Wei Yang

19.7k citations
224 papers · 15.5k · h-index 61

Impact in

    • DNA Repair Mechanisms
    • DNA and Nucleic Acid Chemistry
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering
    • Advanced biosensing and bioanalysis techniques
    • RNA modifications and cancer
  • Virology top 1%

Papers in

    • DNA Repair Mechanisms 82
    • DNA and Nucleic Acid Chemistry 75
    • RNA and protein synthesis mechanisms 44
    • RNA modifications and cancer 32
    • CRISPR and Genetic Engineering 21
    • Advanced biosensing and bioanalysis techniques 17
    • Genetic factors in colorectal cancer 17

Wei Yang

219 papers receiving 15.3k citations

Peers

Wei Yang
Comparison fields: 5 of 170
  • Molecular Biology 12.8k
  • Virology 584
  • Cancer Research 1.5k
  • Pathology and Forensic Medicine 1.6k
  • Genetics 2.4k
Replace Gregory L. Verdine with:
Gregory L. Verdine United States
Ulrich Hübscher Switzerland
Katarzyna Bębenek United States
C.H. Arrowsmith Canada
Giulio Superti‐Furga Austria
Anastassis Perrakis Netherlands
Mike E. O’Donnell United States
Peter Burgers United States
Paul S. Freemont United Kingdom
Rodolfo Ghirlando United States
Wei Yang relative to Gregory L. Verdine United States Gregory L. Verdine's profile →
Citations per field
00.5×2×3×3.8×
Gregory L. Verdine · 1×
Citations per year

Countries citing papers authored by Wei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 224 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001544
2 2010544
3 2000543
4 2005524
5 2006486
6 2013458
7 1990431
8 2007381
9 1999348
10 1998327
11 2006326
12 2007312
13 2010289
14 2007278
15 2005260
16 2012234
17 2001224
18 1995214
19 2006212
20 1995205

About Wei Yang

Wei Yang is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Cancer Research and Infectious Diseases, having authored 224 papers that have together received 15.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (82 papers), DNA and Nucleic Acid Chemistry (75 papers), RNA and protein synthesis mechanisms (44 papers), RNA modifications and cancer (32 papers), CRISPR and Genetic Engineering (21 papers), Bacterial Genetics and Biotechnology (17 papers), Advanced biosensing and bioanalysis techniques (17 papers) and Genetic factors in colorectal cancer (17 papers). The work is most often cited by research in Molecular Biology (12.8k citations), Virology (584 citations), Cancer Research (1.5k citations), Pathology and Forensic Medicine (1.6k citations) and Genetics (2.4k citations). Wei Yang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Marcin Nowotny, Roger Woodgate, Robert J. Crouch, Hong Ling, Changill Ban, François Boudsocq, Yang Gao, Thomas A. Steitz, Peggy Hsieh and Sergei Gaidamakov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell, Nature, Journal of Biological Chemistry and Nature Structural & Molecular 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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