Evan Tang
Impact in
- Nephrology top 10%
- Dialysis and Renal Disease Management
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- Renal Transplantation Outcomes and Treatments
Papers in
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- Dialysis and Renal Disease Management 5
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- Chronic Disease Management Strategies 2
- Nonmelanoma Skin Cancer Studies 2
- Co-authors
- István Mucsi (14 shared papers)Márta Novák (11 shared papers)John Devin Peipert (4 shared papers)Frances Chung (4 shared papers)Madeline Li (5 shared papers)David He (3 shared papers)Candice Richardson (3 shared papers)Nina Butris (3 shared papers)
- Journals
- Transplantation (3 papers)Journal of Psychosomatic Research (2 papers)Clinical Transplantation (2 papers)Quality of Life Research (2 papers)American Journal of Kidney Diseases (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Evan Tang
22 papers receiving 303 citations
Peers
Comparison fields: 5 of 64
- Nephrology 54
- Transplantation 11
- Critical Care and Intensive Care Medicine 10
- Physiology 7
- Psychiatry and Mental health 20
Countries citing papers authored by Evan Tang
This map shows the geographic impact of Evan Tang'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 Evan Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Tang more than expected).
Fields of papers citing papers by Evan Tang
This network shows the impact of papers produced by Evan Tang. 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 Evan Tang. The network helps show where Evan Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Evan Tang, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 64 | |
| 2 | 2023 | 60 | |
| 3 | 2018 | 43 | |
| 4 | 2017 | 23 | |
| 5 | 2021 | 21 | |
| 6 | 2017 | 19 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 10 | |
| 10 | 2023 | 7 | |
| 11 | 2018 | 6 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2018 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2018 | 1 |
About Evan Tang
Evan Tang is a scholar working on Nephrology, Epidemiology, Public Health, Environmental and Occupational Health, Critical Care and Intensive Care Medicine and Physiology, having authored 28 papers that have together received 307 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (5 papers), Obstructive Sleep Apnea Research (3 papers), Family Caregiving in Mental Illness (2 papers), Chronic Disease Management Strategies (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Ultrasound in Clinical Applications (2 papers) and Nonmelanoma Skin Cancer Studies (2 papers). The work is most often cited by research in Nephrology (54 citations), Transplantation (11 citations), Critical Care and Intensive Care Medicine (10 citations), Physiology (7 citations) and Psychiatry and Mental health (20 citations). Evan Tang has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include István Mucsi, Márta Novák, John Devin Peipert, Frances Chung, Madeline Li, David He, Candice Richardson, Nina Butris, Aparna Saripella and Mahesh Nagappa. Their work appears in journals such as Transplantation, Journal of Psychosomatic Research, Clinical Transplantation, Quality of Life Research and American Journal of Kidney Diseases.
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.