Bin Shi
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- Ubiquitin and proteasome pathways
Papers in
-
- RNA Research and Splicing 4
- Angiogenesis and VEGF in Cancer 4
- RNA Interference and Gene Delivery 3
- Cancer-related gene regulation 3
- Epigenetics and DNA Methylation 3
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- MicroRNA in disease regulation 7
- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Laura Sepp‐Lorenzino (8 shared papers)Renato Baserga (5 shared papers)Tiziana DeAngelis (2 shared papers)Marco di Prisco (2 shared papers)Mien‐Chie Hung (3 shared papers)Marc Abrams (3 shared papers)Peter S. Linsley (1 shared paper)Chun-Yi Lin (2 shared papers)
- Journals
- Journal of Histochemistry & Cytochemistry (3 papers)Journal of Cellular Physiology (3 papers)Nature Cell Biology (2 papers)Journal of Biological Chemistry (2 papers)BMC Gastroenterology (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Bin Shi
32 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 551
- Molecular Biology 1.4k
- Oncology 291
- Genetics 225
- Obstetrics and Gynecology 36
Countries citing papers authored by Bin Shi
This map shows the geographic impact of Bin Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Shi more than expected).
Fields of papers citing papers by Bin Shi
This network shows the impact of papers produced by Bin Shi. 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 Shi. The network helps show where Bin Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 311 | |
| 2 | 2007 | 293 | |
| 3 | 2005 | 224 | |
| 4 | 2011 | 196 | |
| 5 | 2009 | 156 | |
| 6 | 2009 | 105 | |
| 7 | 2013 | 93 | |
| 8 | 1999 | 92 | |
| 9 | 2011 | 91 | |
| 10 | 2004 | 87 | |
| 11 | 2006 | 71 | |
| 12 | 2014 | 43 | |
| 13 | 2001 | 38 | |
| 14 | 2004 | 36 | |
| 15 | 2019 | 25 | |
| 16 | 2005 | 24 | |
| 17 | 2017 | 23 | |
| 18 | 2013 | 21 | |
| 19 | 2019 | 20 | |
| 20 | 2010 | 17 |
About Bin Shi
Bin Shi is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 2.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), RNA Research and Splicing (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), RNA Interference and Gene Delivery (3 papers), Cancer-related gene regulation (3 papers), Estrogen and related hormone effects (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (551 citations), Molecular Biology (1.4k citations), Oncology (291 citations), Genetics (225 citations) and Obstetrics and Gynecology (36 citations). Bin Shi has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Laura Sepp‐Lorenzino, Renato Baserga, Tiziana DeAngelis, Marco di Prisco, Mien‐Chie Hung, Marc Abrams, Peter S. Linsley, Chun-Yi Lin, Chien‐Chen Lai and Long‐Yuan Li. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, Journal of Cellular Physiology, Nature Cell Biology, Journal of Biological Chemistry and BMC Gastroenterology.
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.