S. Pasqualini
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Ovarian function and disorders
- Reproductive Health and Technologies
- Endometriosis Research and Treatment
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- Reproductive Biology and Fertility
Papers in
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- Reproductive Biology and Fertility 5
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- Ovarian function and disorders 2
- Reproductive Health and Technologies 2
- Co-authors
- B. Gasparrini (1 shared paper)Jeremy G. Thompson (1 shared paper)Gabriela Gutiérrez (5 shared papers)Teresa Gentile (3 shared papers)Sílvia Daher (1 shared paper)Udo R. Markert (1 shared paper)Donald R. Tredway (1 shared paper)C.J. Quintans (4 shared papers)
In The Last Decade
S. Pasqualini
12 papers receiving 291 citations
Peers
Comparison fields: 5 of 42
- Reproductive Medicine 209
- Public Health, Environmental and Occupational Health 222
- Immunology 59
- Agronomy and Crop Science 25
- Obstetrics and Gynecology 15
Countries citing papers authored by S. Pasqualini
This map shows the geographic impact of S. Pasqualini'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 S. Pasqualini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Pasqualini more than expected).
Fields of papers citing papers by S. Pasqualini
This network shows the impact of papers produced by S. Pasqualini. 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 S. Pasqualini. The network helps show where S. Pasqualini may publish in the future.
Co-authors
The 22 scholars most cited alongside S. Pasqualini, 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 | 2002 | 166 | |
| 2 | 2010 | 46 | |
| 3 | 2007 | 41 | |
| 4 | 2002 | 21 | |
| 5 | 2004 | 20 | |
| 6 | 2004 | 14 | |
| 7 | 2010 | 6 | |
| 8 | 2021 | 3 | |
| 9 | 2008 | 2 | |
| 10 | 2001 | 2 | |
| 11 | Uses and limitations of two molecular cytogenetic techniques for the study of arrested embryos obtained through assisted reproduction technology. | 2005 | 2 |
| 12 | 2011 | 1 | |
| 13 | 2011 | 1 |
About S. Pasqualini
S. Pasqualini is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Immunology, Pediatrics, Perinatology and Child Health and Genetics, having authored 13 papers that have together received 325 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (5 papers), Reproductive System and Pregnancy (4 papers), Ovarian function and disorders (2 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers), Reproductive Health and Technologies (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Cancer-related molecular mechanisms research (1 paper) and Prenatal Screening and Diagnostics (1 paper). The work is most often cited by research in Reproductive Medicine (209 citations), Public Health, Environmental and Occupational Health (222 citations), Immunology (59 citations), Agronomy and Crop Science (25 citations) and Obstetrics and Gynecology (15 citations). S. Pasqualini has collaborated with scholars based in Argentina, Germany and Brazil. Frequent co-authors include B. Gasparrini, Jeremy G. Thompson, Gabriela Gutiérrez, Teresa Gentile, Sílvia Daher, Udo R. Markert, Donald R. Tredway, C.J. Quintans, Timothy R. Yeko and Verónica Alam. Their work appears in journals such as American Journal of Reproductive Immunology, Fertility and Sterility, Journal of Reproductive Immunology, Animal Reproduction Science and Theriogenology.
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.