Ken Paull
Impact in
- Oncology top 5%
- Drug Transport and Resistance Mechanisms
- Metal complexes synthesis and properties
- Cancer Treatment and Pharmacology
- Toxicology top 2%
Papers in
- Oncology 6
- Drug Transport and Resistance Mechanisms 5
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- Pharmacogenetics and Drug Metabolism 2
- Co-authors
- Tito Fojo (3 shared papers)Michael R. Grever (3 shared papers)Susan E. Bates (6 shared papers)George F. Vande Woude (2 shared papers)Natalie G. Ahn (1 shared paper)Kurt R. Klimpel (1 shared paper)Nicholas S. Duesbery (1 shared paper)Kenji Fukasawa (1 shared paper)
- Journals
- Molecular Pharmacology (3 papers)JNCI Journal of the National Cancer Institute (3 papers)Science (1 paper)International Journal of Oncology (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesMalaysiaItaly
In The Last Decade
Ken Paull
13 papers receiving 2.4k citations
Ken Paull's Hit Papers
Peers
Comparison fields: 5 of 102
- Oncology 883
- Toxicology 114
- Biotechnology 250
- Molecular Biology 1.5k
- Virology 83
Countries citing papers authored by Ken Paull
This map shows the geographic impact of Ken Paull'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 Ken Paull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Paull more than expected).
Fields of papers citing papers by Ken Paull
This network shows the impact of papers produced by Ken Paull. 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 Ken Paull. The network helps show where Ken Paull may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Paull, 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 | Proteolytic Inactivation of MAP-Kinase-Kinase by Anthrax Lethal Factor Hit paper breakdown → | 1998 | 871 |
| 2 | 1996 | 532 | |
| 3 | 1994 | 314 | |
| 4 | 1996 | 219 | |
| 5 | 1997 | 209 | |
| 6 | 1995 | 200 | |
| 7 | 1998 | 47 | |
| 8 | 1999 | 31 | |
| 9 | 1994 | 12 | |
| 10 | 2000 | 9 | |
| 11 | Reversal of multidrug resistance. | 1994 | 5 |
| 12 | 1994 | 3 | |
| 13 | 1986 | 2 |
About Ken Paull
Ken Paull is a scholar working on Oncology, Pharmacology, Molecular Biology, Toxicology and Biotechnology, having authored 13 papers that have together received 2.5k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Cancer therapeutics and mechanisms (5 papers), Pharmacogenetics and Drug Metabolism (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Bacterial Genetics and Biotechnology (1 paper), Biochemical and Molecular Research (1 paper), Molecular Sensors and Ion Detection (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Oncology (883 citations), Toxicology (114 citations), Biotechnology (250 citations), Molecular Biology (1.5k citations) and Virology (83 citations). Ken Paull has collaborated with scholars based in United States, Malaysia and Italy. Frequent co-authors include Tito Fojo, Michael R. Grever, Susan E. Bates, George F. Vande Woude, Natalie G. Ahn, Kurt R. Klimpel, Nicholas S. Duesbery, Kenji Fukasawa, Valery M. Gordon and Craig Paul Webb. Their work appears in journals such as Molecular Pharmacology, JNCI Journal of the National Cancer Institute, Science, International Journal of Oncology and Journal of Clinical Investigation.
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.