Marty Bigos
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 10%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Single-cell and spatial transcriptomics 1
-
- Alzheimer's disease research and treatments 1
- Co-authors
- Synthia H. Mellon (1 shared paper)Owen M. Wolkowitz (1 shared paper)Elizabeth H. Blackburn (1 shared paper)Elissa S. Epel (1 shared paper)Jue Lin (1 shared paper)Candyce H. Kroenke (1 shared paper)Elizabeth Sinclair (1 shared paper)Handuo Shi (1 shared paper)
- Journals
- Current Biology (1 paper)Circulation Research (1 paper)Vaccine (1 paper)The American Journal of Cardiology (1 paper)Journal of Immunological Methods (1 paper)
- Partner nations
- United StatesSlovakiaGermany
In The Last Decade
Marty Bigos
9 papers receiving 639 citations
Marty Bigos's Hit Papers
Peers
Comparison fields: 5 of 94
- Aging 102
- Physiology 272
- Biological Psychiatry 17
- Endocrine and Autonomic Systems 45
- Geriatrics and Gerontology 22
Countries citing papers authored by Marty Bigos
This map shows the geographic impact of Marty Bigos'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 Marty Bigos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marty Bigos more than expected).
Fields of papers citing papers by Marty Bigos
This network shows the impact of papers produced by Marty Bigos. 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 Marty Bigos. The network helps show where Marty Bigos may publish in the future.
Co-authors
The 25 scholars most cited alongside Marty Bigos, 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 | Analyses and comparisons of telomerase activity and telomere length in human T and B cells: Insights for epidemiology of telomere maintenance Hit paper breakdown → | 2009 | 350 |
| 2 | 2013 | 113 | |
| 3 | 2011 | 54 | |
| 4 | 2011 | 53 | |
| 5 | 2017 | 53 | |
| 6 | 2004 | 12 | |
| 7 | 2014 | 7 | |
| 8 | 2016 | 2 | |
| 9 | 2007 | 1 |
About Marty Bigos
Marty Bigos is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Cancer Research and Infectious Diseases, having authored 9 papers that have together received 645 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Single-cell and spatial transcriptomics (1 paper), Alzheimer's disease research and treatments (1 paper), Computational Drug Discovery Methods (1 paper), Cancer, Lipids, and Metabolism (1 paper), Antifungal resistance and susceptibility (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Aging (102 citations), Physiology (272 citations), Biological Psychiatry (17 citations), Endocrine and Autonomic Systems (45 citations) and Geriatrics and Gerontology (22 citations). Marty Bigos has collaborated with scholars based in United States, Slovakia and Germany. Frequent co-authors include Synthia H. Mellon, Owen M. Wolkowitz, Elizabeth H. Blackburn, Elissa S. Epel, Jue Lin, Candyce H. Kroenke, Elizabeth Sinclair, Handuo Shi, Karl V. Clemons and Elmer Brummer. Their work appears in journals such as Current Biology, Circulation Research, Vaccine, The American Journal of Cardiology and Journal of Immunological Methods.
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.