Paul M. Wassarman
- Reproductive Medicine top 0.01%
- Sperm and Testicular Function 90
- Physiology top 0.1%
- Reproductive biology and impacts on aquatic species 14
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- Reproductive Biology and Fertility 99
- Genetics top 0.2%
- Animal Genetics and Reproduction 60
- Aging top 1%
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- RNA Interference and Gene Delivery 12
- DNA and Nucleic Acid Chemistry 10
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- Mass Spectrometry Techniques and Applications 9
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- Polyomavirus and related diseases 9
- Co-authors
- Jeffrey D. BleilEveline S. LitscherLuca JovineHarvey M. FlormanRichard M. SchultzRoss A. KinlochJeffrey M. GreveMelvin L. DePamphilis
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Paul M. Wassarman
186 papers receiving 14.7k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Reproductive Medicine 8.0k
- Physiology 1.3k
- Public Health, Environmental and Occupational Health 8.2k
- Genetics 4.0k
- Aging 170
Countries citing papers authored by Paul M. Wassarman
This map shows the geographic impact of Paul M. Wassarman'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 M. Wassarman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul M. Wassarman more than expected).
Fields of papers citing papers by Paul M. Wassarman
This network shows the impact of papers produced by Paul M. Wassarman. 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 M. Wassarman. The network helps show where Paul M. Wassarman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul M. Wassarman, 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 | 0 | |
| 2 | 2018 | 30 | |
| 3 | Essays on developmental biology | 2016 | 1 |
| 4 | 2012 | 38 | |
| 5 | 2010 | 3 | |
| 6 | Mouse molecular genetics | 2010 | 1 |
| 7 | 2008 | 97 | |
| 8 | 2007 | 41 | |
| 9 | 2005 | 48 | |
| 10 | 2005 | 36 | |
| 11 | 2005 | 54 | |
| 12 | Differentiation of embryonic stem cells | 2003 | 22 |
| 13 | 1995 | 119 | |
| 14 | Guide to techniques in mouse development | 1993 | 187 |
| 15 | 1993 | 26 | |
| 16 | Advances in developmental biology | 1992 | 52 |
| 17 | 1992 | 2 | |
| 18 | 1992 | 61 | |
| 19 | Elements of mammalian fertilization | 1991 | 224 |
| 20 | ZONA PELLUCIDA GLYCOPROTEINSbreakdown → | 1988 | 628 |
About Paul M. Wassarman
Paul M. Wassarman is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Physiology, having authored 189 papers that have together received 15.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (99 papers), Sperm and Testicular Function (90 papers), Animal Genetics and Reproduction (60 papers), Reproductive biology and impacts on aquatic species (14 papers), RNA Interference and Gene Delivery (12 papers), DNA and Nucleic Acid Chemistry (10 papers), Mass Spectrometry Techniques and Applications (9 papers) and Polyomavirus and related diseases (9 papers). The work is most often cited by research in Reproductive Medicine (8.0k citations), Physiology (1.3k citations) and Public Health, Environmental and Occupational Health (8.2k citations). Paul M. Wassarman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jeffrey D. Bleil, Eveline S. Litscher, Luca Jovine, Harvey M. Florman, Richard M. Schultz, Ross A. Kinloch, Jeffrey M. Greve, Melvin L. DePamphilis, G. E. Letourneau and Zev Williams. Their work appears in journals such as Nature, Science and Cell.
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.