Philip Meneely
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
- Aging 21
- Genetics, Aging, and Longevity in Model Organisms 21
-
- CRISPR and Genetic Engineering 10
- DNA Repair Mechanisms 4
- Fungal and yeast genetics research 2
- Co-authors
- Robert K Herman (3 shared papers)Margaret M. Sedensky (4 shared papers)Susan M. Parkhurst (1 shared paper)Philip G. Morgan (2 shared papers)Carolyn M. Phillips (1 shared paper)Chihunt Wong (1 shared paper)Peter M. Carlton (1 shared paper)Abby F. Dernburg (1 shared paper)
- Journals
- Genetics (11 papers)Science (4 papers)Cell (2 papers)mSphere (1 paper)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)
- Partner nations
- United StatesSouth AfricaNigeria
In The Last Decade
Philip Meneely
30 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Aging 662
- Endocrine and Autonomic Systems 139
- Molecular Biology 850
- Genetics 274
- Cellular and Molecular Neuroscience 126
Countries citing papers authored by Philip Meneely
This map shows the geographic impact of Philip Meneely'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 Philip Meneely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Meneely more than expected).
Fields of papers citing papers by Philip Meneely
This network shows the impact of papers produced by Philip Meneely. 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 Philip Meneely. The network helps show where Philip Meneely may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Meneely, 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 | 2005 | 229 | |
| 2 | 1994 | 108 | |
| 3 | 1996 | 103 | |
| 4 | 1979 | 102 | |
| 5 | 1990 | 87 | |
| 6 | 1981 | 83 | |
| 7 | 2002 | 70 | |
| 8 | 2019 | 69 | |
| 9 | 1987 | 64 | |
| 10 | 1993 | 55 | |
| 11 | 2012 | 49 | |
| 12 | 1994 | 45 | |
| 13 | 1988 | 40 | |
| 14 | 1981 | 38 | |
| 15 | 1984 | 34 | |
| 16 | 1987 | 30 | |
| 17 | 1985 | 23 | |
| 18 | 2010 | 14 | |
| 19 | 1988 | 14 | |
| 20 | 2018 | 12 |
About Philip Meneely
Philip Meneely is a scholar working on Aging, Molecular Biology, Genetics, Endocrine and Autonomic Systems and Physiology, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (21 papers), CRISPR and Genetic Engineering (10 papers), DNA Repair Mechanisms (4 papers), Evolution and Genetic Dynamics (3 papers), Circadian rhythm and melatonin (3 papers), Chromosomal and Genetic Variations (3 papers), Fungal and yeast genetics research (2 papers) and Spaceflight effects on biology (2 papers). The work is most often cited by research in Aging (662 citations), Endocrine and Autonomic Systems (139 citations), Molecular Biology (850 citations), Genetics (274 citations) and Cellular and Molecular Neuroscience (126 citations). Philip Meneely has collaborated with scholars based in United States, South Africa and Nigeria. Frequent co-authors include Robert K Herman, Margaret M. Sedensky, Susan M. Parkhurst, Philip G. Morgan, Carolyn M. Phillips, Chihunt Wong, Peter M. Carlton, Abby F. Dernburg, Needhi Bhalla and William B. Wood. Their work appears in journals such as Genetics, Science, Cell, mSphere and Cold Spring Harbor Symposia on Quantitative 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.