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 20
- Genetics, Aging, and Longevity in Model Organisms 20
-
- CRISPR and Genetic Engineering 11
- DNA Repair Mechanisms 4
- 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)Abby F. Dernburg (1 shared paper)Chihunt Wong (1 shared paper)Needhi Bhalla (1 shared paper)
- Journals
- Genetics (14 papers)Science (4 papers)Cell (2 papers)Infection and Immunity (1 paper)BioEssays (1 paper)
- Partner nations
- United StatesSouth AfricaNigeria
In The Last Decade
Philip Meneely
31 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 91
- Aging 649
- Endocrine and Autonomic Systems 132
- Molecular Biology 847
- Genetics 276
- Developmental Neuroscience 31
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 229 | |
| 2 | 1994 | 113 | |
| 3 | 1979 | 104 | |
| 4 | 1990 | 98 | |
| 5 | 1996 | 95 | |
| 6 | 1981 | 88 | |
| 7 | 2019 | 78 | |
| 8 | 2002 | 69 | |
| 9 | 1987 | 68 | |
| 10 | 1993 | 53 | |
| 11 | 2012 | 43 | |
| 12 | 1988 | 43 | |
| 13 | 1981 | 41 | |
| 14 | 1994 | 39 | |
| 15 | 1984 | 34 | |
| 16 | 1987 | 29 | |
| 17 | 1988 | 14 | |
| 18 | 2010 | 14 | |
| 19 | 2018 | 12 | |
| 20 | 1994 | 10 |
About Philip Meneely
Philip Meneely is a scholar working on Aging, Molecular Biology, Endocrine and Autonomic Systems, Genetics and Endocrinology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (20 papers), CRISPR and Genetic Engineering (11 papers), DNA Repair Mechanisms (4 papers), Evolution and Genetic Dynamics (3 papers), Circadian rhythm and melatonin (3 papers), Chromosomal and Genetic Variations (3 papers), Escherichia coli research studies (2 papers) and thermodynamics and calorimetric analyses (2 papers). The work is most often cited by research in Aging (649 citations), Endocrine and Autonomic Systems (132 citations), Molecular Biology (847 citations), Genetics (276 citations) and Developmental Neuroscience (31 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, Abby F. Dernburg, Chihunt Wong, Needhi Bhalla, Peter Mark Carlton and William B. Wood. Their work appears in journals such as Genetics, Science, Cell, Infection and Immunity and BioEssays.
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.