Run Shen

623 citations
12 papers · 494 indexed · h-index 7

Impact in

    • Bone Metabolism and Diseases
    • TGF-β signaling in diseases
    • Ubiquitin and proteasome pathways
    • Developmental Biology and Gene Regulation
    • Cancer-related gene regulation

Papers in

Run Shen

11 papers receiving 488 citations

Peers

Run Shen
Comparison fields: 5 of 62
  • Aging 10
  • Molecular Biology 372
  • Oncology 137
  • Cancer Research 75
  • Rheumatology 70
Replace Rebecca A. Randall with:
Rebecca A. Randall United Kingdom
Megana Prasad United States
Jennifer S. Horner United States
Silvia Remeseiro Sweden
Ermira Pazolli United States
Yayoi Izu Japan
Jennie N. Jeyapalan United Kingdom
Jianzhi Zhao China
Gunther Wuytens Belgium
Blair Hopwood Australia
Run Shen relative to Rebecca A. Randall United Kingdom Rebecca A. Randall's profile →
Citations per field
00.5×1.7×
Rebecca A. Randall · 1×
Citations per year

Countries citing papers authored by Run Shen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Run Shen Line = papers co-authored together Run Shen links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2005128
2 200699
3 200978
4 200972
5 200753
6 201636
7
Characterization of the human MSX-1 promoter and an enhancer responsible for retinoic acid induction.
199418
8 20205
9 20112
10 20082
11 20251
12 20250

About Run Shen

Run Shen is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Pharmacology, having authored 12 papers that have together received 494 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (3 papers), Invertebrate Immune Response Mechanisms (2 papers), TGF-β signaling in diseases (2 papers), NF-κB Signaling Pathways (2 papers), Plant Molecular Biology Research (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), MicroRNA in disease regulation (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Aging (10 citations), Molecular Biology (372 citations), Oncology (137 citations), Cancer Research (75 citations) and Rheumatology (70 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, Changjiang Weng, Ting Xie, Mo Chen, Hiroyuki Kaneki, Yongjun Wang and Hicham Drissi. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Protein & Cell, Cell Research and The Plant 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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