David Allsup
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Physiology top 10%
- Nitric Oxide and Endothelin Effects
- Telomeres, Telomerase, and Senescence
- Adenosine and Purinergic Signaling
Papers in
- Genetics 39
- Chronic Lymphocytic Leukemia Research 37
-
- Lymphoma Diagnosis and Treatment 17
- Co-authors
- James R Bailey (8 shared papers)John C. Cawley (6 shared papers)Lynn Cawkwell (5 shared papers)Joseph R. Slupsky (3 shared papers)Ke Lin (3 shared papers)Mirko Zuzel (3 shared papers)Aura S. Kamiguti (2 shared papers)Elena Kashuba (2 shared papers)
- Journals
- Blood (8 papers)Cancers (4 papers)Leukemia Research (2 papers)Journal of Materials Chemistry B (2 papers)Leukemia (2 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
David Allsup
49 papers receiving 640 citations
Peers
Comparison fields: 5 of 86
- Genetics 232
- Physiology 48
- Hematology 89
- Immunology 159
- Pathology and Forensic Medicine 117
Countries citing papers authored by David Allsup
This map shows the geographic impact of David Allsup'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 David Allsup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Allsup more than expected).
Fields of papers citing papers by David Allsup
This network shows the impact of papers produced by David Allsup. 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 David Allsup. The network helps show where David Allsup may publish in the future.
Co-authors
The 25 scholars most cited alongside David Allsup, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 104 | |
| 2 | 2014 | 66 | |
| 3 | 2013 | 58 | |
| 4 | 1990 | 58 | |
| 5 | 2005 | 49 | |
| 6 | 2017 | 37 | |
| 7 | 2017 | 26 | |
| 8 | 2006 | 23 | |
| 9 | 2017 | 22 | |
| 10 | 2010 | 21 | |
| 11 | 2018 | 19 | |
| 12 | 2002 | 14 | |
| 13 | 2017 | 13 | |
| 14 | 2017 | 13 | |
| 15 | 2013 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2004 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2013 | 8 | |
| 20 | 2023 | 8 |
About David Allsup
David Allsup is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Oncology and Hematology, having authored 58 papers that have together received 647 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (37 papers), Lymphoma Diagnosis and Treatment (17 papers), Immunodeficiency and Autoimmune Disorders (10 papers), Advanced Breast Cancer Therapies (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Microfluidic and Bio-sensing Technologies (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Genetics (232 citations), Physiology (48 citations), Hematology (89 citations), Immunology (159 citations) and Pathology and Forensic Medicine (117 citations). David Allsup has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include James R Bailey, John C. Cawley, Lynn Cawkwell, Joseph R. Slupsky, Ke Lin, Mirko Zuzel, Aura S. Kamiguti, Elena Kashuba, R. J. C. Harris and Karl‐Heinz Krause. Their work appears in journals such as Blood, Cancers, Leukemia Research, Journal of Materials Chemistry B and Leukemia.
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.