Nicolas Hebert
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Physiology top 5%
- Erythrocyte Function and Pathophysiology
Papers in
- Genetics 14
- Hemoglobinopathies and Related Disorders 14
- Hematology 11
- Blood groups and transfusion 8
- Iron Metabolism and Disorders 4
- Co-authors
- Luc Douay (6 shared papers)Christelle Mazurier (6 shared papers)Hélène Lapillonne (4 shared papers)Marie‐Catherine Giarratana (3 shared papers)Laurent Kiger (5 shared papers)Ladan Kobari (3 shared papers)Alain Francina (2 shared papers)Jean‐Yves Devaux (1 shared paper)
- Journals
- Blood (10 papers)American Journal of Hematology (3 papers)Haematologica (3 papers)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)Nature Communications (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Nicolas Hebert
17 papers receiving 653 citations
Peers
Comparison fields: 5 of 60
- Genetics 154
- Physiology 313
- Hematology 117
- Cell Biology 130
- Biochemistry 28
Countries citing papers authored by Nicolas Hebert
This map shows the geographic impact of Nicolas Hebert'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 Nicolas Hebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Hebert more than expected).
Fields of papers citing papers by Nicolas Hebert
This network shows the impact of papers produced by Nicolas Hebert. 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 Nicolas Hebert. The network helps show where Nicolas Hebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Hebert, 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 | 2011 | 235 | |
| 2 | 2010 | 182 | |
| 3 | 2012 | 92 | |
| 4 | 1978 | 48 | |
| 5 | 2015 | 27 | |
| 6 | 2019 | 19 | |
| 7 | 2020 | 18 | |
| 8 | 2013 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2018 | 4 | |
| 11 | 2015 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2019 | 0 |
About Nicolas Hebert
Nicolas Hebert is a scholar working on Genetics, Hematology, Physiology, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 20 papers that have together received 666 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (14 papers), Blood groups and transfusion (8 papers), Erythrocyte Function and Pathophysiology (7 papers), Iron Metabolism and Disorders (4 papers), Prenatal Screening and Diagnostics (4 papers), Cardiac electrophysiology and arrhythmias (1 paper), DNA Repair Mechanisms (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Genetics (154 citations), Physiology (313 citations), Hematology (117 citations), Cell Biology (130 citations) and Biochemistry (28 citations). Nicolas Hebert has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Luc Douay, Christelle Mazurier, Hélène Lapillonne, Marie‐Catherine Giarratana, Laurent Kiger, Ladan Kobari, Alain Francina, Jean‐Yves Devaux, Philippe Tropel and Germain Trugnan. Their work appears in journals such as Blood, American Journal of Hematology, Haematologica, American Journal of Physiology-Heart and Circulatory Physiology and Nature Communications.
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.