Mark M. Metzstein
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 5%
- RNA Research and Splicing
- Developmental Biology and Gene Regulation
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Cell death mechanisms and regulation
Papers in
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
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- Neurobiology and Insect Physiology Research 6
- Co-authors
- H. Robert HorvitzGillian M. StanfieldMark A. KrasnowAmin S. GhabrialStefan LuschnigChristine RushlowNikolai KirovChung-Yi Nien
- Journals
- Nature (3 papers)PLoS Genetics (2 papers)Journal of Clinical Investigation (2 papers)Genetics (2 papers)Development (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Mark M. Metzstein
22 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 108
- Aging 519
- Molecular Biology 1.9k
- Cell Biology 351
- Endocrine and Autonomic Systems 112
- Cellular and Molecular Neuroscience 252
Countries citing papers authored by Mark M. Metzstein
This map shows the geographic impact of Mark M. Metzstein'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 M. Metzstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark M. Metzstein more than expected).
Fields of papers citing papers by Mark M. Metzstein
This network shows the impact of papers produced by Mark M. Metzstein. 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 M. Metzstein. The network helps show where Mark M. Metzstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark M. Metzstein, 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 | 2025 | 0 | |
| 2 | 2018 | 8 | |
| 3 | 2018 | 16 | |
| 4 | 2017 | 0 | |
| 5 | 2016 | 56 | |
| 6 | 2015 | 13 | |
| 7 | 2014 | 32 | |
| 8 | 2014 | 21 | |
| 9 | 2013 | 8 | |
| 10 | 2012 | 13 | |
| 11 | 2012 | 7 | |
| 12 | 2011 | 100 | |
| 13 | 2010 | 43 | |
| 14 | 2008 | 368 | |
| 15 | 2006 | 101 | |
| 16 | 1999 | 107 | |
| 17 | 1998 | 368 | |
| 18 | 1996 | 136 | |
| 19 | 1992 | 295 | |
| 20 | 1992 | 396 |
About Mark M. Metzstein
Mark M. Metzstein is a scholar working on Aging, Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology and Immunology, having authored 24 papers that have together received 2.5k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (9 papers), RNA Research and Splicing (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Neurobiology and Insect Physiology Research (6 papers), Genomics and Chromatin Dynamics (5 papers), Invertebrate Immune Response Mechanisms (4 papers), CRISPR and Genetic Engineering (4 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Aging (519 citations), Molecular Biology (1.9k citations), Cell Biology (351 citations), Endocrine and Autonomic Systems (112 citations) and Cellular and Molecular Neuroscience (252 citations). Mark M. Metzstein has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include H. Robert Horvitz, Gillian M. Stanfield, Mark A. Krasnow, Amin S. Ghabrial, Stefan Luschnig, Christine Rushlow, Nikolai Kirov, Chung-Yi Nien, Iva Greenwald and Karen Thomas. Their work appears in journals such as Nature, PLoS Genetics, Journal of Clinical Investigation, Genetics and Development.
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.