John E. Monahan
Impact in
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
- Oncology top 1%
- Cancer Cells and Metastasis
Papers in
-
- Cancer Genomics and Diagnostics 4
- Oncology 5
- Cancer Cells and Metastasis 3
- Cancer-related Molecular Pathways 2
- Co-authors
- David A. Ruddy (4 shared papers)William R. Sellers (3 shared papers)Daniel P. Rakiec (2 shared papers)Richard W. Hanson (2 shared papers)Heeja Yoo-Warren (2 shared papers)Shivang Doshi (1 shared paper)Ping Zhu (1 shared paper)Wenlai Zhou (1 shared paper)
- Journals
- Nature Medicine (3 papers)Cancer Discovery (3 papers)Nature (3 papers)PLoS ONE (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
John E. Monahan
19 papers receiving 9.8k citations
John E. Monahan's Hit Papers
Peers
Comparison fields: 5 of 115
- Cancer Research 1.7k
- Oncology 1.9k
- Computational Theory and Mathematics 1.1k
- Molecular Biology 3.6k
- Pulmonary and Respiratory Medicine 1.4k
Countries citing papers authored by John E. Monahan
This map shows the geographic impact of John E. Monahan'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 John E. Monahan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Monahan more than expected).
Fields of papers citing papers by John E. Monahan
This network shows the impact of papers produced by John E. Monahan. 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 John E. Monahan. The network helps show where John E. Monahan may publish in the future.
Co-authors
The 25 scholars most cited alongside John E. Monahan, 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 Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity Hit paper breakdown → | 2012 | 6239 |
| 2 | High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response Hit paper breakdown → | 2015 | 1099 |
| 3 | 2010 | 502 | |
| 4 | An F876L Mutation in Androgen Receptor Confers Genetic and Phenotypic Resistance to MDV3100 (Enzalutamide) Hit paper breakdown → | 2013 | 465 |
| 5 | 2012 | 298 | |
| 6 | 2013 | 298 | |
| 7 | 2011 | 227 | |
| 8 | 1983 | 186 | |
| 9 | 2011 | 113 | |
| 10 | 1981 | 98 | |
| 11 | 2015 | 97 | |
| 12 | 2010 | 91 | |
| 13 | 2009 | 80 | |
| 14 | 2018 | 74 | |
| 15 | 2010 | 55 | |
| 16 | 1977 | 49 | |
| 17 | 2012 | 38 | |
| 18 | 2008 | 8 | |
| 19 | 2015 | 8 |
About John E. Monahan
John E. Monahan is a scholar working on Cancer Research, Oncology, Computational Theory and Mathematics, Molecular Biology and Gastroenterology, having authored 19 papers that have together received 10k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Computational Drug Discovery Methods (4 papers), Cancer Cells and Metastasis (3 papers), Biochemical and Molecular Research (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Cancer-related Molecular Pathways (2 papers), Lung Cancer Treatments and Mutations (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Cancer Research (1.7k citations), Oncology (1.9k citations), Computational Theory and Mathematics (1.1k citations), Molecular Biology (3.6k citations) and Pulmonary and Respiratory Medicine (1.4k citations). John E. Monahan has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include David A. Ruddy, William R. Sellers, Daniel P. Rakiec, Richard W. Hanson, Heeja Yoo-Warren, Shivang Doshi, Ping Zhu, Wenlai Zhou, Frank P. Stegmeier and Manav Korpal. Their work appears in journals such as Nature Medicine, Cancer Discovery, Nature, PLoS ONE and Cancer Research.
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.