Gewen Zhang

476 citations
17 papers · 350 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • HIV Research and Treatment

Papers in

    • Circular RNAs in diseases 3
    • RNA modifications and cancer 3
    • RNA Research and Splicing 2
    • Cancer-related gene regulation 2
    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 3

Gewen Zhang

17 papers receiving 349 citations

Peers

Gewen Zhang
Comparison fields: 5 of 56
  • Cancer Research 113
  • Virology 20
  • Molecular Biology 183
  • Cell Biology 29
  • Oncology 35
Replace Madhu Lal with:
Madhu Lal United States
Kohsuke Kato Japan
Qingchun Cai China
Chengxiang Wu United States
Jessica Koach Australia
Biter Bilen Switzerland
Lily Sun United States
Jeremy J.P. Shaw United States
Charnell I. Sommers United States
Jianxun Han Canada
Gewen Zhang relative to Madhu Lal United States Madhu Lal's profile →
Citations per field
00.5×12×
Madhu Lal · 1×
Citations per year

Countries citing papers authored by Gewen Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Gewen Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202348
2 201745
3 201544
4 201728
5 201123
6 201323
7 201620
8 202316
9 202016
10 201116
11 202115
12 202414
13 202114
14 202411
15 20107
16 20206
17 20224

About Gewen Zhang

Gewen Zhang is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Cellular and Molecular Neuroscience and Surgery, having authored 17 papers that have together received 350 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), RNA Research and Splicing (2 papers), Cancer-related gene regulation (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Cancer Research (113 citations), Virology (20 citations), Molecular Biology (183 citations), Cell Biology (29 citations) and Oncology (35 citations). Gewen Zhang has collaborated with scholars based in China and United States. Frequent co-authors include Lei Yao, Zhiming Wang, Shuai Liang, Xiwu Ouyang, Yebin Lu, Feng Fang, Tianqiang Song, Gengwen Huang, Zhiming Wang and Yunlong Cui. Their work appears in journals such as Oncotarget, Journal of Agricultural and Food Chemistry, DNA and Cell Biology, Aging and Cell Death and Disease.

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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