Jin Jin

10.2k total citations · 1 hit paper
248 papers, 7.0k citations indexed

About

Jin Jin is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jin Jin has authored 248 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Molecular Biology, 64 papers in Immunology and 61 papers in Oncology. Recurrent topics in Jin Jin's work include NF-κB Signaling Pathways (21 papers), Immune Cell Function and Interaction (19 papers) and Ubiquitin and proteasome pathways (17 papers). Jin Jin is often cited by papers focused on NF-κB Signaling Pathways (21 papers), Immune Cell Function and Interaction (19 papers) and Ubiquitin and proteasome pathways (17 papers). Jin Jin collaborates with scholars based in China, United States and Germany. Jin Jin's co-authors include Shao‐Cong Sun, Yichuan Xiao, Jae‐Hoon Chang, Hongbo Hu, Yi‐yuan Li, Xuhong Cheng, Qiang Zou, Kang Sun, Ramkumar Menon and George C. Brittain and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jin Jin

239 papers receiving 6.9k citations

Hit Papers

A double-edged sword of immuno-microenvironment in cardia... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Jin Jin
Comparison fields: 5 of 166
  • Molecular Biology 3.3k
  • Immunology 1.9k
  • Oncology 1.4k
  • Cancer Research 1.0k
  • Epidemiology 574
Replace Wei Liang with:
Wei Liang China
Rongxin Zhang China
Tae Sung Kim South Korea
Lifu Wang China
Xiaoqing Li China
Jing Li China
Ming Li China
Xiaoyan Shen China
Ajay P. Singh United States
Wei Xiao China
Wei Liang China View profile →
Citations per field, relative to Jin Jin
Jin Jin · 1×
Citations per year, relative to Jin Jin
Jin Jin · 1×

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-authorship network of co-authors of Jin Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Jin. A scholar is included among the top collaborators of Jin 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 Jin Jin. Jin 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 4
2 1
3 3
4 0
5 8
6 2
7 7
8 1
9 4
10 1
11 14
12 11
13 8
14 55
15 13
16 27
17 144
18 65
19
Preparation of triterpenoid ilexoside O from Ilex pubescens and study on its antithrombotic activity
1
20
Growth of Rice Cells in Shenzhou 8 under Microgravity and Transcriptome Analysis
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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026