Rafael Pieretti‐Vanmarcke
- Oncology top 5%
- Molecular Biology
- Surgery
- Reproductive Medicine top 2%
- Cancer Research top 10%
- Co-authors
- Patricia K. DonahoeDavid T. MacLaughlinPaul P. SzotekDavid DombkowskiFrederic I. PrefferDenise C. ConnollyDaniela M. DinulescuRosemary Foster
- Topics
- Reproductive Biology and Fertility (10 papers)Urological Disorders and Treatments (6 papers)Sperm and Testicular Function (3 papers)
- Cited by
- Reproductive MedicineOncologyUrology
- Partner nations
- United StatesVenezuelaAustria
In The Last Decade
Rafael Pieretti‐Vanmarcke
24 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Oncology 726
- Molecular Biology 602
- Surgery 279
- Reproductive Medicine 265
- Cancer Research 253
Countries citing papers authored by Rafael Pieretti‐Vanmarcke
This map shows the geographic impact of Rafael Pieretti‐Vanmarcke'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 Rafael Pieretti‐Vanmarcke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Pieretti‐Vanmarcke more than expected).
Fields of papers citing papers by Rafael Pieretti‐Vanmarcke
This network shows the impact of papers produced by Rafael Pieretti‐Vanmarcke. 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 Rafael Pieretti‐Vanmarcke. The network helps show where Rafael Pieretti‐Vanmarcke may publish in the future.
Co-authorship network of co-authors of Rafael Pieretti‐Vanmarcke
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Pieretti‐Vanmarcke. A scholar is included among the top collaborators of Rafael Pieretti‐Vanmarcke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rafael Pieretti‐Vanmarcke. Rafael Pieretti‐Vanmarcke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 8 | |
| 3 | 27 | |
| 4 | 28 | |
| 5 | 60 | |
| 6 | 86 | |
| 7 | 64 | |
| 8 | 12 | |
| 9 | 17 | |
| 10 | 6 | |
| 11 | 7 | |
| 12 | 14 | |
| 13 | Ovarian cancer side population defines cells with stem cell-like characteristics and Mullerian Inhibiting Substance responsivenessbreakdown → | 612 |
| 14 | 10 | |
| 15 | 37 | |
| 16 | 35 | |
| 17 | 34 | |
| 18 | 6 | |
| 19 | 13 | |
| 20 | 4 |
About Rafael Pieretti‐Vanmarcke
Rafael Pieretti‐Vanmarcke is a scholar working on Urology, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (10 papers), Urological Disorders and Treatments (6 papers) and Sperm and Testicular Function (3 papers). The work is most often cited by research in Reproductive Medicine (265 citations), Oncology (726 citations) and Urology (117 citations). Rafael Pieretti‐Vanmarcke has collaborated with scholars based in United States, Venezuela and Austria. Frequent co-authors include Patricia K. Donahoe, David T. MacLaughlin, Paul P. Szotek, David Dombkowski, Frederic I. Preffer, Denise C. Connolly, Daniela M. Dinulescu, Rosemary Foster, Peter T. Masiakos and Allan M. Goldstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Clinical Cancer Research 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.