Tucker W. LeBien
- Hematology top 0.2%
- Immunology top 0.5%
- T-cell and B-cell Immunology 39
- Immunodeficiency and Autoimmune Disorders 31
- Immunotherapy and Immune Responses 22
- Immune Cell Function and Interaction 21
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 29
- Immunology and Allergy top 1%
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- Monoclonal and Polyclonal Antibodies Research 35
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- Acute Lymphoblastic Leukemia research 34
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- Lymphoma Diagnosis and Treatment 16
- Co-authors
- Thomas F. TedderJH KerseyJohn H. KerseyNisha ShahR J McCormackJeffrey L. PlattJun MinowadaL J Jarvis
- Cited by
- HematologyImmunologyGenetics
- Journals
- Science (1 paper)New England Journal of Medicine (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Tucker W. LeBien
137 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Hematology 2.1k
- Immunology 3.5k
- Genetics 1.3k
- Immunology and Allergy 585
- Radiology, Nuclear Medicine and Imaging 1.2k
Countries citing papers authored by Tucker W. LeBien
This map shows the geographic impact of Tucker W. LeBien'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 Tucker W. LeBien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tucker W. LeBien more than expected).
Fields of papers citing papers by Tucker W. LeBien
This network shows the impact of papers produced by Tucker W. LeBien. 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 Tucker W. LeBien. The network helps show where Tucker W. LeBien may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tucker W. LeBien, 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 | 2019 | 12 | |
| 2 | 2009 | 43 | |
| 3 | 2005 | 56 | |
| 4 | 2003 | 8 | |
| 5 | 2002 | 0 | |
| 6 | 2001 | 15 | |
| 7 | 1999 | 41 | |
| 8 | 1995 | 10 | |
| 9 | 1995 | 80 | |
| 10 | 1994 | 15 | |
| 11 | 1993 | 54 | |
| 12 | 1991 | 44 | |
| 13 | 1990 | 38 | |
| 14 | 1990 | 4 | |
| 15 | 1989 | 107 | |
| 16 | 1988 | 25 | |
| 17 | 1983 | 133 | |
| 18 | 1982 | 145 | |
| 19 | 1981 | 300 | |
| 20 | Childhood leukemia-lymphoma. Heterogeneity of phenotypes and prognoses. | 1979 | 26 |
About Tucker W. LeBien
Tucker W. LeBien is a scholar working on Immunology, Genetics and Hematology, having authored 139 papers that have together received 7.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (39 papers), Monoclonal and Polyclonal Antibodies Research (35 papers), Acute Lymphoblastic Leukemia research (34 papers), Immunodeficiency and Autoimmune Disorders (31 papers), Chronic Lymphocytic Leukemia Research (29 papers), Immunotherapy and Immune Responses (22 papers), Immune Cell Function and Interaction (21 papers) and Lymphoma Diagnosis and Treatment (16 papers). The work is most often cited by research in Hematology (2.1k citations), Immunology (3.5k citations) and Genetics (1.3k citations). Tucker W. LeBien has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Thomas F. Tedder, JH Kersey, John H. Kersey, Nisha Shah, R J McCormack, Jeffrey L. Platt, Jun Minowada, L J Jarvis, John Kersey and Samuel J. Pirruccello. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.