William C. Yang

1.2k citations
31 papers · 847 · h-index 14

Impact in

Papers in

William C. Yang

31 papers receiving 801 citations

Peers

William C. Yang
Comparison fields: 5 of 103
  • Radiology, Nuclear Medicine and Imaging 201
  • Molecular Biology 479
  • Cell Biology 82
  • Biotechnology 43
  • Biomedical Engineering 196
Replace Jun Shao with:
Jun Shao China
Jiafeng Liu China
Wei Qiu China
Yanrui Li Australia
Didier Boquet France
Nunzianna Doti Italy
Hubert Krotkiewski Poland
John S. Choy United States
Stephen Buxser United States
Xiang Wu China
William C. Yang relative to Jun Shao China Jun Shao's profile →
Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by William C. Yang

Since Specialization
Citations

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

Fields of papers citing papers by William C. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006132
2 201493
3 201373
4 201572
5 198271
6 197767
7 198055
8 201143
9 198136
10 200235
11 200929
12 201825
13
Pathogenesis of Herpesvirus sylvilagus infection in cottontail rabbits.
198820
14 202016
15 20119
16 20178
17 20228
18 20118
19 19828
20 19798

About William C. Yang

William C. Yang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Infectious Diseases and Physiology, having authored 31 papers that have together received 847 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (5 papers), Protein purification and stability (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), RNA Interference and Gene Delivery (3 papers), Muscle metabolism and nutrition (3 papers), Pluripotent Stem Cells Research (3 papers), Neuroscience and Neural Engineering (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (201 citations), Molecular Biology (479 citations), Cell Biology (82 citations), Biotechnology (43 citations) and Biomedical Engineering (196 citations). William C. Yang has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Samuel P. Bessman, Paul J. Geiger, Thomas Ryll, Rashmi Kshirsagar, Yao‐ming Huang, Susan Erickson‐Viitanen, James R. Swartz, Jiuyi Lü, Borgar Borrebæk and Scott T. Acton. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biotechnology Progress, Science, Journal of Biological Chemistry and Journal of Pharmaceutical Sciences.

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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