A Monks
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Drug Transport and Resistance Mechanisms
- Cancer Research top 10%
Papers in
- Oncology 5
- Drug Transport and Resistance Mechanisms 4
-
- Glycosylation and Glycoproteins Research 1
- Epigenetics and DNA Methylation 1
- Biochemical and Molecular Research 1
- Co-authors
- John N. Weinstein (2 shared papers)Dominic A. Scudiero (3 shared papers)Curtis Hose (3 shared papers)K Paull (2 shared papers)Michael R. Grever (2 shared papers)Susan E. Bates (2 shared papers)I Bae (1 shared paper)Kurt W. Kohn (1 shared paper)
- Journals
- British Journal of Cancer (1 paper)Journal of Clinical Investigation (1 paper)Molecular Pharmacology (1 paper)PubMed (2 papers)
- Partner nations
- United StatesNetherlandsSpain
In The Last Decade
A Monks
7 papers receiving 1.4k citations
A Monks's Hit Papers
Peers
Comparison fields: 5 of 87
- Oncology 823
- Cancer Research 182
- Toxicology 41
- Molecular Biology 835
- Biotechnology 90
Countries citing papers authored by A Monks
This map shows the geographic impact of A Monks'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 A Monks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Monks more than expected).
Fields of papers citing papers by A Monks
This network shows the impact of papers produced by A Monks. 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 A Monks. The network helps show where A Monks may publish in the future.
Co-authors
The 25 scholars most cited alongside A Monks, 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 | Characterization of the p53 tumor suppressor pathway in cell lines of the National Cancer Institute anticancer drug screen and correlations with the growth-inhibitory potency of 123 anticancer agents. Hit paper breakdown → | 1997 | 777 |
| 2 | 1994 | 309 | |
| 3 | 1995 | 199 | |
| 4 | Multidrug-resistant phenotype of disease-oriented panels of human tumor cell lines used for anticancer drug screening. | 1992 | 148 |
| 5 | 2002 | 13 | |
| 6 | Reproducibility and response patterns of the ic50 values and relative cell line sensitivities from the nci human tumor cell line drug screening project | 1988 | 4 |
| 7 | The US-NCI cell based screen The role of target expression profiling in developmental therapeutics | 2003 | 1 |
About A Monks
A Monks is a scholar working on Oncology, Molecular Biology, Pharmacology, Computational Theory and Mathematics and Biotechnology, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (4 papers), Pharmacogenetics and Drug Metabolism (2 papers), Cancer Research and Treatments (1 paper), Glycosylation and Glycoproteins Research (1 paper), Computational Drug Discovery Methods (1 paper), Epigenetics and DNA Methylation (1 paper), Biochemical and Molecular Research (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Oncology (823 citations), Cancer Research (182 citations), Toxicology (41 citations), Molecular Biology (835 citations) and Biotechnology (90 citations). A Monks has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include John N. Weinstein, Dominic A. Scudiero, Curtis Hose, K Paull, Michael R. Grever, Susan E. Bates, I Bae, Kurt W. Kohn, Saijun Fan and Edward A. Sausville. Their work appears in journals such as British Journal of Cancer, Journal of Clinical Investigation, Molecular Pharmacology and PubMed.
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.