Gary Ruvkun
- Aging top 0.01%
- Genetics, Aging, and Longevity in Model Organisms 146
- Endocrine and Autonomic Systems top 0.02%
- Circadian rhythm and melatonin 33
- Cancer Research top 0.02%
- MicroRNA in disease regulation 16
- Molecular Biology top 0.05%
- CRISPR and Genetic Engineering 38
- RNA Research and Splicing 20
- Mitochondrial Function and Pathology 18
- Physiology top 0.2%
- Spaceflight effects on biology 15
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- Planetary Science and Exploration 18
- Co-authors
- Ilho HaBruce WightmanHeidi A. TissenbaumAmy E. PasquinelliFrank J. SlackH. Robert HorvitzMichael FinneyBrenda J. Reinhart
- Journals
- Genes & Development (22 papers)Proceedings of the National Academy of Sciences (21 papers)Nature (19 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Gary Ruvkun
217 papers receiving 41.7k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Aging 17.5k
- Endocrine and Autonomic Systems 6.1k
- Cancer Research 11.0k
- Molecular Biology 26.8k
- Physiology 4.8k
Countries citing papers authored by Gary Ruvkun
This map shows the geographic impact of Gary Ruvkun'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 Gary Ruvkun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Ruvkun more than expected).
Fields of papers citing papers by Gary Ruvkun
This network shows the impact of papers produced by Gary Ruvkun. 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 Gary Ruvkun. The network helps show where Gary Ruvkun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gary Ruvkun, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2021 | 30 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 36 | |
| 9 | 2019 | 18 | |
| 10 | 2018 | 52 | |
| 11 | SETG: Nucleic Acid Extraction and Sequencing for In Situ Life Detection on Mars | 2016 | 2 |
| 12 | Caenorhabditis elegans responses to bacteria from its natural habitatsbreakdown → | 2016 | 261 |
| 13 | 2012 | 25 | |
| 14 | 2008 | 299 | |
| 15 | 2007 | 83 | |
| 16 | 2007 | 23 | |
| 17 | 2006 | 89 | |
| 18 | 2005 | 223 | |
| 19 | DNA approach to Mars | 2004 | 1 |
| 20 | 2003 | 465 |
About Gary Ruvkun
Gary Ruvkun is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology, having authored 218 papers that have together received 42.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (146 papers), CRISPR and Genetic Engineering (38 papers), Circadian rhythm and melatonin (33 papers), RNA Research and Splicing (20 papers), Planetary Science and Exploration (18 papers), Mitochondrial Function and Pathology (18 papers), MicroRNA in disease regulation (16 papers) and Spaceflight effects on biology (15 papers). The work is most often cited by research in Aging (17.5k citations), Endocrine and Autonomic Systems (6.1k citations) and Cancer Research (11.0k citations). Gary Ruvkun has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ilho Ha, Bruce Wightman, Heidi A. Tissenbaum, Amy E. Pasquinelli, Frank J. Slack, H. Robert Horvitz, Michael Finney, Brenda J. Reinhart, Frederick M. Ausubel and Michael Basson. Their work appears in journals such as Genes & Development, Proceedings of the National Academy of Sciences, Nature, Cell 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.