Run Shen
Impact in
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- Bone health and treatments
- Cancer-related Molecular Pathways
Papers in
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- Bone Metabolism and Diseases 3
- TGF-β signaling in diseases 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Ubiquitin and proteasome pathways 1
- Epigenetics and DNA Methylation 1
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- Invertebrate Immune Response Mechanisms 2
- Co-authors
- Di Chen (4 shared papers)Regis J. O’Keefe (3 shared papers)Lianping Xing (2 shared papers)Xiumei Wang (2 shared papers)Ting Xie (1 shared paper)Changjiang Weng (1 shared paper)Mo Chen (1 shared paper)Hiroyuki Kaneki (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Proceedings of the National Academy of Sciences (2 papers)The Plant Cell (1 paper)Journal of Cell Science (1 paper)Protein & Cell (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Run Shen
11 papers receiving 492 citations
Peers
Comparison fields: 5 of 64
- Aging 10
- Oncology 132
- Cancer Research 72
- Molecular Biology 346
- Rheumatology 62
Countries citing papers authored by Run Shen
This map shows the geographic impact of Run 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 Run Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run Shen more than expected).
Fields of papers citing papers by Run Shen
This network shows the impact of papers produced by Run 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 Run Shen. The network helps show where Run Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Run 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 | 2005 | 128 | |
| 2 | 2006 | 99 | |
| 3 | 2009 | 79 | |
| 4 | 2009 | 72 | |
| 5 | 2007 | 53 | |
| 6 | 2016 | 36 | |
| 7 | Characterization of the human MSX-1 promoter and an enhancer responsible for retinoic acid induction. | 1994 | 18 |
| 8 | 2020 | 6 | |
| 9 | 2025 | 3 | |
| 10 | 2011 | 2 | |
| 11 | 2008 | 2 |
About Run Shen
Run Shen is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Pharmacology, having authored 11 papers that have together received 498 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (3 papers), Invertebrate Immune Response Mechanisms (2 papers), NF-κB Signaling Pathways (2 papers), TGF-β signaling in diseases (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Ubiquitin and proteasome pathways (1 paper), Epigenetics and DNA Methylation (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Aging (10 citations), Oncology (132 citations), Cancer Research (72 citations), Molecular Biology (346 citations) and Rheumatology (62 citations). Run Shen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Di Chen, Regis J. O’Keefe, Lianping Xing, Xiumei Wang, Ting Xie, Changjiang Weng, Mo Chen, Hiroyuki Kaneki, Yongjun Wang and Fang Liu. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The Plant Cell, Journal of Cell Science and Protein & 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.