Jin Wang

17.4k citations
153 papers · 10.3k indexed · 5 hit papers · h-index 49
Topics
Cell death mechanisms and regulation (29 papers)Autophagy in Disease and Therapy (29 papers)Immune Cell Function and Interaction (19 papers)

In The Last Decade

Jin Wang

147 papers receiving 10.1k citations

Hit Papers

Essential role for Nix in autophagic maturation of erythr...199920262008201720081999200220202015250500750

Peers

Jin Wang
Comparison fields: 5 of 164
  • Molecular Biology 4.7k
  • Immunology 4.0k
  • Epidemiology 2.0k
  • Oncology 1.4k
  • Infectious Diseases 1.2k
Replace Lixin Zheng with:
Lixin Zheng United States
Maxim N. Artyomov United States
Geoffrey Neale United States
Min Chen China
Kim Newton United States
Oberdan Léo Belgium
A. Phillip West United States
James W. Larrick United States
Andrew D. Wells United States
Moira K. B. Whyte United Kingdom
Jin Wang relative to Lixin Zheng United States Lixin Zheng's profile →
Citations per field
00.5×1.5×2.4×
Lixin Zheng · 1×
Citations per year

Countries citing papers authored by Jin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Wang. A scholar is included among the top collaborators of Jin Wang 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 Wang. Jin Wang 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
#WorkIndexed citations
1 7
2 1
3 27
4 0
5 31
6 7
7 36
8 1
9 64
10 186
11 48
12 30
13
[Human hepatocarcinoma cell apoptosis induced by toosendanin through mitochondria-dependent pathway].
2
14 6
15 51
16 60
17 19
18 52
19 295
20 62

About Jin Wang

Jin Wang is a scholar working on Immunology, Physiology and Virology, having authored 153 papers that have together received 10.3k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (29 papers), Autophagy in Disease and Therapy (29 papers) and Immune Cell Function and Interaction (19 papers). The work is most often cited by research in Immunology (4.0k citations), Physiology (336 citations) and Molecular Biology (4.7k citations). Jin Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Min Chen, Michael J. Lenardo, Lixin Zheng, Héctor Sandoval, Francis Ka-Ming Chan, Richard M. Siegel, Jennifer M. Puck, Stephen E. Straus, Swapan Dasgupta and Armin Schumacher. Their work appears in journals such as Nature, Science and Cell.

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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