Bayard D. Clarkson
- Molecular Biology top 2%
- Hematology top 0.2%
- Oncology top 1%
- Genetics top 0.2%
- Public Health, Environmental and Occupational Health top 1%
- Co-authors
- Renato BasergaA StrifeToby GeeJerrold FriedDarren R. VeachDavid WisniewskiWilliam G. BornmannBenjamín Koziner
- Topics
- Chronic Lymphocytic Leukemia Research (44 papers)Chronic Myeloid Leukemia Treatments (32 papers)Acute Myeloid Leukemia Research (31 papers)
- Cited by
- HematologyGeneticsOncology
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Bayard D. Clarkson
156 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 3.3k
- Hematology 3.1k
- Oncology 2.3k
- Genetics 1.8k
- Public Health, Environmental and Occupational Health 1.4k
Countries citing papers authored by Bayard D. Clarkson
This map shows the geographic impact of Bayard D. Clarkson'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 Bayard D. Clarkson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bayard D. Clarkson more than expected).
Fields of papers citing papers by Bayard D. Clarkson
This network shows the impact of papers produced by Bayard D. Clarkson. 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 Bayard D. Clarkson. The network helps show where Bayard D. Clarkson may publish in the future.
Co-authorship network of co-authors of Bayard D. Clarkson
This figure shows the co-authorship network connecting the top 25 collaborators of Bayard D. Clarkson. A scholar is included among the top collaborators of Bayard D. Clarkson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bayard D. Clarkson. Bayard D. Clarkson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 5 | |
| 3 | 69 | |
| 4 | 186 | |
| 5 | 40 | |
| 6 | 45 | |
| 7 | Combination of hematopoietic growth factors containing IL-3 induce acute myeloid leukemia cell sensitization to cycle specific and cycle non-specific drugs. | 23 |
| 8 | 396 | |
| 9 | 10 | |
| 10 | 37 | |
| 11 | 41 | |
| 12 | 6 | |
| 13 | 20 | |
| 14 | 9 | |
| 15 | 31 | |
| 16 | 17 | |
| 17 | 17 | |
| 18 | 7 | |
| 19 | Differentiation of normal and neoplastic hematopoietic cells | 325 |
| 20 | Control of proliferation in animal cellsbreakdown → | 960 |
About Bayard D. Clarkson
Bayard D. Clarkson is a scholar working on Hematology, Genetics and Oncology, having authored 156 papers that have together received 9.4k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (44 papers), Chronic Myeloid Leukemia Treatments (32 papers) and Acute Myeloid Leukemia Research (31 papers). The work is most often cited by research in Hematology (3.1k citations), Genetics (1.8k citations) and Oncology (2.3k citations). Bayard D. Clarkson has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Renato Baserga, A Strife, Toby Gee, Jerrold Fried, Darren R. Veach, David Wisniewski, William G. Bornmann, Benjamín Koziner, Paul A. Marks and J. E. Till. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.
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.