Fei Wan
Impact in
- Applied Psychology top 2%
- Behavioral Health and Interventions
- General Decision Sciences top 5%
Papers in
- Oncology 19
- CAR-T cell therapy research 5
-
- Advanced Causal Inference Techniques 13
- Statistical Methods and Inference 9
- Statistical Methods and Bayesian Inference 6
- Co-authors
- Nandita Mitra (14 shared papers)David A. Asch (4 shared papers)Henry A. Glick (1 shared paper)Robert Galvin (1 shared paper)Janet Audrain‐McGovern (1 shared paper)Janet Weiner (1 shared paper)Elizabeth L. Corbett (1 shared paper)Mark V. Pauly (1 shared paper)
- Journals
- Blood (8 papers)Statistics in Medicine (5 papers)BMC Medical Research Methodology (3 papers)Biology of Blood and Marrow Transplantation (3 papers)Journal of Surgical Oncology (2 papers)
- Partner nations
- United StatesChinaColombia
In The Last Decade
Fei Wan
79 papers receiving 2.2k citations
Fei Wan's Hit Papers
Peers
Comparison fields: 5 of 149
- Applied Psychology 203
- General Decision Sciences 46
- Health 200
- General Health Professions 484
- Family Practice 42
Countries citing papers authored by Fei Wan
This map shows the geographic impact of Fei Wan'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 Fei Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Wan more than expected).
Fields of papers citing papers by Fei Wan
This network shows the impact of papers produced by Fei Wan. 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 Fei Wan. The network helps show where Fei Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Wan, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Randomized, Controlled Trial of Financial Incentives for Smoking Cessation Hit paper breakdown → | 2009 | 602 |
| 2 | 2006 | 211 | |
| 3 | 2013 | 133 | |
| 4 | 2013 | 121 | |
| 5 | 2009 | 117 | |
| 6 | 2011 | 83 | |
| 7 | 2010 | 65 | |
| 8 | 2010 | 60 | |
| 9 | 2007 | 59 | |
| 10 | 2013 | 58 | |
| 11 | 2015 | 51 | |
| 12 | 2024 | 43 | |
| 13 | 2021 | 43 | |
| 14 | 2015 | 41 | |
| 15 | 2020 | 36 | |
| 16 | 2018 | 36 | |
| 17 | 2013 | 35 | |
| 18 | 2015 | 31 | |
| 19 | 2016 | 30 | |
| 20 | 2018 | 28 |
About Fei Wan
Fei Wan is a scholar working on Oncology, Statistics and Probability, General Health Professions, Surgery and Pulmonary and Respiratory Medicine, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (13 papers), Statistical Methods and Inference (9 papers), Lymphoma Diagnosis and Treatment (8 papers), Health Literacy and Information Accessibility (6 papers), Statistical Methods and Bayesian Inference (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), CAR-T cell therapy research (5 papers) and Mobile Health and mHealth Applications (5 papers). The work is most often cited by research in Applied Psychology (203 citations), General Decision Sciences (46 citations), Health (200 citations), General Health Professions (484 citations) and Family Practice (42 citations). Fei Wan has collaborated with scholars based in United States, China and Colombia. Frequent co-authors include Nandita Mitra, David A. Asch, Henry A. Glick, Robert Galvin, Janet Audrain‐McGovern, Janet Weiner, Elizabeth L. Corbett, Mark V. Pauly, Kevin G. Volpp and Jingsan Zhu. Their work appears in journals such as Blood, Statistics in Medicine, BMC Medical Research Methodology, Biology of Blood and Marrow Transplantation and Journal of Surgical Oncology.
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.