Bin Gu

5.4k citations
214 papers · 4.0k · h-index 30

Impact in

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

Papers in

Bin Gu

206 papers receiving 3.9k citations

Peers

Bin Gu
Comparison fields: 5 of 147
  • Cancer Research 612
  • Genetics 254
  • Oncology 566
  • Complementary and Manual Therapy 45
  • Molecular Biology 1.4k
Replace Matthias Friedrich with:
Matthias Friedrich Germany
J. Geoffrey Pickering Canada
Tonia L. Vincent United Kingdom
Daniel W Young United States
Kazuhito Naka Japan
Raimund W. Kinne Germany
Xiaoji Luo China
Y. Li United States
Zhen Hua Lin China
Mari Cleide Sogayar Brazil
Bin Gu relative to Matthias Friedrich Germany Matthias Friedrich's profile →
Citations per field
00.5×2×3×4×5×
Matthias Friedrich · 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 214 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007296
2 2018224
3 2006153
4 2014150
5 2020103
6 201886
7 200881
8 201279
9 200872
10 200957
11 201556
12 200254
13 201452
14 200947
15 201846
16 200945
17 201841
18 202140
19 201140
20 201240

About Bin Gu

Bin Gu is a scholar working on Oncology, Cancer Research, Molecular Biology, Surgery and Software, having authored 214 papers that have together received 4.0k 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 (11 papers), Reconstructive Facial Surgery Techniques (8 papers), Neurofibromatosis and Schwannoma Cases (8 papers), Cancer-related molecular mechanisms research (7 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Cancer Research (612 citations), Genetics (254 citations), Oncology (566 citations), Complementary and Manual Therapy (45 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 Marie DeAngelis. Their work appears in journals such as Annals of Plastic Surgery, Plastic & Reconstructive Surgery, Journal of Plastic Reconstructive & Aesthetic Surgery, PLoS ONE 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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