Mark B. Roth
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Biochemistry top 0.5%
- Sulfur Compounds in Biology
Papers in
-
- RNA Research and Splicing 10
- RNA modifications and cancer 6
- RNA and protein synthesis mechanisms 6
- Aging 17
- Genetics, Aging, and Longevity in Model Organisms 17
- Co-authors
- Karla M. Neugebauer (5 shared papers)Alan M. Zahler (3 shared papers)Dana L. Miller (3 shared papers)Pamela A. Padilla (3 shared papers)Landon L. Moore (4 shared papers)Todd Nystul (4 shared papers)William S. Lane (1 shared paper)Mark W. Budde (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Molecular Biology of the Cell (4 papers)Molecular and Cellular Biology (3 papers)The Journal of Cell Biology (3 papers)Science (3 papers)
- Partner nations
- United StatesSouth AfricaAustria
In The Last Decade
Mark B. Roth
47 papers receiving 3.8k citations
Mark B. Roth's Hit Papers
Peers
Comparison fields: 5 of 133
- Aging 586
- Biochemistry 788
- Endocrine and Autonomic Systems 498
- Molecular Biology 2.0k
- Cell Biology 450
Countries citing papers authored by Mark B. Roth
This map shows the geographic impact of Mark B. Roth'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 B. Roth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark B. Roth more than expected).
Fields of papers citing papers by Mark B. Roth
This network shows the impact of papers produced by Mark B. Roth. 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 B. Roth. The network helps show where Mark B. Roth may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark B. Roth, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | H 2 S Induces a Suspended Animation-Like State in Mice Hit paper breakdown → | 2005 | 669 |
| 2 | 1993 | 352 | |
| 3 | 1999 | 224 | |
| 4 | 2007 | 207 | |
| 5 | 2007 | 189 | |
| 6 | 2001 | 176 | |
| 7 | 1995 | 167 | |
| 8 | 2002 | 125 | |
| 9 | 1993 | 102 | |
| 10 | 1997 | 100 | |
| 11 | 2001 | 94 | |
| 12 | 2009 | 83 | |
| 13 | 1997 | 82 | |
| 14 | 2003 | 78 | |
| 15 | 2000 | 78 | |
| 16 | 2002 | 77 | |
| 17 | 2002 | 76 | |
| 18 | 1998 | 76 | |
| 19 | 2004 | 75 | |
| 20 | 2008 | 73 |
About Mark B. Roth
Mark B. Roth is a scholar working on Molecular Biology, Aging, Endocrine and Autonomic Systems, Cell Biology and Physiology, having authored 47 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (17 papers), RNA Research and Splicing (10 papers), Microtubule and mitosis dynamics (7 papers), Circadian rhythm and melatonin (7 papers), RNA modifications and cancer (6 papers), RNA and protein synthesis mechanisms (6 papers), Physiological and biochemical adaptations (5 papers) and Spaceflight effects on biology (4 papers). The work is most often cited by research in Aging (586 citations), Biochemistry (788 citations), Endocrine and Autonomic Systems (498 citations), Molecular Biology (2.0k citations) and Cell Biology (450 citations). Mark B. Roth has collaborated with scholars based in United States, South Africa and Austria. Frequent co-authors include Karla M. Neugebauer, Alan M. Zahler, Dana L. Miller, Pamela A. Padilla, Landon L. Moore, Todd Nystul, William S. Lane, Mark W. Budde, Deborah J. Frank and Kami Ahmad. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Biology of the Cell, Molecular and Cellular Biology, The Journal of Cell Biology and Science.
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.