Erwin J. Tan
Impact in
-
- Aging and Gerontology Research
- Health top 2%
- Health disparities and outcomes
Papers in
- Health 12
- Health disparities and outcomes 12
- Co-authors
- Michelle C. Carlson (12 shared papers)Linda P. Fried (12 shared papers)Vijay R. Varma (5 shared papers)Qian‐Li Xue (8 shared papers)George W. Rebok (11 shared papers)Yi‐Fang Chuang (1 shared paper)Tao Li (1 shared paper)Teresa E. Seeman (9 shared papers)
- Journals
- The Gerontologist (3 papers)Journal of the American Geriatrics Society (2 papers)Journal of Urban Health (2 papers)Prevention Science (2 papers)Contemporary Clinical Trials (1 paper)
- Partner nations
- United StatesTaiwanItaly
In The Last Decade
Erwin J. Tan
22 papers receiving 709 citations
Peers
Comparison fields: 5 of 105
- Neuropsychology and Physiological Psychology 162
- Health 291
- Applied Psychology 63
- Geriatrics and Gerontology 34
- General Health Professions 187
Countries citing papers authored by Erwin J. Tan
This map shows the geographic impact of Erwin J. Tan'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 Erwin J. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erwin J. Tan more than expected).
Fields of papers citing papers by Erwin J. Tan
This network shows the impact of papers produced by Erwin J. Tan. 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 Erwin J. Tan. The network helps show where Erwin J. Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Erwin J. Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 130 | |
| 2 | 2006 | 120 | |
| 3 | 2013 | 79 | |
| 4 | 2015 | 67 | |
| 5 | 2009 | 51 | |
| 6 | 2013 | 51 | |
| 7 | 2019 | 35 | |
| 8 | 2010 | 35 | |
| 9 | 2009 | 31 | |
| 10 | 2017 | 29 | |
| 11 | 2011 | 21 | |
| 12 | 2003 | 21 | |
| 13 | 2011 | 18 | |
| 14 | 2012 | 12 | |
| 15 | 2016 | 10 | |
| 16 | 2012 | 9 | |
| 17 | 2015 | 7 | |
| 18 | 2019 | 5 | |
| 19 | 2019 | 3 | |
| 20 | 2015 | 2 |
About Erwin J. Tan
Erwin J. Tan is a scholar working on Health, General Health Professions, Public Health, Environmental and Occupational Health, Neuropsychology and Physiological Psychology and Physiology, having authored 22 papers that have together received 740 indexed citations. Recurring topics across this work include Health disparities and outcomes (12 papers), Obesity, Physical Activity, Diet (4 papers), Aging and Gerontology Research (4 papers), Retirement, Disability, and Employment (3 papers), Physical Activity and Health (3 papers), Youth Development and Social Support (3 papers), Early Childhood Education and Development (2 papers) and Balance, Gait, and Falls Prevention (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (162 citations), Health (291 citations), Applied Psychology (63 citations), Geriatrics and Gerontology (34 citations) and General Health Professions (187 citations). Erwin J. Tan has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Michelle C. Carlson, Linda P. Fried, Vijay R. Varma, Qian‐Li Xue, George W. Rebok, Yi‐Fang Chuang, Tao Li, Teresa E. Seeman, Elizabeth K. Tanner and Sylvia McGill. Their work appears in journals such as The Gerontologist, Journal of the American Geriatrics Society, Journal of Urban Health, Prevention Science and Contemporary Clinical Trials.
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.