David M. Loeb
Impact in
- Oncology top 2%
- CAR-T cell therapy research
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Hematology 24
- Hematopoietic Stem Cell Transplantation 17
- Acute Myeloid Leukemia Research 10
- Oncology 50
- CAR-T cell therapy research 11
- Co-authors
- Lloyd A. GreeneDavid R. KaplanRobert M. StephensTerry D. CopelandTony PawsonGregory McCartySaraswati SukumarMasanori Hayashi
- Journals
- Pediatric Blood & Cancer (11 papers)Biology of Blood and Marrow Transplantation (10 papers)Journal of Clinical Oncology (9 papers)Blood (8 papers)Journal of Pediatric Hematology/Oncology (7 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
David M. Loeb
135 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 123
- Oncology 1.2k
- Cancer Research 620
- Cellular and Molecular Neuroscience 711
- Pulmonary and Respiratory Medicine 1.3k
- Developmental Neuroscience 154
Countries citing papers authored by David M. Loeb
This map shows the geographic impact of David M. Loeb'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 David M. Loeb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Loeb more than expected).
Fields of papers citing papers by David M. Loeb
This network shows the impact of papers produced by David M. Loeb. 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 David M. Loeb. The network helps show where David M. Loeb may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David M. Loeb, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 20 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 31 | |
| 14 | 2015 | 9 | |
| 15 | 2015 | 6 | |
| 16 | 2014 | 40 | |
| 17 | 2013 | 35 | |
| 18 | 2011 | 4 | |
| 19 | 2010 | 16 | |
| 20 | 2006 | 46 |
About David M. Loeb
David M. Loeb is a scholar working on Hematology, Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Cancer Research, having authored 142 papers that have together received 4.6k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (37 papers), Renal and related cancers (19 papers), Hematopoietic Stem Cell Transplantation (17 papers), Cancer Genomics and Diagnostics (11 papers), CAR-T cell therapy research (11 papers), Acute Lymphoblastic Leukemia research (11 papers), Acute Myeloid Leukemia Research (10 papers) and Neuroblastoma Research and Treatments (10 papers). The work is most often cited by research in Oncology (1.2k citations), Cancer Research (620 citations), Cellular and Molecular Neuroscience (711 citations), Pulmonary and Respiratory Medicine (1.3k citations) and Developmental Neuroscience (154 citations). David M. Loeb has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Lloyd A. Greene, David R. Kaplan, Robert M. Stephens, Terry D. Copeland, Tony Pawson, Gregory McCarty, Saraswati Sukumar, Masanori Hayashi, Dorian Korz and Ella Evron. Their work appears in journals such as Pediatric Blood & Cancer, Biology of Blood and Marrow Transplantation, Journal of Clinical Oncology, Blood and Journal of Pediatric Hematology/Oncology.
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.