John N. Weinstein
Impact in
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.05%
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Lipid Membrane Structure and Behavior
Papers in
-
- Gene expression and cancer classification 33
- Bioinformatics and Genomic Networks 27
- Lipid Membrane Structure and Behavior 26
- RNA modifications and cancer 17
- Epigenetics and DNA Methylation 16
- Oncology 49
- Co-authors
- Joseph A. Ludwig (3 shared papers)Gordon B. Mills (16 shared papers)Kenna Shaw (2 shared papers)Joshua M. Stuart (4 shared papers)Chris Sander (1 shared paper)Kyle Ellrott (1 shared paper)Ilya Shmulevich (1 shared paper)Brad Ozenberger (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (19 papers)Cancer Research (18 papers)Science (13 papers)Bioinformatics (13 papers)Proceedings of the National Academy of Sciences (12 papers)
- Partner nations
- United StatesFrancePoland
In The Last Decade
John N. Weinstein
330 papers receiving 35.6k citations
John N. Weinstein's Hit Papers
Peers
Comparison fields: 5 of 211
- Cancer Research 6.2k
- Molecular Biology 21.9k
- Oncology 6.2k
- Biomaterials 2.1k
- Radiology, Nuclear Medicine and Imaging 3.1k
Countries citing papers authored by John N. Weinstein
This map shows the geographic impact of John N. Weinstein'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 N. Weinstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John N. Weinstein more than expected).
Fields of papers citing papers by John N. Weinstein
This network shows the impact of papers produced by John N. Weinstein. 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 N. Weinstein. The network helps show where John N. Weinstein may publish in the future.
Co-authors
The 25 scholars most cited alongside John N. Weinstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 335 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Cancer Genome Atlas Pan-Cancer analysis project Hit paper breakdown → | 2013 | 5768 |
| 2 | Systematic variation in gene expression patterns in human cancer cell lines Hit paper breakdown → | 2000 | 1743 |
| 3 | Biomarkers in Cancer Staging, Prognosis and Treatment Selection Hit paper breakdown → | 2005 | 1371 |
| 4 | A gene expression database for the molecular pharmacology of cancer Hit paper breakdown → | 2000 | 1174 |
| 5 | GoMiner: a resource for biological interpretation of genomic and proteomic data Hit paper breakdown → | 2003 | 1010 |
| 6 | Design of Liposomes for Enhanced Local Release of Drugs by Hyperthermia Hit paper breakdown → | 1978 | 821 |
| 7 | 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 |
| 8 | Liposome-Cell Interaction: Transfer and Intracellular Release of a Trapped Fluorescent Marker Hit paper breakdown → | 1977 | 663 |
| 9 | Chemosensitivity prediction by transcriptional profiling Hit paper breakdown → | 2001 | 560 |
| 10 | 2004 | 447 | |
| 11 | Integrated Analysis of TP53 Gene and Pathway Alterations in The Cancer Genome Atlas Hit paper breakdown → | 2019 | 440 |
| 12 | 2015 | 419 | |
| 13 | 2005 | 410 | |
| 14 | 2003 | 390 | |
| 15 | 1978 | 381 | |
| 16 | 1981 | 370 | |
| 17 | Micropharmacology of monoclonal antibodies in solid tumors: direct experimental evidence for a binding site barrier. | 1992 | 360 |
| 18 | A Patient-Derived, Pan-Cancer EMT Signature Identifies Global Molecular Alterations and Immune Target Enrichment Following Epithelial-to-Mesenchymal Transition Hit paper breakdown → | 2015 | 358 |
| 19 | 1980 | 340 | |
| 20 | 1976 | 338 |
About John N. Weinstein
John N. Weinstein is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Computational Theory and Mathematics, having authored 335 papers that have together received 37.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (43 papers), Gene expression and cancer classification (33 papers), Bioinformatics and Genomic Networks (27 papers), Computational Drug Discovery Methods (27 papers), Lipid Membrane Structure and Behavior (26 papers), HIV/AIDS drug development and treatment (24 papers), RNA modifications and cancer (17 papers) and Epigenetics and DNA Methylation (16 papers). The work is most often cited by research in Cancer Research (6.2k citations), Molecular Biology (21.9k citations), Oncology (6.2k citations), Biomaterials (2.1k citations) and Radiology, Nuclear Medicine and Imaging (3.1k citations). John N. Weinstein has collaborated with scholars based in United States, France and Poland. Frequent co-authors include Joseph A. Ludwig, Gordon B. Mills, Kenna Shaw, Joshua M. Stuart, Chris Sander, Kyle Ellrott, Ilya Shmulevich, Brad Ozenberger, Robert Blumenthal and Yves Pommier. Their work appears in journals such as Molecular Cancer Therapeutics, Cancer Research, Science, Bioinformatics and Proceedings of the National Academy of Sciences.
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.