Jingshi Shen
- Cell Biology top 0.2%
- Cellular transport and secretion 30
- Endoplasmic Reticulum Stress and Disease 11
- Physiology top 1%
- Calcium signaling and nucleotide metabolism 7
- Erythrocyte Function and Pathophysiology 6
- Aging top 5%
- Molecular Biology top 5%
- Lipid Membrane Structure and Behavior 17
- Retinal Development and Disorders 6
- RNA regulation and disease 4
- Epidemiology top 2%
-
- Advanced Memory and Neural Computing 4
- Co-authors
- Ron PrywesXi ChenLinda M. HendershotJames E. RothmanHaijia YuShailendra S. RathoreDavid TaresteThomas J. Melia
- Cited by
- Cell BiologyPhysiologyAging
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (9 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Jingshi Shen
50 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Cell Biology 3.1k
- Physiology 217
- Aging 65
- Molecular Biology 2.3k
- Epidemiology 1.1k
Countries citing papers authored by Jingshi Shen
This map shows the geographic impact of Jingshi Shen'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 Jingshi Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingshi Shen more than expected).
Fields of papers citing papers by Jingshi Shen
This network shows the impact of papers produced by Jingshi Shen. 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 Jingshi Shen. The network helps show where Jingshi Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jingshi Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 3 | |
| 9 | 2020 | 10 | |
| 10 | 2020 | 39 | |
| 11 | 2020 | 26 | |
| 12 | 2019 | 23 | |
| 13 | 2019 | 34 | |
| 14 | 2017 | 50 | |
| 15 | 2017 | 29 | |
| 16 | 2016 | 113 | |
| 17 | 2013 | 50 | |
| 18 | 2011 | 10 | |
| 19 | 2010 | 104 | |
| 20 | 2005 | 98 |
About Jingshi Shen
Jingshi Shen is a scholar working on Cell Biology, Physiology and Molecular Biology, having authored 52 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cellular transport and secretion (30 papers), Lipid Membrane Structure and Behavior (17 papers), Endoplasmic Reticulum Stress and Disease (11 papers), Calcium signaling and nucleotide metabolism (7 papers), Erythrocyte Function and Pathophysiology (6 papers), Retinal Development and Disorders (6 papers), RNA regulation and disease (4 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Cell Biology (3.1k citations), Physiology (217 citations) and Aging (65 citations). Jingshi Shen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ron Prywes, Xi Chen, Linda M. Hendershot, James E. Rothman, Haijia Yu, Shailendra S. Rathore, David Tareste, Thomas J. Melia, Yan Wang and Randal J. Kaufman. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.