John D. Monsey
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Colorectal Cancer Treatments and Studies
- Cancer Cells and Metastasis
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 8
- HER2/EGFR in Cancer Research 6
- Drug Transport and Resistance Mechanisms 2
-
- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Ron Bose (6 shared papers)Wei Shen (4 shared papers)Adam C. Searleman (2 shared papers)Shyam M. Kavuri (2 shared papers)Daniel C. Koboldt (1 shared paper)Matthew Ellis (1 shared paper)Cynthia X. Ma (1 shared paper)Shunqiang Li (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Cancer Discovery (2 papers)Biochemistry (2 papers)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- United StatesItalyHungary
In The Last Decade
John D. Monsey
10 papers receiving 1.2k citations
John D. Monsey's Hit Papers
Peers
Comparison fields: 5 of 63
- Oncology 767
- Cancer Research 293
- Radiology, Nuclear Medicine and Imaging 254
- Pulmonary and Respiratory Medicine 248
- Pathology and Forensic Medicine 100
Countries citing papers authored by John D. Monsey
This map shows the geographic impact of John D. Monsey'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 D. Monsey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Monsey more than expected).
Fields of papers citing papers by John D. Monsey
This network shows the impact of papers produced by John D. Monsey. 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 D. Monsey. The network helps show where John D. Monsey may publish in the future.
Co-authors
The 25 scholars most cited alongside John D. Monsey, 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 | Activating HER2 Mutations in HER2 Gene Amplification Negative Breast Cancer Hit paper breakdown → | 2012 | 705 |
| 2 | 2015 | 251 | |
| 3 | 2009 | 56 | |
| 4 | 2005 | 48 | |
| 5 | 2013 | 31 | |
| 6 | 2011 | 27 | |
| 7 | 2016 | 24 | |
| 8 | 2007 | 23 | |
| 9 | 1994 | 22 | |
| 10 | 1993 | 14 |
About John D. Monsey
John D. Monsey is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pharmaceutical Science, Clinical Biochemistry and Molecular Biology, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Drug Transport and Resistance Mechanisms (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Sphingolipid Metabolism and Signaling (1 paper), Lipid Membrane Structure and Behavior (1 paper), Metabolism and Genetic Disorders (1 paper) and Drug Solubulity and Delivery Systems (1 paper). The work is most often cited by research in Oncology (767 citations), Cancer Research (293 citations), Radiology, Nuclear Medicine and Imaging (254 citations), Pulmonary and Respiratory Medicine (248 citations) and Pathology and Forensic Medicine (100 citations). John D. Monsey has collaborated with scholars based in United States, Italy and Hungary. Frequent co-authors include Ron Bose, Wei Shen, Adam C. Searleman, Shyam M. Kavuri, Daniel C. Koboldt, Matthew Ellis, Cynthia X. Ma, Shunqiang Li, Nicholas J. Goel and Elaine R. Mardis. Their work appears in journals such as Journal of Biological Chemistry, Cancer Discovery, Biochemistry and Molecular & Cellular Proteomics.
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.