Feng Sha
Impact in
- Nephrology top 5%
- Dialysis and Renal Disease Management
- Health top 10%
- Health disparities and outcomes
Papers in
-
- Renal and related cancers 2
-
- Dialysis and Renal Disease Management 5
- Co-authors
- Paul Yip (8 shared papers)Qingsong Chang (2 shared papers)Yik Wa Law (5 shared papers)Chee Hon Chan (1 shared paper)T. Alp İkizler (13 shared papers)Bingyu Li (4 shared papers)Serpil Müge Değer (7 shared papers)Charles D. Ellis (5 shared papers)
- Journals
- Journal of Transport & Health (4 papers)Alzheimer s & Dementia (3 papers)EClinicalMedicine (3 papers)PLoS ONE (2 papers)Journal of Affective Disorders (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Feng Sha
46 papers receiving 786 citations
Peers
Comparison fields: 5 of 119
- Nephrology 96
- Health 64
- Transportation 53
- Neuropsychology and Physiological Psychology 9
- Physiology 107
Countries citing papers authored by Feng Sha
This map shows the geographic impact of Feng Sha'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 Feng Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Sha more than expected).
Fields of papers citing papers by Feng Sha
This network shows the impact of papers produced by Feng Sha. 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 Feng Sha. The network helps show where Feng Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Sha, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 126 | |
| 2 | 2016 | 61 | |
| 3 | 2017 | 60 | |
| 4 | 2015 | 52 | |
| 5 | 2016 | 48 | |
| 6 | 2016 | 40 | |
| 7 | 2018 | 34 | |
| 8 | 2019 | 32 | |
| 9 | 2018 | 29 | |
| 10 | 2017 | 26 | |
| 11 | 2018 | 26 | |
| 12 | 2024 | 22 | |
| 13 | 2019 | 21 | |
| 14 | 2012 | 19 | |
| 15 | 2016 | 18 | |
| 16 | 2020 | 18 | |
| 17 | 2023 | 16 | |
| 18 | 2019 | 16 | |
| 19 | 2021 | 16 | |
| 20 | 2021 | 12 |
About Feng Sha
Feng Sha is a scholar working on Molecular Biology, Nephrology, Transportation, Infectious Diseases and Health, having authored 50 papers that have together received 798 indexed citations. Recurring topics across this work include Urban Transport and Accessibility (5 papers), Dialysis and Renal Disease Management (5 papers), Suicide and Self-Harm Studies (4 papers), Health disparities and outcomes (4 papers), Psychological Well-being and Life Satisfaction (3 papers), COVID-19 epidemiological studies (3 papers), Urban, Neighborhood, and Segregation Studies (3 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Nephrology (96 citations), Health (64 citations), Transportation (53 citations), Neuropsychology and Physiological Psychology (9 citations) and Physiology (107 citations). Feng Sha has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Paul Yip, Qingsong Chang, Yik Wa Law, Chee Hon Chan, T. Alp İkizler, Bingyu Li, Serpil Müge Değer, Charles D. Ellis, Edward D. Siew and Thomas G. Stewart. Their work appears in journals such as Journal of Transport & Health, Alzheimer s & Dementia, EClinicalMedicine, PLoS ONE and Journal of Affective Disorders.
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.