Lipton Jm
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in ⓘ
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- Blood groups and transfusion 2
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- Erythrocyte Function and Pathophysiology 5
- Co-authors
- Adrianna Vlachos (2 shared papers)DG Nathan (3 shared papers)Noah Federman (2 shared papers)Jeremy S. Abramson (2 shared papers)L Guarini (1 shared paper)Soldano Ferrone (1 shared paper)Steven Arkin (1 shared paper)Yves Samson (1 shared paper)
- Journals
- Blood (2 papers)Leukemia (1 paper)Bone Marrow Transplantation (1 paper)PubMed (4 papers)
- Partner nations
- United StatesPuerto RicoCanada
In The Last Decade
Lipton Jm
9 papers receiving 304 citations
Peers
Comparison fields: 5 of 53
- Hematology 140
- Immunology and Allergy 29
- Genetics 49
- Pediatrics, Perinatology and Child Health 84
- Public Health, Environmental and Occupational Health 121
Countries citing papers authored by Lipton Jm
This map shows the geographic impact of Lipton Jm'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 Lipton Jm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lipton Jm more than expected).
Fields of papers citing papers by Lipton Jm
This network shows the impact of papers produced by Lipton Jm. 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 Lipton Jm. The network helps show where Lipton Jm may publish in the future.
Co-authors
The 18 scholars most cited alongside Lipton Jm, 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 | 2000 | 121 | |
| 2 | 2001 | 68 | |
| 3 | 1991 | 63 | |
| 4 | 1981 | 29 | |
| 5 | Response of three classes of human erythroid progenitors to the absence of erythropoietin in vitro as a measure of progenitor maturity. | 1981 | 24 |
| 6 | Cell-cell interactions in in vitro erythropoiesis. | 1980 | 8 |
| 7 | Diamond-Blackfan anaemia Hematopoietic stem cell transplantation for Diamond Blackfan anemia: a report from the Diamond Blackfan Anemia Registry | 2001 | 3 |
| 8 | The role of T lymphocytes in human erythropoiesis. | 1981 | 3 |
| 9 | Genetic restriction in the suppression of erythropoiesis and the role of Ia-like antigens in progenitor differentiation. | 1985 | 1 |
About Lipton Jm
Lipton Jm is a scholar working on Hematology, Physiology, Genetics, Public Health, Environmental and Occupational Health and Neurology, having authored 9 papers that have together received 320 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (5 papers), Blood groups and transfusion (2 papers), Blood disorders and treatments (2 papers), Acute Lymphoblastic Leukemia research (2 papers), RNA modifications and cancer (2 papers), Cancer-related gene regulation (2 papers), Epigenetics and DNA Methylation (2 papers) and Blood properties and coagulation (1 paper). The work is most often cited by research in Hematology (140 citations), Immunology and Allergy (29 citations), Genetics (49 citations), Pediatrics, Perinatology and Child Health (84 citations) and Public Health, Environmental and Occupational Health (121 citations). Lipton Jm has collaborated with scholars based in United States, Puerto Rico and Canada. Frequent co-authors include Adrianna Vlachos, DG Nathan, Noah Federman, Jeremy S. Abramson, L Guarini, Soldano Ferrone, Steven Arkin, Yves Samson, Albert Moghrabi and Lieven Declerck. Their work appears in journals such as Blood, Leukemia, Bone Marrow Transplantation and PubMed.
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.