Paul E. Mains
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms 40
- Cell Biology top 1%
- Microtubule and mitosis dynamics 17
- Molecular Biology top 5%
- Mitochondrial Function and Pathology 6
- Muscle Physiology and Disorders 5
-
- Circadian rhythm and melatonin 4
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals 5
-
- Reproductive Biology and Fertility 7
-
- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Martin SraykoAndreas WissmannFrancis J. McNallyChenggang LuLee M. SilverCarol Hopkins SibleyJacque-Lynne JohnsonAnna‐Maria Frischauf
- Cited by
- AgingCell BiologyMolecular Biology
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Paul E. Mains
53 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 96
- Aging 1.1k
- Cell Biology 995
- Molecular Biology 1.8k
- Endocrine and Autonomic Systems 155
- Genetics 407
Countries citing papers authored by Paul E. Mains
This map shows the geographic impact of Paul E. Mains'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 Paul E. Mains with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul E. Mains more than expected).
Fields of papers citing papers by Paul E. Mains
This network shows the impact of papers produced by Paul E. Mains. 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 Paul E. Mains. The network helps show where Paul E. Mains may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul E. Mains, 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 | 2024 | 2 | |
| 2 | 2016 | 9 | |
| 3 | 2015 | 11 | |
| 4 | 2015 | 27 | |
| 5 | 2014 | 42 | |
| 6 | 2013 | 16 | |
| 7 | 2013 | 17 | |
| 8 | 2009 | 19 | |
| 9 | 2006 | 33 | |
| 10 | 2005 | 27 | |
| 11 | 2003 | 57 | |
| 12 | 2003 | 63 | |
| 13 | 1999 | 43 | |
| 14 | 1997 | 5 | |
| 15 | 1994 | 86 | |
| 16 | 1994 | 80 | |
| 17 | 1993 | 40 | |
| 18 | 1992 | 2 | |
| 19 | 1986 | 1 | |
| 20 | 1983 | 40 |
About Paul E. Mains
Paul E. Mains is a scholar working on Aging, Cell Biology, Endocrine and Autonomic Systems, Molecular Biology and Parasitology, having authored 53 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (40 papers), Microtubule and mitosis dynamics (17 papers), Reproductive Biology and Fertility (7 papers), Mitochondrial Function and Pathology (6 papers), Muscle Physiology and Disorders (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Circadian rhythm and melatonin (4 papers). The work is most often cited by research in Aging (1.1k citations), Cell Biology (995 citations), Molecular Biology (1.8k citations), Endocrine and Autonomic Systems (155 citations) and Genetics (407 citations). Paul E. Mains has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Martin Srayko, Andreas Wissmann, Francis J. McNally, Chenggang Lu, Lee M. Silver, Carol Hopkins Sibley, Jacque-Lynne Johnson, Anna‐Maria Frischauf, Hans Lehrach and Bernhard G. Herrmann. Their work appears in journals such as Genetics, Developmental Biology, G3 Genes Genomes Genetics, Molecular Biology of the Cell and The Journal of Cell 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.