Willa Chen
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
-
- Tryptophan and brain disorders
Papers in
-
- Data Visualization and Analytics 2
-
- Pharmaceutical Practices and Patient Outcomes 1
- Sirtuins and Resveratrol in Medicine 1
- Co-authors
- Agnieszka Czopik (1 shared paper)Qing Xu (1 shared paper)Mallikarjuna R. Metukuri (1 shared paper)David C. Fargo (1 shared paper)Xiaoling Li (1 shared paper)Nevzat Kazgan (1 shared paper)Michael T. Shanahan (1 shared paper)M. Andrea Azcárate-Peril (1 shared paper)
- Journals
- Gastroenterology (1 paper)Speech Communication (1 paper)Radiology (1 paper)The Journal of the American Board of Family Medicine (1 paper)Econometric Theory (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Willa Chen
9 papers receiving 227 citations
Peers
Comparison fields: 5 of 82
- Geriatrics and Gerontology 46
- Biological Psychiatry 11
- Physiology 11
- Linguistics and Language 9
- Aging 3
Countries citing papers authored by Willa Chen
This map shows the geographic impact of Willa Chen'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 Willa Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Willa Chen more than expected).
Fields of papers citing papers by Willa Chen
This network shows the impact of papers produced by Willa Chen. 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 Willa Chen. The network helps show where Willa Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Willa Chen, 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 | 2017 | 157 | |
| 2 | 2010 | 22 | |
| 3 | 2017 | 14 | |
| 4 | 2012 | 14 | |
| 5 | 2021 | 8 | |
| 6 | 2014 | 8 | |
| 7 | 2020 | 4 | |
| 8 | 2006 | 3 | |
| 9 | Perception of the Place of Articulation Feature for Plosives and Fricatives in Noise | 2003 | 2 |
About Willa Chen
Willa Chen is a scholar working on Computer Vision and Pattern Recognition, Geriatrics and Gerontology, Ocean Engineering, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 9 papers that have together received 232 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Data Visualization and Analytics (2 papers), Evacuation and Crowd Dynamics (2 papers), Hearing Loss and Rehabilitation (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Diabetes Management and Research (1 paper) and Sirtuins and Resveratrol in Medicine (1 paper). The work is most often cited by research in Geriatrics and Gerontology (46 citations), Biological Psychiatry (11 citations), Physiology (11 citations), Linguistics and Language (9 citations) and Aging (3 citations). Willa Chen has collaborated with scholars based in United States and China. Frequent co-authors include Agnieszka Czopik, Qing Xu, Mallikarjuna R. Metukuri, David C. Fargo, Xiaoling Li, Nevzat Kazgan, Michael T. Shanahan, M. Andrea Azcárate-Peril, Leonard Guarente and Ajay Gulati. Their work appears in journals such as Gastroenterology, Speech Communication, Radiology, The Journal of the American Board of Family Medicine and Econometric Theory.
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.