Robert McCormack
- Physiology top 1%
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 14
- Oncology top 5%
- Cancer Cells and Metastasis 10
- Colorectal Cancer Treatments and Studies 3
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- Prostate Cancer Treatment and Research 8
- Neurology top 5%
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- S100 Proteins and Annexins 4
- Molecular Biology Techniques and Applications 3
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- Statistical Methods in Clinical Trials 3
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Robert L. WolfertPeter SeubertSukanto SinhaIvan LieberburgD. H. S. DavisDale SchenkMichael LeeFred Esch
- Cited by
- PhysiologyCancer ResearchOncology
- Journals
- Journal of Clinical Oncology (8 papers)Infection and Immunity (3 papers)JNCI Journal of the National Cancer Institute (2 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Robert McCormack
39 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Physiology 1.4k
- Cancer Research 675
- Oncology 806
- Pulmonary and Respiratory Medicine 711
- Neurology 150
Countries citing papers authored by Robert McCormack
This map shows the geographic impact of Robert McCormack'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 McCormack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert McCormack more than expected).
Fields of papers citing papers by Robert McCormack
This network shows the impact of papers produced by Robert McCormack. 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 McCormack. The network helps show where Robert McCormack may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert McCormack, 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 | 2021 | 14 | |
| 2 | 2021 | 21 | |
| 3 | 2020 | 70 | |
| 4 | 2019 | 1 | |
| 5 | 2017 | 3 | |
| 6 | 2016 | 113 | |
| 7 | 2015 | 17 | |
| 8 | 2013 | 90 | |
| 9 | Assigning a Socio-Economic Status Value to Student Records: A Useful Tool for Planning, Reporting and Institutional Research | 2012 | 1 |
| 10 | Analysis of C2 and C2-lite micro-message communications | 2011 | 2 |
| 11 | 2011 | 137 | |
| 12 | 2011 | 85 | |
| 13 | 2009 | 9 | |
| 14 | Commentary the molecular characterization of 19 breast cancer cell lines by Sieuwerts et al. | 2009 | 5 |
| 15 | 2009 | 2 | |
| 16 | 2008 | 67 | |
| 17 | 1995 | 259 | |
| 18 | 1994 | 5 | |
| 19 | 1994 | 1 | |
| 20 | 1988 | 15 |
About Robert McCormack
Robert McCormack is a scholar working on Cancer Research, Oncology and Statistics and Probability, having authored 39 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (14 papers), Cancer Cells and Metastasis (10 papers), Prostate Cancer Treatment and Research (8 papers), S100 Proteins and Annexins (4 papers), Statistical Methods in Clinical Trials (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Molecular Biology Techniques and Applications (3 papers) and Colorectal Cancer Treatments and Studies (3 papers). The work is most often cited by research in Physiology (1.4k citations), Cancer Research (675 citations) and Oncology (806 citations). Robert McCormack has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Robert L. Wolfert, Peter Seubert, Sukanto Sinha, Ivan Lieberburg, D. H. S. Davis, Dale Schenk, Michael Lee, Fred Esch, Dennis J. Selkoe and Harry F. Dovey. Their work appears in journals such as Journal of Clinical Oncology, Infection and Immunity, JNCI Journal of the National Cancer Institute, Cancer and British Journal of Haematology.
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.