Yunyi Wei

34 papers receiving 1.7k citations

Peers

Yunyi Wei
Comparison fields: 5 of 104
  • Hepatology 546
  • Molecular Medicine 78
  • Infectious Diseases 276
  • Toxicology 46
  • Molecular Biology 878
Replace Vincent S. Stoll with:
Vincent S. Stoll United States
Rong‐Guang Shao China
Shridhar Bhat United States
Sujata Sharma India
Demin Zhou China
Francis X. Wilson United Kingdom
Kyun‐Hwan Kim South Korea
Huajun Zhao China
Joel Bard United States
Randall L. Halcomb United States
Yunyi Wei relative to Vincent S. Stoll United States Vincent S. Stoll's profile →
Citations per field
00.5×5.0×
Vincent S. Stoll · 1×
Citations per year

Countries citing papers authored by Yunyi Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yunyi Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004228
2 2005169
3 2000167
4 1997154
5 1999126
6 2004125
7 1995123
8 199890
9 201086
10 200779
11 200771
12 200560
13 200442
14 200731
15 200326
16 200726
17 199522
18 200716
19 201213
20 202313

About Yunyi Wei

Yunyi Wei is a scholar working on Molecular Biology, Hepatology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Epidemiology, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Hepatitis B Virus Studies (5 papers), HIV/AIDS drug development and treatment (5 papers), Enzyme Catalysis and Immobilization (4 papers), Cancer therapeutics and mechanisms (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Bioactive Compounds and Antitumor Agents (3 papers). The work is most often cited by research in Hepatology (546 citations), Molecular Medicine (78 citations), Infectious Diseases (276 citations), Toxicology (46 citations) and Molecular Biology (878 citations). Yunyi Wei has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Lora Swenson, Zygmunt S. Derewenda, Urszula Derewenda, B. Govinda Rao, Chao Lin, Debra Brennan, Ann D. Kwong, Paul S. Charifson, Cynthia A. Gates and Robert B. Perni. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Journal of Molecular Biology, Antimicrobial Agents and Chemotherapy and Journal of Retailing and Consumer Services.

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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