Patricia T. Greipp
- Hematology top 1%
- Acute Myeloid Leukemia Research 48
- Chronic Myeloid Leukemia Treatments 32
- Multiple Myeloma Research and Treatments 18
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 23
- Chronic Lymphocytic Leukemia Research 14
- Oncology top 5%
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- Lymphoma Diagnosis and Treatment 15
- Cancer Research top 10%
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- Acute Lymphoblastic Leukemia research 22
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- Sarcoma Diagnosis and Treatment 13
- Co-authors
- Brian Van NessDaniel D. BilladeauGregory AhmannMM OkenPrashant KapoorS. Vincent RajkumarRondell P. GrahamSara M. Kloft‐Nelson
- Cited by
- HematologyGeneticsOncology
- Journals
- The Journal of Experimental Medicine (1 paper)Journal of Clinical Oncology (4 papers)SHILAP Revista de lepidopterología (3 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Patricia T. Greipp
128 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 87
- Hematology 972
- Genetics 437
- Oncology 631
- Pathology and Forensic Medicine 407
- Cancer Research 247
Countries citing papers authored by Patricia T. Greipp
This map shows the geographic impact of Patricia T. Greipp'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 Patricia T. Greipp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia T. Greipp more than expected).
Fields of papers citing papers by Patricia T. Greipp
This network shows the impact of papers produced by Patricia T. Greipp. 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 Patricia T. Greipp. The network helps show where Patricia T. Greipp may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patricia T. Greipp, 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 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 12 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 22 | |
| 9 | 2021 | 30 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 27 | |
| 12 | 2019 | 38 | |
| 13 | 2019 | 9 | |
| 14 | 2019 | 29 | |
| 15 | 2019 | 81 | |
| 16 | 2018 | 24 | |
| 17 | 2018 | 7 | |
| 18 | 2018 | 1 | |
| 19 | 2015 | 114 | |
| 20 | Chemical classification of hereditary amyloidosis in Brazilian families and identification of gene carriers. | 1986 | 9 |
About Patricia T. Greipp
Patricia T. Greipp is a scholar working on Hematology, Genetics and Oncology, having authored 142 papers that have together received 2.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (48 papers), Chronic Myeloid Leukemia Treatments (32 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (23 papers), Acute Lymphoblastic Leukemia research (22 papers), Multiple Myeloma Research and Treatments (18 papers), Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (14 papers) and Sarcoma Diagnosis and Treatment (13 papers). The work is most often cited by research in Hematology (972 citations), Genetics (437 citations) and Oncology (631 citations). Patricia T. Greipp has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Brian Van Ness, Daniel D. Billadeau, Gregory Ahmann, MM Oken, Prashant Kapoor, S. Vincent Rajkumar, Rondell P. Graham, Sara M. Kloft‐Nelson, Philip R. Greipp and Darlene L. Knutson. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.