Wei Ge

10.2k citations
169 papers · 7.5k indexed · 3 hit papers · h-index 40
Topics
RNA modifications and cancer (19 papers)Cancer, Hypoxia, and Metabolism (18 papers)Epigenetics and DNA Methylation (17 papers)

In The Last Decade

Wei Ge

162 papers receiving 7.4k citations

Hit Papers

Structural and functional bases for broad-spectrum neutra...2004202620112018200920042015250500750

Peers

Wei Ge
Comparison fields: 5 of 148
  • Molecular Biology 4.5k
  • Cancer Research 1.6k
  • Epidemiology 1.1k
  • Immunology 1.0k
  • Biomedical Engineering 690
Replace James F. Collawn with:
James F. Collawn United States
Roosmarijn E. Vandenbroucke Belgium
Michael J. Kruhlak United States
Liu Yang China
Lawrence W. Stanton Singapore
Yili Yang China
Yong Wang China
Levon M. Khachigian Australia
Peng Ye China
Martin Götte Germany
Wei Ge relative to James F. Collawn United States James F. Collawn's profile →
Citations per field
00.5×4.8×
James F. Collawn · 1×
Citations per year

Countries citing papers authored by Wei Ge

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Ge. A scholar is included among the top collaborators of Wei Ge based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei Ge. Wei Ge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 2
3 1
4 0
5 15
6 9
7 29
8 10
9 9
10 26
11 40
12 7
13 61
14 3
15 51
16 24
17 26
18 68
19
Tet2 is required to resolve inflammation by recruiting Hdac2 to specifically repress IL-6breakdown →
609
20
Effects of Rh-endostar in Combination with Radiotherapy on Rats with Lung Cancer
2

About Wei Ge

Wei Ge is a scholar working on Cancer Research, Biological Psychiatry and Molecular Biology, having authored 169 papers that have together received 7.5k indexed citations. Recurring topics across this work include RNA modifications and cancer (19 papers), Cancer, Hypoxia, and Metabolism (18 papers) and Epigenetics and DNA Methylation (17 papers). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (4.5k citations) and Immunology (1.0k citations). Wei Ge has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yanpan Gao, Peifu Tang, Christopher J. Schofield, Shaohua Zhan, Guy Cavet, Yanyu Chen, Xuetao Cao, Xiaochen Dong, Licheng Zhang and Peter S. Linsley. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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