Chen Gu

1.7k citations
33 papers · 1.4k · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Cancer-related gene regulation

Papers in

Chen Gu

32 papers receiving 1.3k citations

Peers

Chen Gu
Comparison fields: 5 of 96
  • Cancer Research 230
  • Molecular Biology 870
  • Oncology 213
  • Nature and Landscape Conservation 90
  • Soil Science 60
Replace Jennifer A. H. Anderson with:
Jennifer A. H. Anderson United States
Sadie Johnson United States
Jonathan M. Matthews United States
Jason B. Garrison United States
Dieter Fink United States
Daniel Steiner Austria
Qinghua Liu China
Stephanie Ann Wagner United States
Henri‐Alexandre Michaud France
William C. Dunn United States
Chen Gu relative to Jennifer A. H. Anderson United States Jennifer A. H. Anderson's profile →
Citations per field
00.5×1.5×2×2.3×
Jennifer A. H. Anderson · 1×
Citations per year

Countries citing papers authored by Chen Gu

Since Specialization
Citations

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

Fields of papers citing papers by Chen Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chen 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 Chen Gu Line = papers co-authored together Chen Gu 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 2014237
2 2018161
3 2014145
4 2016143
5 2014113
6 201580
7 201572
8 202047
9 201442
10 201341
11 201939
12 201837
13 202028
14 202027
15 201826
16 201424
17 201823
18 202221
19 201714
20 202011

About Chen Gu

Chen Gu is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Agronomy and Crop Science, Oncology and Cancer Research, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), RNA and protein synthesis mechanisms (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Cancer-related molecular mechanisms research (3 papers), Bacterial Genetics and Biotechnology (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Ruminant Nutrition and Digestive Physiology (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Cancer Research (230 citations), Molecular Biology (870 citations), Oncology (213 citations), Nature and Landscape Conservation (90 citations) and Soil Science (60 citations). Chen Gu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Peter C. Dedon, Thomas J. Begley, Yok Hian Chionh, I. Ramesh Babu, Megan E. McBee, Guodong Han, Kok Seong Lim, Ruiyang Zhang, Zhongwu Wang and Michael P. Schellenberg. Their work appears in journals such as mAbs, Agronomy Journal, Nucleic Acids Research, Journal of Biotechnology and Blood.

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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