D G Nathan
- Hematology top 5%
- Molecular Biology
- Immunology
- Genetics top 10%
- Physiology
- Co-authors
- Eva C. GuinanTraci LeongBernard Mathey-PrévôtSusan G. KreissmanHedwig S. MurphyNancy C. AndrewsJeffrey M. LiptonGeorge P. Canellos
- Topics
- Erythrocyte Function and Pathophysiology (6 papers)Hemoglobinopathies and Related Disorders (4 papers)Hematopoietic Stem Cell Transplantation (3 papers)
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
D G Nathan
17 papers receiving 474 citations
Peers
Comparison fields: 5 of 63
- Hematology 249
- Molecular Biology 152
- Immunology 138
- Genetics 118
- Physiology 85
Countries citing papers authored by D G Nathan
This map shows the geographic impact of D G Nathan'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 D G Nathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D G Nathan more than expected).
Fields of papers citing papers by D G Nathan
This network shows the impact of papers produced by D G Nathan. 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 D G Nathan. The network helps show where D G Nathan may publish in the future.
Co-authorship network of co-authors of D G Nathan
This figure shows the co-authorship network connecting the top 25 collaborators of D G Nathan. A scholar is included among the top collaborators of D G Nathan 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 D G Nathan. D G Nathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 83 | |
| 3 | Hydroxyurea-induced HbF production in anemic primates: augmentation by erythropoietin, hematopoietic growth factors, and sodium butyrate. | 37 |
| 4 | The Jeremiah Metzger lecture. Regulation of hematopoiesis. | 1 |
| 5 | 77 | |
| 6 | 2 | |
| 7 | Analysis of high fetal hemoglobin production in sickle cell anemia patients from the Eastern Province of Saudi Arabia. | 3 |
| 8 | 65 | |
| 9 | 103 | |
| 10 | 28 | |
| 11 | Acquired aplastic anemias: pathophysiology and treatment. | 5 |
| 12 | 29 | |
| 13 | 19 | |
| 14 | 1 | |
| 15 | Bone marrow transplantation for an infant with neutrophil dysfunction. | 19 |
| 16 | 1 | |
| 17 | 9 |
About D G Nathan
D G Nathan is a scholar working on Hematology, Genetics and Physiology, having authored 17 papers that have together received 505 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (6 papers), Hemoglobinopathies and Related Disorders (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Hematology (249 citations), Genetics (118 citations) and Immunology (138 citations). D G Nathan has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Eva C. Guinan, Traci Leong, Bernard Mathey-Prévôt, Susan G. Kreissman, Hedwig S. Murphy, Nancy C. Andrews, Jeffrey M. Lipton, George P. Canellos, Carol Shoshkes Reiss and Lee M. Nadler. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation 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.