David Greenstein
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms 38
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- Circadian rhythm and melatonin 10
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- Reproductive Biology and Fertility 22
- Molecular Biology top 5%
- RNA Research and Splicing 9
- DNA Repair Mechanisms 5
- Pluripotent Stem Cells Research 4
- Cell Biology top 5%
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- Bacterial Genetics and Biotechnology 6
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- Bacteriophages and microbial interactions 5
- Co-authors
- Mary KosinskiE. Jane Albert HubbardJ. Amaranath GovindanMichael A. MillerDavid H. HallIkuko YamamotoTokiko FurutaCaroline A. Spike
- Partner nations
- United StatesJapanCanada
In The Last Decade
David Greenstein
52 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 94
- Aging 1.9k
- Endocrine and Autonomic Systems 511
- Public Health, Environmental and Occupational Health 791
- Molecular Biology 1.4k
- Cell Biology 268
Countries citing papers authored by David Greenstein
This map shows the geographic impact of David Greenstein'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 David Greenstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Greenstein more than expected).
Fields of papers citing papers by David Greenstein
This network shows the impact of papers produced by David Greenstein. 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 David Greenstein. The network helps show where David Greenstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Greenstein, 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 | 2022 | 8 | |
| 3 | 2022 | 4 | |
| 4 | 2020 | 20 | |
| 5 | 2018 | 12 | |
| 6 | 2017 | 39 | |
| 7 | 2014 | 61 | |
| 8 | 2013 | 17 | |
| 9 | 2009 | 110 | |
| 10 | 2006 | 8 | |
| 11 | 2006 | 50 | |
| 12 | 2005 | 100 | |
| 13 | 2005 | 51 | |
| 14 | 2004 | 46 | |
| 15 | 2003 | 159 | |
| 16 | 2001 | 61 | |
| 17 | 2000 | 193 | |
| 18 | 1998 | 13 | |
| 19 | 1994 | 35 | |
| 20 | 1990 | 13 |
About David Greenstein
David Greenstein is a scholar working on Aging, Endocrine and Autonomic Systems, Public Health, Environmental and Occupational Health, Molecular Biology and Genetics, having authored 54 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (38 papers), Reproductive Biology and Fertility (22 papers), Circadian rhythm and melatonin (10 papers), RNA Research and Splicing (9 papers), Bacterial Genetics and Biotechnology (6 papers), Bacteriophages and microbial interactions (5 papers), DNA Repair Mechanisms (5 papers) and Pluripotent Stem Cells Research (4 papers). The work is most often cited by research in Aging (1.9k citations), Endocrine and Autonomic Systems (511 citations), Public Health, Environmental and Occupational Health (791 citations), Molecular Biology (1.4k citations) and Cell Biology (268 citations). David Greenstein has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Mary Kosinski, E. Jane Albert Hubbard, J. Amaranath Govindan, Michael A. Miller, David H. Hall, Ikuko Yamamoto, Tokiko Furuta, Caroline A. Spike, Tim Schedl and Richard M. Caprioli. Their work appears in journals such as Genetics, Current Biology, Development, Proceedings of the National Academy of Sciences and Developmental Biology.
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.