Danitza Nébor
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hematology top 5%
- Iron Metabolism and Disorders
- Blood groups and transfusion
Papers in
- Genetics 11
- Hemoglobinopathies and Related Disorders 11
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- Blood groups and transfusion 3
- Iron Metabolism and Disorders 3
- Co-authors
- Marc Romana (6 shared papers)Jacques Élion (6 shared papers)Marie‐Dominique Hardy‐Dessources (6 shared papers)Philippe Connes (5 shared papers)Marvin Reid (3 shared papers)Vanessa Cumming (3 shared papers)Jennifer Knight‐Madden (3 shared papers)Olivier Hüe (2 shared papers)
- Journals
- Blood Cells Molecules and Diseases (2 papers)Haematologica (2 papers)Scientific Reports (1 paper)Development (1 paper)Frontiers in Physiology (1 paper)
- Partner nations
- GuadeloupeFranceUnited States
In The Last Decade
Danitza Nébor
13 papers receiving 352 citations
Peers
Comparison fields: 5 of 55
- Genetics 277
- Hematology 186
- Physiology 120
- Molecular Biology 112
- Internal Medicine 6
Countries citing papers authored by Danitza Nébor
This map shows the geographic impact of Danitza Nébor'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 Danitza Nébor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danitza Nébor more than expected).
Fields of papers citing papers by Danitza Nébor
This network shows the impact of papers produced by Danitza Nébor. 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 Danitza Nébor. The network helps show where Danitza Nébor may publish in the future.
Co-authors
The 25 scholars most cited alongside Danitza Nébor, 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 | 88 | |
| 2 | 2013 | 50 | |
| 3 | 2010 | 42 | |
| 4 | 2014 | 38 | |
| 5 | 2016 | 34 | |
| 6 | 2010 | 26 | |
| 7 | 2017 | 19 | |
| 8 | 2011 | 18 | |
| 9 | 2010 | 15 | |
| 10 | 2018 | 15 | |
| 11 | 2013 | 7 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 1 |
About Danitza Nébor
Danitza Nébor is a scholar working on Genetics, Hematology, Physiology, Infectious Diseases and Molecular Biology, having authored 13 papers that have together received 358 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (11 papers), Erythrocyte Function and Pathophysiology (4 papers), Kruppel-like factors research (3 papers), Blood groups and transfusion (3 papers), Parvovirus B19 Infection Studies (3 papers), Iron Metabolism and Disorders (3 papers), Prenatal Screening and Diagnostics (2 papers) and Blood properties and coagulation (2 papers). The work is most often cited by research in Genetics (277 citations), Hematology (186 citations), Physiology (120 citations), Molecular Biology (112 citations) and Internal Medicine (6 citations). Danitza Nébor has collaborated with scholars based in Guadeloupe, France and United States. Frequent co-authors include Marc Romana, Jacques Élion, Marie‐Dominique Hardy‐Dessources, Philippe Connes, Marvin Reid, Vanessa Cumming, Jennifer Knight‐Madden, Olivier Hüe, Jean Barthélemy and H L Reid. Their work appears in journals such as Blood Cells Molecules and Diseases, Haematologica, Scientific Reports, Development and Frontiers in Physiology.
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.