Wenduo Gu

1.1k citations
25 papers · 791 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Angiogenesis and VEGF in Cancer 4
    • Single-cell and spatial transcriptomics 4
    • Congenital heart defects research 4
    • Atherosclerosis and Cardiovascular Diseases 3

Wenduo Gu

21 papers receiving 786 citations

Peers

Wenduo Gu
Comparison fields: 5 of 79
  • Cancer Research 162
  • Genetics 94
  • Immunology 151
  • Molecular Biology 380
  • Biomaterials 74
Replace Mathilde Lemitre with:
Mathilde Lemitre France
Jan‐Marcus Daniel Germany
Vincent van Weel Netherlands
Frederic Pipp Germany
Marc R. Reboll Germany
Guodong Tie United States
Erin Lambers United States
Toshiharu Eto Japan
Himadri Roy Finland
Olga Dashevsky United States
Wenduo Gu relative to Mathilde Lemitre France Mathilde Lemitre's profile →
Citations per field
00.5×2×2.7×
Mathilde Lemitre · 1×
Citations per year

Countries citing papers authored by Wenduo Gu

Since Specialization
Citations

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

Fields of papers citing papers by Wenduo Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018180
2 201988
3 201877
4 201676
5 201974
6 201966
7 201842
8 202039
9 201730
10 202027
11 202025
12 201922
13 201813
14 20219
15 20217
16 20225
17 20243
18 20193
19 20253
20 20171

About Wenduo Gu

Wenduo Gu is a scholar working on Molecular Biology, Immunology, Genetics, Surgery and Biomaterials, having authored 25 papers that have together received 791 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Single-cell and spatial transcriptomics (4 papers), Congenital heart defects research (4 papers), Mesenchymal stem cell research (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Connective tissue disorders research (2 papers). The work is most often cited by research in Cancer Research (162 citations), Genetics (94 citations), Immunology (151 citations), Molecular Biology (380 citations) and Biomaterials (74 citations). Wenduo Gu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Qingbo Xu, Jingjing Cai, Yanhua Hu, Jiacheng Deng, Yao Lu, Xuechong Hong, Claire M.F. Potter, Zhichao Ni, Witold N. Nowak and Aijuan Qu. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Circulation Research, Journal of Biological Chemistry, Cellular and Molecular Life Sciences and Molecular Systems Biology.

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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