Shengkan Jin

13 total papers · 10.5k total citations
7 papers, 477 citations indexed

About

Shengkan Jin is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Shengkan Jin has authored 7 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Shengkan Jin's work include Autophagy in Disease and Therapy (6 papers), Mitochondrial Function and Pathology (2 papers) and Adipose Tissue and Metabolism (2 papers). Shengkan Jin is often cited by papers focused on Autophagy in Disease and Therapy (6 papers), Mitochondrial Function and Pathology (2 papers) and Adipose Tissue and Metabolism (2 papers). Shengkan Jin collaborates with scholars based in United States, Brazil and China. Shengkan Jin's co-authors include Bill Taylor, Yong Zhang, Leroy F. Liu, Yong Zhang, Haiyan Qi, Weihong Xu, Xiangang Zeng, Yongqing Zhang, Noboru Mizushima and Haiyan Zhang and has published in prestigious journals such as Cancer Research, Antioxidants and Redox Signaling and Autophagy.

In The Last Decade

Shengkan Jin

7 papers receiving 471 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shengkan Jin 320 235 95 82 40 7 477
Aniek van der Vaart 327 1.0× 238 1.0× 57 0.6× 198 2.4× 25 0.6× 9 508
Kelsey B. Law 359 1.1× 270 1.1× 38 0.4× 75 0.9× 23 0.6× 12 552
Takumi Kanazawa 201 0.6× 174 0.7× 90 0.9× 117 1.4× 20 0.5× 10 428
Cassandra B. Higgins 230 0.7× 154 0.7× 143 1.5× 76 0.9× 21 0.5× 16 531
Machiko Sakoh‐Nakatogawa 385 1.2× 256 1.1× 47 0.5× 228 2.8× 27 0.7× 8 519
Zsuzsanna Takács 305 1.0× 238 1.0× 58 0.6× 140 1.7× 13 0.3× 10 491
Norito Tamura 296 0.9× 220 0.9× 69 0.7× 213 2.6× 52 1.3× 8 478
Alagammai Kaliappan 327 1.0× 222 0.9× 37 0.4× 105 1.3× 15 0.4× 11 451
Ulrike D. Epple 390 1.2× 240 1.0× 58 0.6× 301 3.7× 27 0.7× 9 517
Douglas Grunwald 391 1.2× 277 1.2× 45 0.5× 141 1.7× 16 0.4× 6 545

Countries citing papers authored by Shengkan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Shengkan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengkan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Shengkan Jin. A scholar is included among the top collaborators of Shengkan 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 Shengkan Jin. Shengkan Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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