Lipton Jm
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Erythrocyte Function and Pathophysiology 5
-
- Blood groups and transfusion 2
- Co-authors
- Noah C. Federman (2 shared papers)Jeremy S. Abramson (2 shared papers)Adrianna Vlachos (2 shared papers)DG Nathan (3 shared papers)Soldano Ferrone (1 shared paper)Steven Arkin (1 shared paper)SE Sallan (1 shared paper)LA Clavell (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 329 citations
Peers
Comparison fields: 5 of 51
- Hematology 150
- Immunology and Allergy 29
- Public Health, Environmental and Occupational Health 134
- Genetics 48
- Pediatrics, Perinatology and Child Health 77
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 17 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 | 143 | |
| 2 | 2001 | 80 | |
| 3 | 1991 | 63 | |
| 4 | 1981 | 34 | |
| 5 | Response of three classes of human erythroid progenitors to the absence of erythropoietin in vitro as a measure of progenitor maturity. | 1981 | 29 |
| 6 | Cell-cell interactions in in vitro erythropoiesis. | 1980 | 8 |
| 7 | The role of T lymphocytes in human erythropoiesis. | 1981 | 4 |
| 8 | Diamond-Blackfan anaemia Hematopoietic stem cell transplantation for Diamond Blackfan anemia: a report from the Diamond Blackfan Anemia Registry | 2001 | 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 Physiology, Hematology, Genetics, Public Health, Environmental and Occupational Health and Neurology, having authored 9 papers that have together received 365 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (5 papers), RNA modifications and cancer (2 papers), Blood groups and transfusion (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Cancer-related gene regulation (2 papers), Epigenetics and DNA Methylation (2 papers), Blood disorders and treatments (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hematology (150 citations), Immunology and Allergy (29 citations), Public Health, Environmental and Occupational Health (134 citations), Genetics (48 citations) and Pediatrics, Perinatology and Child Health (77 citations). Lipton Jm has collaborated with scholars based in United States, Puerto Rico and Canada. Frequent co-authors include Noah C. Federman, Jeremy S. Abramson, Adrianna Vlachos, DG Nathan, Soldano Ferrone, Steven Arkin, SE Sallan, LA Clavell, Lieven Declerck and RD Barr. 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.