Kun Jin

1.2k citations
76 papers · 768 · h-index 15

Impact in

Papers in

    • Prostate Cancer Diagnosis and Treatment 16
    • Prostate Cancer Treatment and Research 10
    • Renal cell carcinoma treatment 3
    • Bladder and Urothelial Cancer Treatments 10

Kun Jin

74 papers receiving 764 citations

Peers

Kun Jin
Comparison fields: 5 of 91
  • Nephrology 64
  • Biological Psychiatry 15
  • Pulmonary and Respiratory Medicine 150
  • Cancer Research 69
  • Periodontics 18
Replace Chang Xu with:
Chang Xu United States
Nevin Karakuş Türkiye
Lee A. Zella United States
Nobutaka Kitamura Japan
Jianqiu Kong China
Zhou Xiao China
Fuxun Zhang China
Sinan Altan Kocaman Türkiye
Humberto Dellê Brazil
Qiang Xie China
Kun Jin relative to Chang Xu United States Chang Xu's profile →
Citations per field
00.5×5.3×
Chang Xu · 1×
Citations per year

Countries citing papers authored by Kun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Kun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201961
2 202144
3 202143
4 202038
5 202034
6 202134
7 202226
8 201824
9 202124
10 202022
11 202222
12 202221
13 202017
14 202216
15 202314
16 202014
17 202113
18 202013
19 202013
20 202112

About Kun Jin

Kun Jin is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Psychiatry and Mental health, Statistics and Probability and Molecular Biology, having authored 76 papers that have together received 768 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (16 papers), Bladder and Urothelial Cancer Treatments (10 papers), Prostate Cancer Treatment and Research (10 papers), Statistical Methods in Clinical Trials (5 papers), Renal cell carcinoma treatment (3 papers), Bipolar Disorder and Treatment (3 papers), Epigenetics and DNA Methylation (3 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Nephrology (64 citations), Biological Psychiatry (15 citations), Pulmonary and Respiratory Medicine (150 citations), Cancer Research (69 citations) and Periodontics (18 citations). Kun Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shi Qiu, Qiang Wei, Lu Yang, Xianghong Zhou, Xiaonan Zheng, Jiakun Li, Xinyang Liao, Xiang Tu, Di Jin and Yige Bao. Their work appears in journals such as Journal of Affective Disorders, Medicine, Asian Journal of Andrology, Frontiers in Psychiatry and Frontiers in Oncology.

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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