Michael Traurig
Impact in
- Geriatrics and Gerontology top 10%
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 3
- Genetics 12
- Genetic Associations and Epidemiology 6
- Co-authors
- Leslie J. Baier (30 shared papers)Clifton Bogardus (25 shared papers)Robert L. Hanson (22 shared papers)Sayuko Kobes (19 shared papers)William C. Knowler (14 shared papers)Victoria Ossowski (3 shared papers)Michelle Mullins (1 shared paper)Jodie M. Fleming (1 shared paper)
- Journals
- Diabetes (10 papers)Obesity (6 papers)Diabetologia (3 papers)International Journal of Obesity (2 papers)Human Genetics (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Michael Traurig
31 papers receiving 793 citations
Peers
Comparison fields: 5 of 87
- Geriatrics and Gerontology 45
- Cancer Research 169
- Genetics 272
- Physiology 186
- Endocrinology, Diabetes and Metabolism 110
Countries citing papers authored by Michael Traurig
This map shows the geographic impact of Michael Traurig'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 Traurig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Traurig more than expected).
Fields of papers citing papers by Michael Traurig
This network shows the impact of papers produced by Michael Traurig. 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 Traurig. The network helps show where Michael Traurig may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Traurig, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 157 | |
| 2 | 2007 | 74 | |
| 3 | 2017 | 62 | |
| 4 | 2011 | 56 | |
| 5 | 2013 | 51 | |
| 6 | 2015 | 45 | |
| 7 | 2009 | 36 | |
| 8 | 2006 | 31 | |
| 9 | 2006 | 31 | |
| 10 | 2010 | 30 | |
| 11 | 2013 | 26 | |
| 12 | 1999 | 25 | |
| 13 | 2013 | 22 | |
| 14 | 2012 | 21 | |
| 15 | 2015 | 20 | |
| 16 | 2013 | 20 | |
| 17 | 2007 | 18 | |
| 18 | 2010 | 18 | |
| 19 | 2010 | 14 | |
| 20 | 2000 | 13 |
About Michael Traurig
Michael Traurig is a scholar working on Molecular Biology, Genetics, Surgery, Cell Biology and Physiology, having authored 31 papers that have together received 808 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Genetic Associations and Epidemiology (6 papers), RNA modifications and cancer (5 papers), Adipose Tissue and Metabolism (4 papers), Regulation of Appetite and Obesity (4 papers), MicroRNA in disease regulation (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Geriatrics and Gerontology (45 citations), Cancer Research (169 citations), Genetics (272 citations), Physiology (186 citations) and Endocrinology, Diabetes and Metabolism (110 citations). Michael Traurig has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Leslie J. Baier, Clifton Bogardus, Robert L. Hanson, Sayuko Kobes, William C. Knowler, Victoria Ossowski, Michelle Mullins, Jodie M. Fleming, Ari Meerson and Yunhua L. Muller. Their work appears in journals such as Diabetes, Obesity, Diabetologia, International Journal of Obesity and Human 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.