Bin Shi

2.5k citations
33 papers · 2.0k · h-index 19

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Interference and Gene Delivery
    • Ubiquitin and proteasome pathways

Papers in

    • Angiogenesis and VEGF in Cancer 5
    • RNA Research and Splicing 4
    • RNA modifications and cancer 4
    • Cancer-related gene regulation 4
    • Epigenetics and DNA Methylation 4
    • MicroRNA in disease regulation 7
    • Cancer-related molecular mechanisms research 4
    • Cancer, Hypoxia, and Metabolism 4

Bin Shi

32 papers receiving 2.0k citations

Peers

Bin Shi
Comparison fields: 5 of 106
  • Cancer Research 623
  • Molecular Biology 1.6k
  • Oncology 329
  • Genetics 249
  • Biotechnology 50
Replace Jürgen Veeck with:
Jürgen Veeck Germany
Yun K. Hom United States
Yu‐Ting Chou Taiwan
Sushma Gurumurthy United States
Kevin McDonnell United States
Hirokazu Ohata Japan
Chunjing Bian China
Pascal Drané France
Hirofumi Nakayama Japan
Dongjun Jeong South Korea
Bin Shi relative to Jürgen Veeck Germany Jürgen Veeck's profile →
Citations per field
00.5×1.5×
Jürgen Veeck · 1×
Citations per year

Countries citing papers authored by Bin Shi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010310
2 2007294
3 2005222
4 2011195
5 2009156
6 2009104
7 199993
8 201391
9 201189
10 200487
11 200671
12 201443
13 200138
14 200436
15 201925
16 200524
17 201723
18 201321
19 201920
20 201017

About Bin Shi

Bin Shi is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Pathology and Forensic 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), Angiogenesis and VEGF in Cancer (5 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Cancer Research (623 citations), Molecular Biology (1.6k citations), Oncology (329 citations), Genetics (249 citations) and Biotechnology (50 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, Mien‐Chie Hung, Marco di Prisco, Marc Abrams, Peter S. Linsley, Chien‐Chen Lai, Long‐Yuan Li and Chun-Yi Lin. Their work appears in journals such as Journal of Cellular Physiology, Journal of Histochemistry & Cytochemistry, Nature Cell Biology, Journal of Biological Chemistry and Molecular Cancer Therapeutics.

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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