William C. Yang

1.2k citations
31 papers · 858 · h-index 14

Impact in

Papers in

William C. Yang

31 papers receiving 811 citations

Peers

William C. Yang
Comparison fields: 5 of 101
  • Radiology, Nuclear Medicine and Imaging 190
  • Molecular Biology 474
  • Cell Biology 81
  • Biotechnology 43
  • Biomedical Engineering 196
Replace Didier Boquet with:
Didier Boquet France
Yanrui Li Australia
Jun Shao China
Nunzianna Doti Italy
Hubert Krotkiewski Poland
Stephen Buxser United States
Maria Pascale Italy
Nghi Nguyen United States
Ravi Kalathur United States
John S. Choy United States
William C. Yang relative to Didier Boquet France Didier Boquet's profile →
Citations per field
00.5×5.3×
Didier Boquet · 1×
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 201497
3 201575
4 201373
5 198272
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 202017
15 20179
16 20119
17 20119
18 20228
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, Physiology and Biomedical Engineering, having authored 31 papers that have together received 858 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Protein purification and stability (4 papers), Muscle metabolism and nutrition (3 papers), Pluripotent Stem Cells Research (3 papers), RNA Interference and Gene Delivery (3 papers), Muscle activation and electromyography studies (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (190 citations), Molecular Biology (474 citations), Cell Biology (81 citations), Biotechnology (43 citations) and Biomedical Engineering (196 citations). William C. Yang has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Samuel P. Bessman, Paul J. Geiger, Yao‐ming Huang, Thomas Ryll, Rashmi Kshirsagar, Susan Erickson‐Viitanen, Jiuyi Lü, James R. Swartz, Borgar Borrebæk and Joshua J. Rychak. Their work appears in journals such as Biochemical and Biophysical Research Communications, Science, Biotechnology Progress, Journal of Biological Chemistry and Contrast Media & Molecular Imaging.

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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