Bin Shen

622 citations
18 papers · 507 · h-index 12

Impact in

Papers in

    • Circular RNAs in diseases 4
    • Retinal Development and Disorders 3
    • Kruppel-like factors research 2
    • Fibroblast Growth Factor Research 2
    • Cancer-related molecular mechanisms research 4
    • MicroRNA in disease regulation 2

Bin Shen

18 papers receiving 498 citations

Peers

Bin Shen
Comparison fields: 5 of 63
  • Cell Biology 157
  • Cancer Research 85
  • Molecular Biology 388
  • Immunology and Allergy 34
  • Nutrition and Dietetics 80
Replace Kaori Ushida with:
Kaori Ushida Japan
Sabrina Guichard Switzerland
Pedro Cruz United States
Ken‐ichi Minehata Japan
Nevin M. Perera United Kingdom
Muneera Alshammari Saudi Arabia
Cecilia Leyton Chile
Mary R. Stofega United States
Xiu-Hong Lv China
Kim Nguyen United States
Bin Shen relative to Kaori Ushida Japan Kaori Ushida's profile →
Citations per field
00.5×3.8×
Kaori Ushida · 1×
Citations per year

Countries citing papers authored by Bin Shen

Since Specialization
Citations

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

Fields of papers citing papers by Bin Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin 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 Bin Shen Line = papers co-authored together Bin Shen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1996114
2 1999108
3 200137
4 200636
5 200135
6 200133
7 201931
8 199825
9 201815
10 200114
11 202412
12 199912
13 202010
14 20218
15 20215
16 20185
17 20214
18 20233

About Bin Shen

Bin Shen is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Nutrition and Dietetics and Oncology, having authored 18 papers that have together received 507 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers), melanin and skin pigmentation (4 papers), Retinal Development and Disorders (3 papers), Kruppel-like factors research (2 papers), MicroRNA in disease regulation (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Cell Biology (157 citations), Cancer Research (85 citations), Molecular Biology (388 citations), Immunology and Allergy (34 citations) and Nutrition and Dietetics (80 citations). Bin Shen has collaborated with scholars based in China and United States. Frequent co-authors include Daniel B. Rifkin, Seth J. Orlow, Anna Gualandris, Marco Arese, Ronald C. Beavis, Roberta Mazzieri, Pierre‐Emmanuel Gleizes, Robert Z. Florkiewicz, Yan Chen and Preminda Samaraweera. Their work appears in journals such as Journal of Cellular Physiology, Journal of Integrative Neuroscience, Traffic, Environmental Toxicology and Biochemical Genetics.

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.

Explore authors with similar magnitude of impact