Beth A. Pitel
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Genomic variations and chromosomal abnormalities
- Chronic Lymphocytic Leukemia Research
- Genomics and Rare Diseases
Papers in
- Hematology 20
- Acute Myeloid Leukemia Research 15
- Chronic Myeloid Leukemia Treatments 9
- Genetics 10
- Chronic Lymphocytic Leukemia Research 6
- Genomic variations and chromosomal abnormalities 4
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Co-authors
- Linda B. BaughnJames B. SmadbeckNicole L. HoppmanGeorge VasmatzisPatricia T. GreippJess F. PetersonRhett P. KetterlingStephanie A. Smoley
- Journals
- Genes Chromosomes and Cancer (4 papers)Blood Advances (3 papers)Molecular Case Studies (3 papers)Archives of Pathology & Laboratory Medicine (2 papers)JAMA Network Open (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Beth A. Pitel
34 papers receiving 437 citations
Peers
Comparison fields: 5 of 47
- Hematology 170
- Genetics 81
- Cancer Research 105
- Rheumatology 62
- Genetics 105
Countries citing papers authored by Beth A. Pitel
This map shows the geographic impact of Beth A. Pitel'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 Beth A. Pitel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth A. Pitel more than expected).
Fields of papers citing papers by Beth A. Pitel
This network shows the impact of papers produced by Beth A. Pitel. 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 Beth A. Pitel. The network helps show where Beth A. Pitel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Beth A. Pitel, 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 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 65 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 2 | |
| 13 | 2020 | 4 | |
| 14 | 2019 | 29 | |
| 15 | 2019 | 15 | |
| 16 | 2019 | 7 | |
| 17 | 2019 | 10 | |
| 18 | 2018 | 6 | |
| 19 | 2018 | 8 | |
| 20 | 2017 | 61 |
About Beth A. Pitel
Beth A. Pitel is a scholar working on Hematology, Genetics, Cancer Research, Rheumatology and Public Health, Environmental and Occupational Health, having authored 37 papers that have together received 442 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Chronic Myeloid Leukemia Treatments (9 papers), Acute Lymphoblastic Leukemia research (8 papers), Cancer Genomics and Diagnostics (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Epigenetics and DNA Methylation (5 papers), Genomic variations and chromosomal abnormalities (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). The work is most often cited by research in Hematology (170 citations), Genetics (81 citations), Cancer Research (105 citations), Rheumatology (62 citations) and Genetics (105 citations). Beth A. Pitel has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Linda B. Baughn, James B. Smadbeck, Nicole L. Hoppman, George Vasmatzis, Patricia T. Greipp, Jess F. Peterson, Rhett P. Ketterling, Stephanie A. Smoley, Hutton M. Kearney and Kathryn E. Pearce. Their work appears in journals such as Genes Chromosomes and Cancer, Blood Advances, Molecular Case Studies, Archives of Pathology & Laboratory Medicine and JAMA Network Open.
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.