Michael Lee
- Cognitive Neuroscience top 1%
- Pain Management and Placebo Effect 18
- Physiology top 1%
- Pain Mechanisms and Treatments 25
- Psychiatry and Mental health top 1%
- Pharmacology top 1%
- Musculoskeletal pain and rehabilitation 11
- Neurology top 2%
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- Genetic Mapping and Diversity in Plants and Animals 19
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- Genetics and Plant Breeding 17
- Wheat and Barley Genetics and Pathology 7
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- Advanced MRI Techniques and Applications 7
- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Irene TraceyGian Domenico IannettiAndré MourauxUlrike BingelKatja WiechMarkus PlonerLance R. VeldboomVishvarani Wanigasekera
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Michael Lee
157 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Cognitive Neuroscience 2.1k
- Physiology 1.5k
- Psychiatry and Mental health 813
- Pharmacology 820
- Neurology 383
Countries citing papers authored by Michael Lee
This map shows the geographic impact of Michael Lee'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 Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lee more than expected).
Fields of papers citing papers by Michael Lee
This network shows the impact of papers produced by Michael Lee. 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 Lee. The network helps show where Michael Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Lee, 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 | 2023 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 9 | |
| 4 | 2022 | 13 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 33 | |
| 9 | 2020 | 7 | |
| 10 | 2019 | 6 | |
| 11 | 2019 | 44 | |
| 12 | 2019 | 3 | |
| 13 | 2013 | 39 | |
| 14 | 2011 | 8 | |
| 15 | 2011 | 50 | |
| 16 | 2009 | 238 | |
| 17 | 2007 | 62 | |
| 18 | 2006 | 48 | |
| 19 | 2004 | 29 | |
| 20 | 2000 | 18 |
About Michael Lee
Michael Lee is a scholar working on Anesthesiology and Pain Medicine, Cognitive Neuroscience and Pharmacology, having authored 162 papers that have together received 7.4k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (25 papers), Genetic Mapping and Diversity in Plants and Animals (19 papers), Pain Management and Placebo Effect (18 papers), Genetics and Plant Breeding (17 papers), Musculoskeletal pain and rehabilitation (11 papers), Advanced MRI Techniques and Applications (7 papers), Wheat and Barley Genetics and Pathology (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Cognitive Neuroscience (2.1k citations), Physiology (1.5k citations) and Psychiatry and Mental health (813 citations). Michael Lee has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Irene Tracey, Gian Domenico Iannetti, André Mouraux, Ulrike Bingel, Katja Wiech, Markus Ploner, Lance R. Veldboom, Vishvarani Wanigasekera, David F. Austin and Richard G. Wise. Their work appears in journals such as Pain, Journal of Neuroscience, The Journal of Urology, Crop Science and Urology.
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.