Daniel Vaiman
Impact in
- Obstetrics and Gynecology top 0.1%
- Pregnancy and preeclampsia studies
- Reproductive Medicine top 0.5%
- Endometriosis Research and Treatment
Papers in
-
- Pregnancy and preeclampsia studies 65
- Co-authors
- Francisco MirallesLouise BiquardF. MondonSandrine BarbauxSonia T. ChelbiCharles ChapronCéline MéhatsBruno Borghese
- Journals
- Mammalian Genome (14 papers)Animal Genetics (13 papers)PLoS ONE (12 papers)Genetics Selection Evolution (10 papers)International Journal of Molecular Sciences (8 papers)
- Partner nations
- FranceMoroccoUnited States
In The Last Decade
Daniel Vaiman
237 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Obstetrics and Gynecology 2.6k
- Reproductive Medicine 1.5k
- Genetics 3.2k
- Pediatrics, Perinatology and Child Health 2.2k
- Immunology 1.7k
Countries citing papers authored by Daniel Vaiman
This map shows the geographic impact of Daniel Vaiman'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 Daniel Vaiman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Vaiman more than expected).
Fields of papers citing papers by Daniel Vaiman
This network shows the impact of papers produced by Daniel Vaiman. 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 Daniel Vaiman. The network helps show where Daniel Vaiman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Vaiman, 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 | 6 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 4 | |
| 4 | 2017 | 6 | |
| 5 | 2016 | 63 | |
| 6 | 2016 | 13 | |
| 7 | 2014 | 72 | |
| 8 | 2012 | 118 | |
| 9 | 2012 | 59 | |
| 10 | Genome-Wide Linkage in a Highly Consanguineous Pedigree Reveals Two Novel Loci on Chromosome 7 for Non-Syndromic Familial Premature Ovarian Failure | 2012 | 0 |
| 11 | 2010 | 14 | |
| 12 | 2009 | 21 | |
| 13 | 2008 | 53 | |
| 14 | 2005 | 45 | |
| 15 | 2004 | 2 | |
| 16 | 2001 | 262 | |
| 17 | 2000 | 19 | |
| 18 | 2000 | 40 | |
| 19 | 1995 | 8 | |
| 20 | 1994 | 21 |
About Daniel Vaiman
Daniel Vaiman is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Pediatrics, Perinatology and Child Health, Genetics and Immunology, having authored 242 papers that have together received 8.8k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (65 papers), Birth, Development, and Health (54 papers), Reproductive System and Pregnancy (44 papers), Genetic Mapping and Diversity in Plants and Animals (39 papers), Animal Genetics and Reproduction (38 papers), Genetic and phenotypic traits in livestock (35 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (28 papers) and Reproductive Biology and Fertility (23 papers). The work is most often cited by research in Obstetrics and Gynecology (2.6k citations), Reproductive Medicine (1.5k citations), Genetics (3.2k citations), Pediatrics, Perinatology and Child Health (2.2k citations) and Immunology (1.7k citations). Daniel Vaiman has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include Francisco Miralles, Louise Biquard, F. Mondon, Sandrine Barbaux, Sonia T. Chelbi, Charles Chapron, Céline Méhats, Bruno Borghese, Edmond Cribiu and Marc Fellous. Their work appears in journals such as Mammalian Genome, Animal Genetics, PLoS ONE, Genetics Selection Evolution and International Journal of Molecular Sciences.
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.