Mark Thomas
- Aging top 2%
- Molecular Biology top 2%
- Muscle Physiology and Disorders 21
- CRISPR and Genetic Engineering 6
- RNA Research and Splicing 4
- Cell Biology top 1%
- Physiology top 2%
- Adipose Tissue and Metabolism 4
- Genetics top 2%
- Mesenchymal stem cell research 4
- Neurogenetic and Muscular Disorders Research 4
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- Cardiomyopathy and Myosin Studies 5
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- GDF15 and Related Biomarkers 4
- Co-authors
- Ravi KambadurMridula SharmaBrett LangleySeumas McCroskeryAmy BishopLinda MaxwellVivek IyerAlex Hennebry
- Cited by
- AgingMolecular BiologyCell Biology
- Journals
- Journal of Cellular Physiology (5 papers)Experimental Cell Research (3 papers)PLoS Genetics (2 papers)
- Partner nations
- New ZealandUnited KingdomSingapore
In The Last Decade
Mark Thomas
35 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Aging 140
- Molecular Biology 3.5k
- Cell Biology 806
- Physiology 962
- Genetics 380
Countries citing papers authored by Mark Thomas
This map shows the geographic impact of Mark Thomas'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 Mark Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Thomas more than expected).
Fields of papers citing papers by Mark Thomas
This network shows the impact of papers produced by Mark Thomas. 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 Mark Thomas. The network helps show where Mark Thomas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Thomas, 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 | 2024 | 1 | |
| 2 | 2019 | 26 | |
| 3 | 2019 | 12 | |
| 4 | 2018 | 87 | |
| 5 | 2014 | 41 | |
| 6 | 2013 | 5 | |
| 7 | 2012 | 14 | |
| 8 | A conditional knockout resource for the genome-wide study of mouse gene functionbreakdown → | 2011 | 1208 |
| 9 | 2009 | 40 | |
| 10 | 2008 | 70 | |
| 11 | 2007 | 98 | |
| 12 | 2007 | 118 | |
| 13 | 2006 | 370 | |
| 14 | 2005 | 16 | |
| 15 | 2005 | 46 | |
| 16 | 2004 | 39 | |
| 17 | 2004 | 57 | |
| 18 | 2002 | 136 | |
| 19 | 2002 | 86 | |
| 20 | 2002 | 51 |
About Mark Thomas
Mark Thomas is a scholar working on Aging, Business and International Management and Genetics, having authored 38 papers that have together received 4.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (21 papers), CRISPR and Genetic Engineering (6 papers), Cardiomyopathy and Myosin Studies (5 papers), Mesenchymal stem cell research (4 papers), Neurogenetic and Muscular Disorders Research (4 papers), GDF15 and Related Biomarkers (4 papers), Adipose Tissue and Metabolism (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Aging (140 citations), Molecular Biology (3.5k citations) and Cell Biology (806 citations). Mark Thomas has collaborated with scholars based in New Zealand, United Kingdom and Singapore. Frequent co-authors include Ravi Kambadur, Mridula Sharma, Brett Langley, Seumas McCroskery, Amy Bishop, Linda Maxwell, Vivek Iyer, Alex Hennebry, Jennifer Harrow and Allan Bradley. Their work appears in journals such as Journal of Cellular Physiology, Experimental Cell Research, PLoS Genetics, Advanced Healthcare Materials and American Journal of Physiology-Cell Physiology.
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.