Mitchell Martin
Impact in
Papers in
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- Gene expression and cancer classification 2
- Metabolism, Diabetes, and Cancer 2
- RNA Interference and Gene Delivery 2
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- Adipose Tissue and Metabolism 3
- Co-authors
- Gary A. Churchill (1 shared paper)Kathleen F. Kerr (1 shared paper)Søren Germer (9 shared papers)W. Venus So (4 shared papers)Robert Y.L. Zee (4 shared papers)Pietro Maffei (2 shared papers)Jan D. Marshall (2 shared papers)Jürgen Κ. Naggert (2 shared papers)
- Journals
- Translational research (2 papers)Diabetes Research and Clinical Practice (1 paper)American Journal of Physiology-Endocrinology and Metabolism (1 paper)BMJ Open (1 paper)Pharmacogenetics and Genomics (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Mitchell Martin
19 papers receiving 2.0k citations
Mitchell Martin's Hit Papers
Peers
Comparison fields: 5 of 122
- Aging 35
- Genetics 541
- Molecular Biology 1.1k
- Endocrine and Autonomic Systems 72
- Physiology 240
Countries citing papers authored by Mitchell Martin
This map shows the geographic impact of Mitchell Martin'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 Mitchell Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Martin more than expected).
Fields of papers citing papers by Mitchell Martin
This network shows the impact of papers produced by Mitchell Martin. 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 Mitchell Martin. The network helps show where Mitchell Martin may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitchell Martin, 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 | Analysis of Variance for Gene Expression Microarray Data Hit paper breakdown → | 2000 | 1056 |
| 2 | 2002 | 319 | |
| 3 | 2009 | 144 | |
| 4 | 2007 | 119 | |
| 5 | 2009 | 68 | |
| 6 | 2007 | 63 | |
| 7 | 2010 | 63 | |
| 8 | 2013 | 51 | |
| 9 | 2008 | 49 | |
| 10 | 2007 | 31 | |
| 11 | 2012 | 29 | |
| 12 | 2011 | 19 | |
| 13 | 2010 | 15 | |
| 14 | 2010 | 11 | |
| 15 | 2010 | 10 | |
| 16 | 2009 | 8 | |
| 17 | Management handling of sexual orientation, religion and belief in the workplace | 2009 | 5 |
| 18 | 2007 | 4 | |
| 19 | 2007 | 3 |
About Mitchell Martin
Mitchell Martin is a scholar working on Molecular Biology, Physiology, Genetics, Cell Biology and Surgery, having authored 19 papers that have together received 2.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (3 papers), Gene expression and cancer classification (2 papers), Metabolism, Diabetes, and Cancer (2 papers), RNA Interference and Gene Delivery (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Genetic Syndromes and Imprinting (2 papers), Muscle metabolism and nutrition (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Aging (35 citations), Genetics (541 citations), Molecular Biology (1.1k citations), Endocrine and Autonomic Systems (72 citations) and Physiology (240 citations). Mitchell Martin has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Gary A. Churchill, Kathleen F. Kerr, Søren Germer, W. Venus So, Robert Y.L. Zee, Pietro Maffei, Jan D. Marshall, Jürgen Κ. Naggert, Gayle B. Collin and Patsy M. Nishina. Their work appears in journals such as Translational research, Diabetes Research and Clinical Practice, American Journal of Physiology-Endocrinology and Metabolism, BMJ Open and Pharmacogenetics and Genomics.
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.