Thérèse Cynober
- Physiology top 2%
- Genetics top 2%
- Hematology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Gil TcherniaNarla MohandasHenri WajcmanMichael C. MardenMarie‐Catherine GiarratanaDavid ChalmersHélène LapillonneLuc Douay
- Topics
- Erythrocyte Function and Pathophysiology (35 papers)Blood properties and coagulation (16 papers)Hemoglobinopathies and Related Disorders (16 papers)
- Cited by
- GeneticsHematologyPhysiology
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Thérèse Cynober
44 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 88
- Physiology 967
- Genetics 583
- Hematology 481
- Pulmonary and Respiratory Medicine 397
- Pediatrics, Perinatology and Child Health 387
Countries citing papers authored by Thérèse Cynober
This map shows the geographic impact of Thérèse Cynober'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 Thérèse Cynober with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thérèse Cynober more than expected).
Fields of papers citing papers by Thérèse Cynober
This network shows the impact of papers produced by Thérèse Cynober. 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 Thérèse Cynober. The network helps show where Thérèse Cynober may publish in the future.
Co-authorship network of co-authors of Thérèse Cynober
This figure shows the co-authorship network connecting the top 25 collaborators of Thérèse Cynober. A scholar is included among the top collaborators of Thérèse Cynober 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 Thérèse Cynober. Thérèse Cynober is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Comparison between a Camera and a Four Quadrant Detector, in the Measurement of Red Blood Cell Deformability as a Function of Osmolality | 1 |
| 2 | 5 | |
| 3 | 17 | |
| 4 | 14 | |
| 5 | 13 | |
| 6 | 13 | |
| 7 | 21 | |
| 8 | 22 | |
| 9 | 9 | |
| 10 | 32 | |
| 11 | 2 | |
| 12 | 48 | |
| 13 | 19 | |
| 14 | Heavy transfusions and presence of an anti-protein 4.2 antibody in 4. 2(-) hereditary spherocytosis (949delG). | 14 |
| 15 | 11 | |
| 16 | 10 | |
| 17 | 7 | |
| 18 | 136 | |
| 19 | 34 | |
| 20 | 8 |
About Thérèse Cynober
Thérèse Cynober is a scholar working on Genetics, Physiology and Hematology, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (35 papers), Blood properties and coagulation (16 papers) and Hemoglobinopathies and Related Disorders (16 papers). The work is most often cited by research in Genetics (583 citations), Hematology (481 citations) and Physiology (967 citations). Thérèse Cynober has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Gil Tchernia, Narla Mohandas, Henri Wajcman, Michael C. Marden, Marie‐Catherine Giarratana, David Chalmers, Hélène Lapillonne, Luc Douay, Ladan Kobari and Laurent Kiger. Their work appears in journals such as Journal of Clinical Investigation, Blood and Nature Biotechnology.
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.