P. Cappai
Impact in
- Reproductive Medicine top 1%
- Sperm and Testicular Function
- Ovarian function and disorders
-
- Reproductive Biology and Fertility
Papers in
-
- Reproductive Biology and Fertility 30
-
- Renal and related cancers 8
- Pluripotent Stem Cells Research 5
- Co-authors
- Pasqualino Loi (16 shared papers)Grazyna Ptak (7 shared papers)Maria Dattena (21 shared papers)Michael Clinton (3 shared papers)Barbara Barboni (3 shared papers)S. Ledda (15 shared papers)Josef Fulka (2 shared papers)R. M. Moor (3 shared papers)
- Journals
- Theriogenology (12 papers)Animal Reproduction Science (5 papers)Biology of Reproduction (5 papers)Animal Science (1 paper)Mammalian Genome (1 paper)
- Partner nations
- ItalyPolandUnited Kingdom
In The Last Decade
P. Cappai
38 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 77
- Reproductive Medicine 498
- Public Health, Environmental and Occupational Health 1.1k
- Genetics 573
- Agronomy and Crop Science 195
- Molecular Biology 765
Countries citing papers authored by P. Cappai
This map shows the geographic impact of P. Cappai'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 P. Cappai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Cappai more than expected).
Fields of papers citing papers by P. Cappai
This network shows the impact of papers produced by P. Cappai. 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 P. Cappai. The network helps show where P. Cappai may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Cappai, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 315 | |
| 2 | 1998 | 178 | |
| 3 | 1994 | 103 | |
| 4 | 1999 | 96 | |
| 5 | 2002 | 61 | |
| 6 | 1998 | 58 | |
| 7 | 1999 | 56 | |
| 8 | 1997 | 56 | |
| 9 | 2000 | 55 | |
| 10 | 2002 | 51 | |
| 11 | 2005 | 51 | |
| 12 | 2003 | 45 | |
| 13 | 2003 | 39 | |
| 14 | 2004 | 36 | |
| 15 | 2004 | 32 | |
| 16 | 2007 | 31 | |
| 17 | 1995 | 29 | |
| 18 | 1998 | 27 | |
| 19 | 2004 | 27 | |
| 20 | 1996 | 23 |
About P. Cappai
P. Cappai is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Reproductive Medicine, Genetics and Pediatrics, Perinatology and Child Health, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (30 papers), Sperm and Testicular Function (8 papers), Renal and related cancers (8 papers), Assisted Reproductive Technology and Twin Pregnancy (6 papers), Animal Genetics and Reproduction (5 papers), Pluripotent Stem Cells Research (5 papers), Prenatal Screening and Diagnostics (5 papers) and Reproductive Physiology in Livestock (5 papers). The work is most often cited by research in Reproductive Medicine (498 citations), Public Health, Environmental and Occupational Health (1.1k citations), Genetics (573 citations), Agronomy and Crop Science (195 citations) and Molecular Biology (765 citations). P. Cappai has collaborated with scholars based in Italy, Poland and United Kingdom. Frequent co-authors include Pasqualino Loi, Grazyna Ptak, Maria Dattena, Michael Clinton, Barbara Barboni, S. Ledda, Josef Fulka, R. M. Moor, M. Tischner and J. Fulka. Their work appears in journals such as Theriogenology, Animal Reproduction Science, Biology of Reproduction, Animal Science and Mammalian Genome.
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.