Isabelle Fajardy
- Pediatrics, Perinatology and Child Health top 5%
- Pathology and Forensic Medicine top 5%
- Genetics top 10%
- Molecular Biology
- Obstetrics and Gynecology top 2%
- Co-authors
- A. VambergueSylvain MayeurDidier VieauP. FontaineJean LésageÉ. HachullaPierre-Marie DanzéB. Granel
- Topics
- Birth, Development, and Health (12 papers)Diabetes and associated disorders (11 papers)Pregnancy and preeclampsia studies (6 papers)
- Cited by
- Obstetrics and GynecologyPathology and Forensic MedicinePediatrics, Perinatology and Child Health
- Partner nations
- FranceUnited KingdomIndia
In The Last Decade
Isabelle Fajardy
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 94
- Pediatrics, Perinatology and Child Health 386
- Pathology and Forensic Medicine 364
- Genetics 320
- Molecular Biology 301
- Obstetrics and Gynecology 293
Countries citing papers authored by Isabelle Fajardy
This map shows the geographic impact of Isabelle Fajardy'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 Isabelle Fajardy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabelle Fajardy more than expected).
Fields of papers citing papers by Isabelle Fajardy
This network shows the impact of papers produced by Isabelle Fajardy. 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 Isabelle Fajardy. The network helps show where Isabelle Fajardy may publish in the future.
Co-authorship network of co-authors of Isabelle Fajardy
This figure shows the co-authorship network connecting the top 25 collaborators of Isabelle Fajardy. A scholar is included among the top collaborators of Isabelle Fajardy 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 Isabelle Fajardy. Isabelle Fajardy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 14 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 153 | |
| 6 | 156 | |
| 7 | 6 | |
| 8 | 15 | |
| 9 | 75 | |
| 10 | 118 | |
| 11 | 26 | |
| 12 | 21 | |
| 13 | 5 | |
| 14 | 10 | |
| 15 | 7 | |
| 16 | 33 | |
| 17 | Le système HLA, une aide à la clinique ? | 1 |
| 18 | 17 | |
| 19 | An improved strategy for HLA-DRB1 subtyping by digestion of PCR-amplified DNA with allele-specific restriction endonucleases. | 10 |
| 20 | 10 |
About Isabelle Fajardy
Isabelle Fajardy is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Genetics, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Birth, Development, and Health (12 papers), Diabetes and associated disorders (11 papers) and Pregnancy and preeclampsia studies (6 papers). The work is most often cited by research in Obstetrics and Gynecology (293 citations), Pathology and Forensic Medicine (364 citations) and Pediatrics, Perinatology and Child Health (386 citations). Isabelle Fajardy has collaborated with scholars based in France, United Kingdom and India. Frequent co-authors include A. Vambergue, Sylvain Mayeur, Didier Vieau, P. Fontaine, Jean Lésage, É. Hachulla, Pierre-Marie Danzé, B. Granel, Yannick Allanore and Patrick Vermersch. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetologia.
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.