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 2
- Co-authors
- Marc Romana (6 shared papers)Jacques Élion (6 shared papers)Philippe Connes (5 shared papers)Marie‐Dominique Hardy‐Dessources (6 shared papers)Vanessa Cumming (3 shared papers)Jennifer Knight‐Madden (3 shared papers)Marvin Reid (3 shared papers)Olivier Hüe (2 shared papers)
- Journals
- Haematologica (2 papers)Blood Cells Molecules and Diseases (2 papers)PLoS ONE (1 paper)Development (1 paper)Blood (1 paper)
- Partner nations
- GuadeloupeFranceUnited States
In The Last Decade
Danitza Nébor
13 papers receiving 367 citations
Peers
Comparison fields: 5 of 53
- Genetics 271
- Hematology 163
- Physiology 115
- Pulmonary and Respiratory Medicine 49
- Pediatrics, Perinatology and Child Health 28
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 | 92 | |
| 2 | 2013 | 55 | |
| 3 | 2010 | 44 | |
| 4 | 2014 | 39 | |
| 5 | 2016 | 34 | |
| 6 | 2010 | 27 | |
| 7 | 2011 | 20 | |
| 8 | 2017 | 19 | |
| 9 | 2010 | 16 | |
| 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 374 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), Blood properties and coagulation (2 papers), Prenatal Screening and Diagnostics (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Genetics (271 citations), Hematology (163 citations), Physiology (115 citations), Pulmonary and Respiratory Medicine (49 citations) and Pediatrics, Perinatology and Child Health (28 citations). Danitza Nébor has collaborated with scholars based in Guadeloupe, France and United States. Frequent co-authors include Marc Romana, Jacques Élion, Philippe Connes, Marie‐Dominique Hardy‐Dessources, Vanessa Cumming, Jennifer Knight‐Madden, Marvin Reid, Olivier Hüe, Jean Barthélemy and H L Reid. Their work appears in journals such as Haematologica, Blood Cells Molecules and Diseases, PLoS ONE, Development and Blood.
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.