Tom Michoel
Impact in
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 5%
Papers in
-
- Bioinformatics and Genomic Networks 19
- Gene expression and cancer classification 13
- Gene Regulatory Network Analysis 13
- RNA Research and Splicing 7
- Genomics and Chromatin Dynamics 6
- Genetics 13
- Genetic Associations and Epidemiology 10
- Co-authors
- Tom C. Freeman (2 shared papers)Kathleen Grabert (1 shared paper)John Kenneth Baillie (1 shared paper)KIM M. SUMMERS (1 shared paper)Michail H. Karavolos (1 shared paper)Barry W. McColl (1 shared paper)Sara Clohisey Hendry (1 shared paper)Mark P. Stevens (1 shared paper)
- Journals
- Bioinformatics (6 papers)PLoS ONE (4 papers)Scientific Reports (4 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)PLoS Genetics (2 papers)
- Partner nations
- United KingdomBelgiumUnited States
In The Last Decade
Tom Michoel
76 papers receiving 2.9k citations
Tom Michoel's Hit Papers
Peers
Comparison fields: 5 of 146
- Neurology 788
- Biological Psychiatry 123
- Developmental Neuroscience 137
- Immunology 535
- Behavioral Neuroscience 69
Countries citing papers authored by Tom Michoel
This map shows the geographic impact of Tom Michoel'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 Tom Michoel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Michoel more than expected).
Fields of papers citing papers by Tom Michoel
This network shows the impact of papers produced by Tom Michoel. 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 Tom Michoel. The network helps show where Tom Michoel may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Michoel, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Microglial brain region−dependent diversity and selective regional sensitivities to aging Hit paper breakdown → | 2016 | 942 |
| 2 | 2016 | 221 | |
| 3 | 2016 | 116 | |
| 4 | 2015 | 87 | |
| 5 | 2022 | 82 | |
| 6 | 2022 | 67 | |
| 7 | 2009 | 65 | |
| 8 | 2014 | 57 | |
| 9 | 2012 | 56 | |
| 10 | 2015 | 55 | |
| 11 | 2009 | 53 | |
| 12 | 2021 | 53 | |
| 13 | 2007 | 47 | |
| 14 | 2010 | 46 | |
| 15 | 2013 | 43 | |
| 16 | 2016 | 43 | |
| 17 | 2019 | 42 | |
| 18 | 2019 | 41 | |
| 19 | 2018 | 41 | |
| 20 | 2024 | 38 |
About Tom Michoel
Tom Michoel is a scholar working on Molecular Biology, Genetics, Statistical and Nonlinear Physics, Statistics and Probability and Atomic and Molecular Physics, and Optics, having authored 79 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (19 papers), Gene expression and cancer classification (13 papers), Gene Regulatory Network Analysis (13 papers), Genetic Associations and Epidemiology (10 papers), RNA Research and Splicing (7 papers), Genomics and Chromatin Dynamics (6 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Neurology (788 citations), Biological Psychiatry (123 citations), Developmental Neuroscience (137 citations), Immunology (535 citations) and Behavioral Neuroscience (69 citations). Tom Michoel has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Tom C. Freeman, Kathleen Grabert, John Kenneth Baillie, KIM M. SUMMERS, Michail H. Karavolos, Barry W. McColl, Sara Clohisey Hendry, Mark P. Stevens, Anagha Joshi and Yves Van de Peer. Their work appears in journals such as Bioinformatics, PLoS ONE, Scientific Reports, Arteriosclerosis Thrombosis and Vascular Biology and PLoS Genetics.
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.