Q C Yu

2.9k citations
24 papers · 2.4k · h-index 19

Impact in

    • Skin and Cellular Biology Research
    • Cellular Mechanics and Interactions
  • Urology top 1%
    • Hair Growth and Disorders

Papers in

Q C Yu

22 papers receiving 2.3k citations

Peers

Q C Yu
Comparison fields: 5 of 93
  • Cell Biology 1.1k
  • Urology 361
  • Virology 283
  • Immunology and Allergy 291
  • Dermatology 167
Replace Lorne B. Taichman with:
Lorne B. Taichman United States
Nicholas P. Morris United States
Peter J. Koch United States
Pamela Hawley‐Nelson United States
C Blanchet‐Bardon France
Alessandra Recchia Italy
A. Hildebrand Germany
Carole Yee United States
David G. Gonzalez United States
Denise Gay United States
Q C Yu relative to Lorne B. Taichman United States Lorne B. Taichman's profile →
Citations per field
00.5×5.3×
Lorne B. Taichman · 1×
Citations per year

Countries citing papers authored by Q C Yu

Since Specialization
Citations

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

Fields of papers citing papers by Q C Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Q C Yu. 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 Q C Yu. The network helps show where Q C Yu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996419
2 2001272
3 1995236
4 1993233
5 1994155
6 1992134
7 1996128
8 1996125
9 1993107
10 1991106
11 199391
12 199280
13 199475
14 199148
15 199336
16 199332
17 199430
18
Transmission of a chronic lymphoproliferative syndrome in ferrets.
199528
19 202422
20
Modification of lysosomal proteolysis in mouse liver with taxol.
198618

About Q C Yu

Q C Yu is a scholar working on Molecular Biology, Cell Biology, Virology, Urology and Genetics, having authored 24 papers that have together received 2.4k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (9 papers), Hair Growth and Disorders (5 papers), HIV Research and Treatment (5 papers), HIV/AIDS drug development and treatment (4 papers), Virus-based gene therapy research (3 papers), Silk-based biomaterials and applications (2 papers), HIV/AIDS Research and Interventions (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Cell Biology (1.1k citations), Urology (361 citations), Virology (283 citations), Immunology and Allergy (291 citations) and Dermatology (167 citations). Q C Yu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Elaine Fuchs, James J. Dowling, Luxuan Guo, Elizabeth R. Hutton, Max Essex, Jason X. Cheng, Kursad Turksen, K. Elizabeth Allen, E. Fuchs and T H Lee. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, The Journal of Cell Biology, Genes & Development and Advanced Science.

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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