Lynne V. Abruzzo
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research 86
- Myeloproliferative Neoplasms: Diagnosis and Treatment 15
- Pathology and Forensic Medicine top 0.2%
- Lymphoma Diagnosis and Treatment 75
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments 43
- Acute Myeloid Leukemia Research 40
- Oncology top 0.5%
- Viral-associated cancers and disorders 20
- Immunology top 1%
- Immunodeficiency and Autoimmune Disorders 32
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- Eosinophilic Disorders and Syndromes 17
- Co-authors
- L. Austin DoyleWeidong YangL. Jeffrey MedeirosTammy KrogmannDouglas D. RossArun K. RishiMichael J. KeatingDonald A. Rowley
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Lynne V. Abruzzo
182 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Genetics 2.6k
- Pathology and Forensic Medicine 2.6k
- Hematology 1.5k
- Oncology 3.2k
- Immunology 1.6k
Countries citing papers authored by Lynne V. Abruzzo
This map shows the geographic impact of Lynne V. Abruzzo'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 Lynne V. Abruzzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynne V. Abruzzo more than expected).
Fields of papers citing papers by Lynne V. Abruzzo
This network shows the impact of papers produced by Lynne V. Abruzzo. 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 Lynne V. Abruzzo. The network helps show where Lynne V. Abruzzo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lynne V. Abruzzo, 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 | 2021 | 2 | |
| 2 | 2021 | 15 | |
| 3 | 2021 | 31 | |
| 4 | 2021 | 0 | |
| 5 | 2019 | 8 | |
| 6 | 2014 | 10 | |
| 7 | 2013 | 41 | |
| 8 | 2012 | 19 | |
| 9 | 2011 | 63 | |
| 10 | 2010 | 17 | |
| 11 | 2009 | 114 | |
| 12 | 2008 | 13 | |
| 13 | 2007 | 26 | |
| 14 | 2007 | 23 | |
| 15 | 2003 | 89 | |
| 16 | 2001 | 7 | |
| 17 | 1999 | 284 | |
| 18 | 1998 | 24 | |
| 19 | 1994 | 45 | |
| 20 | In vitro and in vivo interaction between murine fibrosarcoma cells and natural killer cells. | 1986 | 8 |
About Lynne V. Abruzzo
Lynne V. Abruzzo is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine, having authored 185 papers that have together received 8.0k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (86 papers), Lymphoma Diagnosis and Treatment (75 papers), Chronic Myeloid Leukemia Treatments (43 papers), Acute Myeloid Leukemia Research (40 papers), Immunodeficiency and Autoimmune Disorders (32 papers), Viral-associated cancers and disorders (20 papers), Eosinophilic Disorders and Syndromes (17 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (15 papers). The work is most often cited by research in Genetics (2.6k citations), Pathology and Forensic Medicine (2.6k citations) and Hematology (1.5k citations). Lynne V. Abruzzo has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include L. Austin Doyle, Weidong Yang, L. Jeffrey Medeiros, Tammy Krogmann, Douglas D. Ross, Arun K. Rishi, Michael J. Keating, Donald A. Rowley, Kevin R. Coombes and Hagop M. Kantarjian. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.