Robert Pesich
Impact in
- Cancer Research top 0.5%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 1%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
-
- Gene expression and cancer classification 3
- Genomics and Chromatin Dynamics 1
- RNA modifications and cancer 1
- Molecular Biology Techniques and Applications 1
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- Renin-Angiotensin System Studies 1
- Co-authors
- David Botstein (4 shared papers)Patrick O. Brown (2 shared papers)Trevor Hastie (2 shared papers)Charles M. Perou (2 shared papers)Thérese Sørlie (1 shared paper)Robert Tibshirani (1 shared paper)Joel S. Parker (1 shared paper)J. S. Marron (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)BMC Genomics (1 paper)Genome biology (1 paper)Genome Research (1 paper)
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
Robert Pesich
5 papers receiving 4.5k citations
Robert Pesich's Hit Papers
Peers
Comparison fields: 5 of 128
- Cancer Research 1.9k
- Oncology 1.6k
- Molecular Biology 1.9k
- Genetics 693
- Pathology and Forensic Medicine 349
Countries citing papers authored by Robert Pesich
This map shows the geographic impact of Robert Pesich'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 Robert Pesich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Pesich more than expected).
Fields of papers citing papers by Robert Pesich
This network shows the impact of papers produced by Robert Pesich. 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 Robert Pesich. The network helps show where Robert Pesich may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Pesich, 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 | Repeated observation of breast tumor subtypes in independent gene expression data sets Hit paper breakdown → | 2003 | 4044 |
| 2 | 2001 | 321 | |
| 3 | 2004 | 117 | |
| 4 | 2007 | 78 | |
| 5 | 2001 | 54 |
About Robert Pesich
Robert Pesich is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pharmacology, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 5 papers that have together received 4.6k indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Pharmacogenetics and Drug Metabolism (1 paper), Genomics and Chromatin Dynamics (1 paper), Breast Cancer Treatment Studies (1 paper), Renin-Angiotensin System Studies (1 paper), RNA modifications and cancer (1 paper), Molecular Biology Techniques and Applications (1 paper) and Hormonal Regulation and Hypertension (1 paper). The work is most often cited by research in Cancer Research (1.9k citations), Oncology (1.6k citations), Molecular Biology (1.9k citations), Genetics (693 citations) and Pathology and Forensic Medicine (349 citations). Robert Pesich has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include David Botstein, Patrick O. Brown, Trevor Hastie, Charles M. Perou, Thérese Sørlie, Robert Tibshirani, Joel S. Parker, J. S. Marron, Andrew B. Nobel and Shibing Deng. Their work appears in journals such as Proceedings of the National Academy of Sciences, BMC Genomics, Genome biology and Genome 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.