Harvey A. Greisman
- Oncology top 5%
- CAR-T cell therapy research 2
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 6
- Genomic variations and chromosomal abnormalities 3
- Immunology top 5%
- T-cell and Retrovirus Studies 4
- Hematology top 5%
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 6
- Genomic variations and chromosomal abnormalities 3
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- Lymphoma Diagnosis and Treatment 11
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- Bacteriophages and microbial interactions 3
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- Acute Lymphoblastic Leukemia research 3
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- Glycosylation and Glycoproteins Research 2
- Co-authors
- Carl O. PaboBrent L. WoodStanley R. RiddellMichael C. JensenJohn M. PagelAjay K. GopalElizabeth RammScot A. Wolfe
- Cited by
- OncologyGeneticsImmunology
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Harvey A. Greisman
21 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Oncology 889
- Genetics 271
- Immunology 444
- Hematology 186
- Genetics 385
Countries citing papers authored by Harvey A. Greisman
This map shows the geographic impact of Harvey A. Greisman'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 Harvey A. Greisman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harvey A. Greisman more than expected).
Fields of papers citing papers by Harvey A. Greisman
This network shows the impact of papers produced by Harvey A. Greisman. 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 Harvey A. Greisman. The network helps show where Harvey A. Greisman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Harvey A. Greisman, 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 | 2015 | 15 | |
| 2 | 2014 | 4 | |
| 3 | 2013 | 30 | |
| 4 | 2012 | 50 | |
| 5 | 2012 | 176 | |
| 6 | 2011 | 17 | |
| 7 | 2011 | 10 | |
| 8 | 2011 | 13 | |
| 9 | 2011 | 133 | |
| 10 | 2010 | 210 | |
| 11 | Adoptive immunotherapy for indolent non-Hodgkin lymphoma and mantle cell lymphoma using genetically modified autologous CD20-specific T cellsbreakdown → | 2008 | 573 |
| 12 | 2008 | 2 | |
| 13 | 2007 | 12 | |
| 14 | 2007 | 3 | |
| 15 | 2003 | 47 | |
| 16 | 2001 | 41 | |
| 17 | 1999 | 148 | |
| 18 | 1997 | 281 | |
| 19 | 1996 | 49 | |
| 20 | 1995 | 19 |
About Harvey A. Greisman
Harvey A. Greisman is a scholar working on Genetics, Pathology and Forensic Medicine and Immunology, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (6 papers), T-cell and Retrovirus Studies (4 papers), Bacteriophages and microbial interactions (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Oncology (889 citations), Genetics (271 citations) and Immunology (444 citations). Harvey A. Greisman has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Carl O. Pabo, Brent L. Wood, Stanley R. Riddell, Michael C. Jensen, John M. Pagel, Ajay K. Gopal, Elizabeth Ramm, Scot A. Wolfe, Oliver W. Press and Jinjuan Wang. Their work appears in journals such as Science, New England Journal of Medicine 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.