A Monks
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 4
- Cancer-related Molecular Pathways 1
- Cancer Research top 10%
- Molecular Biology top 10%
- Cancer therapeutics and mechanisms 1
- Biochemical and Molecular Research 1
- Glycosylation and Glycoproteins Research 1
- RNA Interference and Gene Delivery 1
- Toxicology top 5%
- Biotechnology top 5%
- Cancer Research and Treatments 1
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- Pharmacogenetics and Drug Metabolism 2
- Co-authors
- John N. WeinsteinDominic A. ScudieroCurtis HoseK PaullMichael R. GreverSusan E. BatesSaijun FanStephen Friend
- Journals
- Journal of Clinical Investigation (1 paper)British Journal of Cancer (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- United StatesNetherlandsSpain
In The Last Decade
A Monks
7 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Oncology 892
- Cancer Research 199
- Molecular Biology 885
- Toxicology 40
- Biotechnology 95
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-authorship network
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 | The US-NCI cell based screen The role of target expression profiling in developmental therapeutics | 2003 | 1 |
| 2 | 2002 | 13 | |
| 3 | 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.breakdown → | 1997 | 760 |
| 4 | 1995 | 190 | |
| 5 | 1994 | 301 | |
| 6 | Multidrug-resistant phenotype of disease-oriented panels of human tumor cell lines used for anticancer drug screening. | 1992 | 144 |
| 7 | Reproducibility and response patterns of the ic50 values and relative cell line sensitivities from the nci human tumor cell line drug screening project | 1988 | 3 |
About A Monks
A Monks is a scholar working on Pharmacology, Oncology, Biophysics, Biochemistry and Biotechnology, having authored 7 papers that have together received 1.4k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (4 papers), Pharmacogenetics and Drug Metabolism (2 papers), Cancer therapeutics and mechanisms (1 paper), Biochemical and Molecular Research (1 paper), Glycosylation and Glycoproteins Research (1 paper), RNA Interference and Gene Delivery (1 paper), Cancer-related Molecular Pathways (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Oncology (892 citations), Cancer Research (199 citations), Molecular Biology (885 citations), Toxicology (40 citations) and Biotechnology (95 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, Saijun Fan, Stephen Friend, Edward A. Sausville and Kurt W. Kohn. Their work appears in journals such as Journal of Clinical Investigation, British Journal of Cancer, 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.