Michael McNett
Impact in
- Psychiatry and Mental health top 5%
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Pharmacology top 5%
- Musculoskeletal pain and rehabilitation
Papers in
-
- Fibromyalgia and Chronic Fatigue Syndrome Research 8
-
- Musculoskeletal pain and rehabilitation 7
- Co-authors
- Arthi Chandran (8 shared papers)Gergana Zlateva (6 shared papers)Caroline Schaefer (6 shared papers)Rebecca Baik (4 shared papers)Don L. Goldenberg (4 shared papers)Meghan Hufstader (3 shared papers)Robert D. Gerwin (2 shared papers)Stuart L. Silverman (3 shared papers)
- Journals
- Journal of Pain (2 papers)Health and Quality of Life Outcomes (1 paper)Current Medical Research and Opinion (1 paper)Pain Practice (1 paper)Journal of Evaluation in Clinical Practice (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Michael McNett
7 papers receiving 309 citations
Peers
Comparison fields: 5 of 50
- Psychiatry and Mental health 278
- Pharmacology 230
- Occupational Therapy 24
- General Health Professions 77
- Cell Biology 32
Countries citing papers authored by Michael McNett
This map shows the geographic impact of Michael McNett'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 Michael McNett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael McNett more than expected).
Fields of papers citing papers by Michael McNett
This network shows the impact of papers produced by Michael McNett. 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 Michael McNett. The network helps show where Michael McNett may publish in the future.
Co-authors
The 21 scholars most cited alongside Michael McNett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 117 | |
| 2 | 2015 | 77 | |
| 3 | 2012 | 63 | |
| 4 | 2011 | 26 | |
| 5 | 2011 | 20 | |
| 6 | 2011 | 15 | |
| 7 | 2010 | 2 | |
| 8 | 2010 | 0 |
About Michael McNett
Michael McNett is a scholar working on Psychiatry and Mental health, Pharmacology, General Health Professions, Economics and Econometrics and Occupational Therapy, having authored 8 papers that have together received 320 indexed citations. Recurring topics across this work include Fibromyalgia and Chronic Fatigue Syndrome Research (8 papers), Musculoskeletal pain and rehabilitation (7 papers), Workplace Health and Well-being (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Health, psychology, and well-being (2 papers) and Occupational Health and Performance (1 paper). The work is most often cited by research in Psychiatry and Mental health (278 citations), Pharmacology (230 citations), Occupational Therapy (24 citations), General Health Professions (77 citations) and Cell Biology (32 citations). Michael McNett has collaborated with scholars based in United States and Spain. Frequent co-authors include Arthi Chandran, Gergana Zlateva, Caroline Schaefer, Rebecca Baik, Don L. Goldenberg, Meghan Hufstader, Robert D. Gerwin, Stuart L. Silverman, Kellie Ryan and Nandini Hadker. Their work appears in journals such as Journal of Pain, Health and Quality of Life Outcomes, Current Medical Research and Opinion, Pain Practice and Journal of Evaluation in Clinical Practice.
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.