Bin Shen
Impact in
- Cell Biology top 10%
- melanin and skin pigmentation
- Cellular transport and secretion
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- Fibroblast Growth Factor Research
- TGF-β signaling in diseases
- Retinal Development and Disorders
- Receptor Mechanisms and Signaling
Papers in
-
- melanin and skin pigmentation 4
- Cellular transport and secretion 1
-
- Cancer-related molecular mechanisms research 3
- MicroRNA in disease regulation 1
- Co-authors
- Daniel B. Rifkin (4 shared papers)Seth J. Orlow (4 shared papers)Marco Arese (3 shared papers)Anna Gualandris (3 shared papers)Pierre‐Emmanuel Gleizes (1 shared paper)Roberta Mazzieri (1 shared paper)Ronald C. Beavis (1 shared paper)Robert Z. Florkiewicz (1 shared paper)
- Journals
- Journal of Cellular Physiology (1 paper)Biochemical Genetics (1 paper)Molecular Biology of the Cell (1 paper)Biochemical and Biophysical Research Communications (1 paper)Experimental Eye Research (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Bin Shen
12 papers receiving 410 citations
Peers
Comparison fields: 5 of 40
- Cell Biology 100
- Molecular Biology 254
- Genetics 46
- Neurology 8
- Cancer Research 13
Countries citing papers authored by Bin Shen
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
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 14 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 122 | |
| 2 | 1999 | 111 | |
| 3 | 2001 | 38 | |
| 4 | 2001 | 36 | |
| 5 | 2001 | 32 | |
| 6 | 1998 | 26 | |
| 7 | 2001 | 14 | |
| 8 | 1999 | 12 | |
| 9 | 2020 | 12 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 4 |
About Bin Shen
Bin Shen is a scholar working on Cell Biology, Cancer Research, Molecular Biology, Psychiatry and Mental health and Immunology, having authored 12 papers that have together received 421 indexed citations. Recurring topics across this work include melanin and skin pigmentation (4 papers), Fibroblast Growth Factor Research (3 papers), Cancer-related molecular mechanisms research (3 papers), TGF-β signaling in diseases (1 paper), Migraine and Headache Studies (1 paper), Cellular transport and secretion (1 paper), T-cell and Retrovirus Studies (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cell Biology (100 citations), Molecular Biology (254 citations), Genetics (46 citations), Neurology (8 citations) and Cancer Research (13 citations). Bin Shen has collaborated with scholars based in United States and China. Frequent co-authors include Daniel B. Rifkin, Seth J. Orlow, Marco Arese, Anna Gualandris, Pierre‐Emmanuel Gleizes, Roberta Mazzieri, Ronald C. Beavis, Robert Z. Florkiewicz, Yan Chen and Preminda Samaraweera. Their work appears in journals such as Journal of Cellular Physiology, Biochemical Genetics, Molecular Biology of the Cell, Biochemical and Biophysical Research Communications and Experimental Eye Research.
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.