Rhett P. Ketterling
- Hematology top 0.02%
- Acute Myeloid Leukemia Research 182
- Chronic Myeloid Leukemia Treatments 89
- Multiple Myeloma Research and Treatments 37
- Genetics top 0.02%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 137
- Chronic Lymphocytic Leukemia Research 48
- Rheumatology top 0.2%
- Eosinophilic Disorders and Syndromes 47
- Molecular Biology top 0.5%
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment 59
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- Acute Lymphoblastic Leukemia research 48
- Co-authors
- Ayalew TefferiTerra L. LashoAnimesh PardananiCurtis A. HansonChristy M. FinkeNaseema GangatRyan A. KnudsonMrinal M. Patnaik
- Cited by
- HematologyGeneticsRheumatology
- Partner nations
- United StatesItalyIsrael
In The Last Decade
Rhett P. Ketterling
387 papers receiving 14.2k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Hematology 9.1k
- Genetics 7.0k
- Rheumatology 2.5k
- Molecular Biology 6.6k
- Pathology and Forensic Medicine 1.4k
Countries citing papers authored by Rhett P. Ketterling
This map shows the geographic impact of Rhett P. Ketterling'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 Rhett P. Ketterling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rhett P. Ketterling more than expected).
Fields of papers citing papers by Rhett P. Ketterling
This network shows the impact of papers produced by Rhett P. Ketterling. 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 Rhett P. Ketterling. The network helps show where Rhett P. Ketterling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rhett P. Ketterling, 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 | 2022 | 4 | |
| 2 | 2022 | 6 | |
| 3 | 2021 | 22 | |
| 4 | 2021 | 7 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 7 | |
| 8 | 2019 | 10 | |
| 9 | 2018 | 8 | |
| 10 | 2018 | 11 | |
| 11 | 2018 | 21 | |
| 12 | 2018 | 93 | |
| 13 | 2018 | 179 | |
| 14 | 2018 | 20 | |
| 15 | 2017 | 56 | |
| 16 | 2017 | 56 | |
| 17 | 2014 | 27 | |
| 18 | 2013 | 126 | |
| 19 | 2010 | 182 | |
| 20 | 2009 | 34 |
About Rhett P. Ketterling
Rhett P. Ketterling is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 402 papers that have together received 14.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (182 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (137 papers), Chronic Myeloid Leukemia Treatments (89 papers), Lymphoma Diagnosis and Treatment (59 papers), Chronic Lymphocytic Leukemia Research (48 papers), Acute Lymphoblastic Leukemia research (48 papers), Eosinophilic Disorders and Syndromes (47 papers) and Multiple Myeloma Research and Treatments (37 papers). The work is most often cited by research in Hematology (9.1k citations), Genetics (7.0k citations) and Rheumatology (2.5k citations). Rhett P. Ketterling has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Ayalew Tefferi, Terra L. Lasho, Animesh Pardanani, Curtis A. Hanson, Christy M. Finke, Naseema Gangat, Ryan A. Knudson, Mrinal M. Patnaik, Mark R. Litzow and Gordon W. Dewald. Their work appears in journals such as Blood, American Journal of Hematology, Leukemia, Blood Cancer Journal and American Journal of Clinical Pathology.
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.