Paula E. Cohen
Impact in
- Reproductive Medicine top 0.5%
- Sperm and Testicular Function
- Aging top 2%
Papers in
-
- DNA Repair Mechanisms 43
- Genomics and Chromatin Dynamics 15
- CRISPR and Genetic Engineering 8
- Co-authors
- Jeffrey W. Pollard (10 shared papers)Jeffrey W. Pollard (4 shared papers)Miles D. Houslay (1 shared paper)Richard D. Kolodner (5 shared papers)Stephen Gray (6 shared papers)Nadine K. Kolas (7 shared papers)J. Kim Holloway (12 shared papers)Michael Kane (4 shared papers)
- Journals
- PLoS Genetics (8 papers)Biology of Reproduction (5 papers)The Journal of Cell Biology (4 papers)Nature Genetics (4 papers)Endocrinology (4 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Paula E. Cohen
74 papers receiving 6.4k citations
Peers
Comparison fields: 5 of 117
- Reproductive Medicine 876
- Aging 145
- Molecular Biology 4.7k
- Cancer Research 830
- Genetics 1.4k
Countries citing papers authored by Paula E. Cohen
This map shows the geographic impact of Paula E. Cohen'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 Paula E. Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula E. Cohen more than expected).
Fields of papers citing papers by Paula E. Cohen
This network shows the impact of papers produced by Paula E. Cohen. 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 Paula E. Cohen. The network helps show where Paula E. Cohen may publish in the future.
Co-authors
The 25 scholars most cited alongside Paula E. Cohen, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 461 | |
| 2 | 2000 | 369 | |
| 3 | 1999 | 312 | |
| 4 | 1997 | 304 | |
| 5 | 2002 | 296 | |
| 6 | 2002 | 290 | |
| 7 | Molecular mechanisms of transmembrane signalling | 1985 | 289 |
| 8 | 2003 | 261 | |
| 9 | 2016 | 247 | |
| 10 | 2013 | 199 | |
| 11 | 2003 | 173 | |
| 12 | 2013 | 155 | |
| 13 | 2008 | 152 | |
| 14 | 2013 | 148 | |
| 15 | 2014 | 147 | |
| 16 | 2005 | 146 | |
| 17 | 2004 | 133 | |
| 18 | 2006 | 123 | |
| 19 | 1997 | 119 | |
| 20 | 1996 | 118 |
About Paula E. Cohen
Paula E. Cohen is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Immunology and Plant Science, having authored 76 papers that have together received 6.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (43 papers), Genomics and Chromatin Dynamics (15 papers), Genetic factors in colorectal cancer (13 papers), Reproductive System and Pregnancy (11 papers), Chromosomal and Genetic Variations (9 papers), Reproductive Biology and Fertility (9 papers), CRISPR and Genetic Engineering (8 papers) and Sperm and Testicular Function (8 papers). The work is most often cited by research in Reproductive Medicine (876 citations), Aging (145 citations), Molecular Biology (4.7k citations), Cancer Research (830 citations) and Genetics (1.4k citations). Paula E. Cohen has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Jeffrey W. Pollard, Jeffrey W. Pollard, Miles D. Houslay, Richard D. Kolodner, Stephen Gray, Nadine K. Kolas, J. Kim Holloway, Michael Kane, Winfried Edelmann and Winfried Edelmann. Their work appears in journals such as PLoS Genetics, Biology of Reproduction, The Journal of Cell Biology, Nature Genetics and Endocrinology.
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.