Bin Gu

5.3k citations
215 papers · 3.7k · h-index 30

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Pluripotent Stem Cells Research 18
    • CRISPR and Genetic Engineering 13
    • RNA Interference and Gene Delivery 6
    • Reconstructive Surgery and Microvascular Techniques 22
    • Reconstructive Facial Surgery Techniques 8

Bin Gu

198 papers receiving 3.6k citations

Peers

Bin Gu
Comparison fields: 5 of 143
  • Cancer Research 584
  • Genetics 238
  • Oncology 539
  • Complementary and Manual Therapy 42
  • Molecular Biology 1.4k
Replace J. Geoffrey Pickering with:
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Bin Gu relative to J. Geoffrey Pickering Canada J. Geoffrey Pickering's profile →
Citations per field
00.5×10.5×
J. Geoffrey Pickering · 1×
Citations per year

Countries citing papers authored by Bin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 215 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007284
2 2018218
3 2014146
4 2006143
5 202098
6 201884
7 200879
8 201276
9 200866
10 200954
11 201552
12 200251
13 201450
14 200945
15 201845
16 200943
17 202141
18 201138
19 201138
20 201738

About Bin Gu

Bin Gu is a scholar working on Molecular Biology, Surgery, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 215 papers that have together received 3.7k indexed citations. Recurring topics across this work include Reconstructive Surgery and Microvascular Techniques (22 papers), Pluripotent Stem Cells Research (18 papers), CRISPR and Genetic Engineering (13 papers), Formal Methods in Verification (9 papers), Neurofibromatosis and Schwannoma Cases (8 papers), Reconstructive Facial Surgery Techniques (8 papers), Cancer-related molecular mechanisms research (7 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Cancer Research (584 citations), Genetics (238 citations), Oncology (539 citations), Complementary and Manual Therapy (42 citations) and Molecular Biology (1.4k citations). Bin Gu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Janet Rossant, Eszter Pósfai, Qingfeng Li, Kai Liu, Tao Zan, Feng Xie, Yun Xie, Martin Fleisher, Haizhou Li and Lisa M. DeAngelis. Their work appears in journals such as Annals of Plastic Surgery, PLoS ONE, Journal of Plastic Reconstructive & Aesthetic Surgery, Plastic & Reconstructive Surgery and Journal of Craniofacial Surgery.

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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