relative to Fan Jin
Fan Jin · 1×
Citations per year, relative to Fan Jin
Fan Jin · 1×

Countries citing papers authored by Fan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Fan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Jin. A scholar is included among the top collaborators of Fan Jin 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 Fan Jin. Fan Jin 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
# Work Indexed citations
1 2
2 1
3 4
4 0
5 31
6 1
7 25
8 9
9 2
10 55
11 5
12 59
13 97
14 1
15 8
16 64
17 204
18
[Expression patterns of GCN5 and HDAC1 in preimplantational mouse embryos and effects of in-vitro cultures on their expressions].
2
19 57
20
Study on familial aggregation of lung cancer among women in Shanghai
1

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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2026