Ann S. LaCasce
- Pathology and Forensic Medicine top 0.05%
- Lymphoma Diagnosis and Treatment 152
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research 59
- Oncology top 0.5%
- Viral-associated cancers and disorders 51
- CAR-T cell therapy research 24
- Neurology top 0.5%
- CNS Lymphoma Diagnosis and Treatment 46
- Hematology top 1%
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- Lung Cancer Treatments and Mutations 23
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- Acute Lymphoblastic Leukemia research 14
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- Medical Imaging Techniques and Applications 11
- Co-authors
- Jonathan W. FriedbergJohn P. LeonardJulie M. VoseMyron S. CzuczmanMargaret A. ShippPhilippe ArmandGregory A. AbelDavid C. Fisher
- Journals
- Journal of Clinical Oncology (19 papers)SHILAP Revista de lepidopterología (1 paper)Blood (75 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Ann S. LaCasce
201 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Pathology and Forensic Medicine 5.0k
- Genetics 2.3k
- Oncology 3.5k
- Neurology 1.6k
- Hematology 831
Countries citing papers authored by Ann S. LaCasce
This map shows the geographic impact of Ann S. LaCasce'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 Ann S. LaCasce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann S. LaCasce more than expected).
Fields of papers citing papers by Ann S. LaCasce
This network shows the impact of papers produced by Ann S. LaCasce. 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 Ann S. LaCasce. The network helps show where Ann S. LaCasce may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ann S. LaCasce, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 16 | |
| 7 | 2021 | 21 | |
| 8 | 2021 | 116 | |
| 9 | 2017 | 230 | |
| 10 | 2017 | 7 | |
| 11 | 2017 | 2 | |
| 12 | 2017 | 8 | |
| 13 | Initial Results of a Phase Ib Study of Ibrutinib in Combination with Obinutuzumab in Patients with Relapsed or Refractory Chronic Lymphocytic Leukemia | 2017 | 1 |
| 14 | 2016 | 23 | |
| 15 | 2015 | 43 | |
| 16 | 2014 | 20 | |
| 17 | 2014 | 27 | |
| 18 | 2011 | 100 | |
| 19 | 2010 | 39 | |
| 20 | 2008 | 80 |
About Ann S. LaCasce
Ann S. LaCasce is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology, having authored 208 papers that have together received 7.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (152 papers), Chronic Lymphocytic Leukemia Research (59 papers), Viral-associated cancers and disorders (51 papers), CNS Lymphoma Diagnosis and Treatment (46 papers), CAR-T cell therapy research (24 papers), Lung Cancer Treatments and Mutations (23 papers), Acute Lymphoblastic Leukemia research (14 papers) and Medical Imaging Techniques and Applications (11 papers). The work is most often cited by research in Pathology and Forensic Medicine (5.0k citations), Genetics (2.3k citations) and Oncology (3.5k citations). Ann S. LaCasce has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jonathan W. Friedberg, John P. Leonard, Julie M. Vose, Myron S. Czuczman, Margaret A. Shipp, Philippe Armand, Gregory A. Abel, David C. Fisher, Donna Neuberg and Jennifer L. Crombie. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.