Michael Lees
Impact in
- Equine top 2%
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- DNA Repair Mechanisms 4
- Epigenetics and DNA Methylation 4
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- Advanced Control Systems Optimization 7
- Fault Detection and Control Systems 4
- Co-authors
- Murray L. Whitelaw (4 shared papers)Anders H. Lund (3 shared papers)Lisa B. Frankel (2 shared papers)Marja Jäättelä (2 shared papers)Anders Krogh (1 shared paper)Maria Høyer-Hansen (1 shared paper)Jiayu Wen (1 shared paper)Thomas Farkas (1 shared paper)
In The Last Decade
Michael Lees
51 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 140
- Equine 77
- Cancer Research 626
- Anesthesiology and Pain Medicine 99
- Molecular Biology 1.2k
- Cell Biology 151
Countries citing papers authored by Michael Lees
This map shows the geographic impact of Michael Lees'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 Lees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lees more than expected).
Fields of papers citing papers by Michael Lees
This network shows the impact of papers produced by Michael Lees. 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 Lees. The network helps show where Michael Lees may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Lees, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 295 | |
| 2 | 2009 | 285 | |
| 3 | 2010 | 138 | |
| 4 | 2013 | 114 | |
| 5 | 2002 | 108 | |
| 6 | 1994 | 85 | |
| 7 | 1999 | 80 | |
| 8 | 2003 | 70 | |
| 9 | 2012 | 68 | |
| 10 | 2007 | 67 | |
| 11 | 2012 | 63 | |
| 12 | 2014 | 60 | |
| 13 | 2015 | 60 | |
| 14 | 2011 | 56 | |
| 15 | 2011 | 50 | |
| 16 | 2000 | 48 | |
| 17 | 1990 | 40 | |
| 18 | 2002 | 31 | |
| 19 | 2012 | 29 | |
| 20 | 2012 | 29 |
About Michael Lees
Michael Lees is a scholar working on Molecular Biology, Control and Systems Engineering, Cancer Research, Industrial and Manufacturing Engineering and Surgery, having authored 55 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (7 papers), Fault Detection and Control Systems (4 papers), Digital Transformation in Industry (4 papers), DNA Repair Mechanisms (4 papers), MicroRNA in disease regulation (4 papers), Epigenetics and DNA Methylation (4 papers), Toxic Organic Pollutants Impact (3 papers) and Manufacturing Process and Optimization (3 papers). The work is most often cited by research in Equine (77 citations), Cancer Research (626 citations), Anesthesiology and Pain Medicine (99 citations), Molecular Biology (1.2k citations) and Cell Biology (151 citations). Michael Lees has collaborated with scholars based in Australia, Denmark and Germany. Frequent co-authors include Murray L. Whitelaw, Anders H. Lund, Lisa B. Frankel, Marja Jäättelä, Anders Krogh, Maria Høyer-Hansen, Jiayu Wen, Thomas Farkas, Nanna R. Christoffersen and Mikkel Klausen. Their work appears in journals such as Equine Veterinary Journal, PLoS ONE, International Journal of Production Research, The Journal of Cell Biology and FEBS Letters.
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.