Weiyang Jin

1.3k total citations · 1 hit paper
19 papers, 922 citations indexed

About

Weiyang Jin is a scholar working on Molecular Biology, Cell Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Weiyang Jin has authored 19 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Weiyang Jin's work include Cellular Mechanics and Interactions (6 papers), Cancer Mechanisms and Therapy (4 papers) and Immunotherapy and Immune Responses (3 papers). Weiyang Jin is often cited by papers focused on Cellular Mechanics and Interactions (6 papers), Cancer Mechanisms and Therapy (4 papers) and Immunotherapy and Immune Responses (3 papers). Weiyang Jin collaborates with scholars based in China, United States and France. Weiyang Jin's co-authors include Lance C. Kam, Morgan Huse, Farokh Dotiwala, Judy Lieberman, Julien Husson, Alon Oyler‐Yaniv, Nicolas Biais, Roshni Basu, Benjamin M. Whitlock and Audrey Le Floc’h and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Weiyang Jin

18 papers receiving 916 citations

Hit Papers

Cytotoxic T Cells Use Mechanical Force to Potentiate Targ... 2016 2026 2019 2022 2016 100 200 300

Peers

Weiyang Jin
Comparison fields: 5 of 89
  • Molecular Biology 320
  • Immunology 318
  • Cell Biology 254
  • Oncology 219
  • Biomedical Engineering 149
Replace Zhengpeng Wan with:
Zhengpeng Wan United States
Praju Vikas Anekal United States
Ana Kostić United States
Kathryn M. Eisenmann United States
Hoa Truong Netherlands
Erdem D. Tabdanov United States
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Chen Luxenburg Israel
Sreeja B. Asokan United States
Yevgeniy Romin United States
Zhengpeng Wan United States View profile →
Citations per field, relative to Weiyang Jin
Weiyang Jin · 1×
Citations per year, relative to Weiyang Jin
Weiyang Jin · 1×

Countries citing papers authored by Weiyang Jin

Since Specialization
Citations

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

Fields of papers citing papers by Weiyang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiyang Jin

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 13
3 1
4 51
5 11
6 8
7 27
8 1
9 5
10 18
11 20
12 17
13 73
14 96
15 131
16 28
17 6
18
Cytotoxic T Cells Use Mechanical Force to Potentiate Target Cell Killing breakdown →
345
19 71

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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