William Yang
Impact in
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- Cancer-related Molecular Pathways
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- NF-κB Signaling Pathways
Papers in
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- Mobile Health and mHealth Applications 7
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- Cardiac Health and Mental Health 4
- Co-authors
- Gail E. Sonenshein (2 shared papers)Jian Shen (2 shared papers)Mark Fitzgerald (1 shared paper)Min Wu (1 shared paper)Zalman Suldan (1 shared paper)Marcello Arsura (1 shared paper)Dong Won Kim (1 shared paper)Raphaëlle Romieu‐Mourez (1 shared paper)
- Journals
- JMIR mhealth and uhealth (2 papers)Journal of the American Medical Informatics Association (1 paper)The Journal of Immunology (1 paper)Journal of Medical Internet Research (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesChinaSouth Africa
In The Last Decade
William Yang
19 papers receiving 538 citations
Peers
Comparison fields: 5 of 91
- Oncology 148
- Cancer Research 65
- Cardiology and Cardiovascular Medicine 94
- Health Informatics 5
- Molecular Biology 230
Countries citing papers authored by William Yang
This map shows the geographic impact of William 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 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 Yang more than expected).
Fields of papers citing papers by William Yang
This network shows the impact of papers produced by William 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 Yang. The network helps show where William Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside William Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 236 | |
| 2 | 2020 | 113 | |
| 3 | 1999 | 43 | |
| 4 | 2021 | 32 | |
| 5 | 2019 | 22 | |
| 6 | 1997 | 22 | |
| 7 | 2019 | 15 | |
| 8 | 2021 | 14 | |
| 9 | 2016 | 14 | |
| 10 | 2020 | 7 | |
| 11 | 2018 | 6 | |
| 12 | 2019 | 6 | |
| 13 | 2018 | 5 | |
| 14 | Impact of Innovation Initiatives in a Federal Government Agency: Measuring and Understanding the Influence of Culture and Employee Attitudes | 2017 | 2 |
| 15 | 2019 | 2 | |
| 16 | 2017 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2025 | 0 |
About William Yang
William Yang is a scholar working on General Health Professions, Cardiology and Cardiovascular Medicine, Applied Psychology, Molecular Biology and Oncology, having authored 20 papers that have together received 544 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (7 papers), Digital Mental Health Interventions (5 papers), Cardiac Health and Mental Health (4 papers), Ubiquitin and proteasome pathways (2 papers), NF-κB Signaling Pathways (2 papers), T-cell and Retrovirus Studies (2 papers), Cancer-related Molecular Pathways (2 papers) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Oncology (148 citations), Cancer Research (65 citations), Cardiology and Cardiovascular Medicine (94 citations), Health Informatics (5 citations) and Molecular Biology (230 citations). William Yang has collaborated with scholars based in United States, China and South Africa. Frequent co-authors include Gail E. Sonenshein, Jian Shen, Mark Fitzgerald, Min Wu, Zalman Suldan, Marcello Arsura, Dong Won Kim, Raphaëlle Romieu‐Mourez, Leonard P. Freedman and Stefania Pianetti. Their work appears in journals such as JMIR mhealth and uhealth, Journal of the American Medical Informatics Association, The Journal of Immunology, Journal of Medical Internet Research and Oncogene.
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.