Qi Mi
Impact in
- Occupational Therapy top 1%
- Occupational Health and Performance
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
Papers in
-
- Occupational Health and Performance 11
- Pressure Ulcer Prevention and Management 4
- Co-authors
- Yoram Vodovotz (42 shared papers)Gary An (8 shared papers)Joyeeta Dutta‐Moscato (8 shared papers)Rubén Zamora (21 shared papers)Timothy R. Billiar (16 shared papers)Rami A. Namas (12 shared papers)Gilles Clermont (4 shared papers)Cordelia Ziraldo (13 shared papers)
- Journals
- Journal of Critical Care (7 papers)Frontiers in Physiology (4 papers)PLoS ONE (4 papers)Journal of science and medicine in sport (3 papers)PLoS Computational Biology (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Qi Mi
79 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 153
- Occupational Therapy 137
- Modeling and Simulation 142
- Rehabilitation 143
- Immunology 394
- Critical Care and Intensive Care Medicine 66
Countries citing papers authored by Qi Mi
This map shows the geographic impact of Qi Mi'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 Qi Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Mi more than expected).
Fields of papers citing papers by Qi Mi
This network shows the impact of papers produced by Qi Mi. 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 Qi Mi. The network helps show where Qi Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Mi, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 246 | |
| 2 | 2007 | 140 | |
| 3 | 2014 | 111 | |
| 4 | 2011 | 99 | |
| 5 | 2008 | 99 | |
| 6 | 2020 | 98 | |
| 7 | 2011 | 90 | |
| 8 | 2013 | 80 | |
| 9 | 2015 | 66 | |
| 10 | 2016 | 64 | |
| 11 | 2010 | 63 | |
| 12 | 2012 | 60 | |
| 13 | 2020 | 54 | |
| 14 | 2010 | 52 | |
| 15 | 2016 | 50 | |
| 16 | 2014 | 48 | |
| 17 | 2014 | 48 | |
| 18 | 2012 | 45 | |
| 19 | 2016 | 38 | |
| 20 | 2016 | 36 |
About Qi Mi
Qi Mi is a scholar working on Molecular Biology, Occupational Therapy, Immunology, Epidemiology and Orthopedics and Sports Medicine, having authored 82 papers that have together received 2.3k indexed citations. Recurring topics across this work include Occupational Health and Performance (11 papers), Immune Response and Inflammation (10 papers), Sepsis Diagnosis and Treatment (8 papers), Immune cells in cancer (5 papers), Balance, Gait, and Falls Prevention (4 papers), Pressure Ulcer Prevention and Management (4 papers), Sports Performance and Training (4 papers) and Diabetic Foot Ulcer Assessment and Management (4 papers). The work is most often cited by research in Occupational Therapy (137 citations), Modeling and Simulation (142 citations), Rehabilitation (143 citations), Immunology (394 citations) and Critical Care and Intensive Care Medicine (66 citations). Qi Mi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yoram Vodovotz, Gary An, Joyeeta Dutta‐Moscato, Rubén Zamora, Timothy R. Billiar, Rami A. Namas, Gilles Clermont, Cordelia Ziraldo, Derek Barclay and Rajaie Namas. Their work appears in journals such as Journal of Critical Care, Frontiers in Physiology, PLoS ONE, Journal of science and medicine in sport and PLoS Computational Biology.
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.