Yaoyu E. Wang

2.5k citations
35 papers · 1.6k · h-index 22

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Yaoyu E. Wang

33 papers receiving 1.6k citations

Peers

Yaoyu E. Wang
Comparison fields: 5 of 106
  • Virology 341
  • Cancer Research 251
  • Immunology 284
  • Periodontics 59
  • Oncology 337
Replace John A. Feild with:
John A. Feild United States
Changhua Ji United States
Ge Jin China
Rekha V. Kumar India
D J Panka United States
Michael Hahne France
Caroline Bäumler Germany
Olivier Spertini Switzerland
Sylvain Lefort France
H Mostowski United States
Yaoyu E. Wang relative to John A. Feild United States John A. Feild's profile →
Citations per field
00.5×7.5×
John A. Feild · 1×
Citations per year

Countries citing papers authored by Yaoyu E. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yaoyu E. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yaoyu E. Wang. 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 Yaoyu E. Wang. The network helps show where Yaoyu E. Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011257
2 2015155
3 2011123
4 2008110
5 2008102
6 201497
7 200893
8 201885
9 201259
10 201757
11 200849
12 201848
13 201641
14 201740
15 201736
16 202136
17 201434
18 201832
19 201128
20 201424

About Yaoyu E. Wang

Yaoyu E. Wang is a scholar working on Molecular Biology, Cancer Research, Virology, Oncology and Infectious Diseases, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), HIV/AIDS drug development and treatment (5 papers), RNA modifications and cancer (5 papers), Cancer-related Molecular Pathways (4 papers), MicroRNA in disease regulation (4 papers), DNA Repair Mechanisms (3 papers), Cancer Genomics and Diagnostics (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Virology (341 citations), Cancer Research (251 citations), Immunology (284 citations), Periodontics (59 citations) and Oncology (337 citations). Yaoyu E. Wang has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Mick Correll, John Quackenbush, Heeyoun Bunch, Brian Lawney, Todd M. Allen, Piotr Siciński, Wojciech Michowski, Bruce D. Walker, Arne Schneidewind and Benjamin P.C. Chen. Their work appears in journals such as Journal of Virology, Cancer Research, Nature Communications, Clinical Cancer Research and PLoS ONE.

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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