Keith R. Loeb
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Hematology 16
- Acute Myeloid Leukemia Research 11
- Hematopoietic Stem Cell Transplantation 5
- Genetics 9
- Virus-based gene therapy research 5
- Chronic Lymphocytic Leukemia Research 5
- Co-authors
- Lawrence A. LoebArthur L. HaasJon P. AndersonBruce E. ClurmanLawrence D. TrueJason H. BielasBrian P. RubinCarol H. Miao
- Journals
- Blood (7 papers)Blood Advances (5 papers)Proceedings of the National Academy of Sciences (4 papers)Biology of Blood and Marrow Transplantation (3 papers)Human Gene Therapy (2 papers)
- Partner nations
- United StatesSouth AfricaGermany
In The Last Decade
Keith R. Loeb
51 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Hematology 547
- Cancer Research 578
- Oncology 1.0k
- Immunology 751
- Molecular Biology 1.9k
Countries citing papers authored by Keith R. Loeb
This map shows the geographic impact of Keith R. 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 Keith R. Loeb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith R. Loeb more than expected).
Fields of papers citing papers by Keith R. Loeb
This network shows the impact of papers produced by Keith R. 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 Keith R. Loeb. The network helps show where Keith R. Loeb may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith R. 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 | 2023 | 12 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 7 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 4 | |
| 6 | 2019 | 16 | |
| 7 | 2019 | 11 | |
| 8 | 2019 | 6 | |
| 9 | 2018 | 6 | |
| 10 | 2017 | 13 | |
| 11 | 2014 | 27 | |
| 12 | 2013 | 33 | |
| 13 | 2011 | 11 | |
| 14 | 2010 | 81 | |
| 15 | 2003 | 302 | |
| 16 | 2001 | 151 | |
| 17 | 2000 | 142 | |
| 18 | 1995 | 17 | |
| 19 | 1988 | 141 | |
| 20 | 1987 | 1 |
About Keith R. Loeb
Keith R. Loeb is a scholar working on Hematology, Genetics, Oncology, Cancer Research and Immunology, having authored 53 papers that have together received 3.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Ultrasound and Hyperthermia Applications (7 papers), Acute Lymphoblastic Leukemia research (7 papers), Cancer Genomics and Diagnostics (6 papers), Virus-based gene therapy research (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Ubiquitin and proteasome pathways (5 papers) and Hematopoietic Stem Cell Transplantation (5 papers). The work is most often cited by research in Hematology (547 citations), Cancer Research (578 citations), Oncology (1.0k citations), Immunology (751 citations) and Molecular Biology (1.9k citations). Keith R. Loeb has collaborated with scholars based in United States, South Africa and Germany. Frequent co-authors include Lawrence A. Loeb, Arthur L. Haas, Jon P. Anderson, Bruce E. Clurman, Lawrence D. True, Jason H. Bielas, Brian P. Rubin, Carol H. Miao, Markus Welcker and A L Haas. Their work appears in journals such as Blood, Blood Advances, Proceedings of the National Academy of Sciences, Biology of Blood and Marrow Transplantation and Human Gene Therapy.
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.