Bert Gunter
Impact in
- Statistics and Probability top 5%
- Oncology top 10%
- HER2/EGFR in Cancer Research
Papers in
-
- Statistics Education and Methodologies 3
- Statistical Methods in Clinical Trials 3
-
- Peroxisome Proliferator-Activated Receptors 1
- Angiogenesis and VEGF in Cancer 1
- Co-authors
- Douglas C. Montgomery (2 shared papers)Christine Brideau (2 shared papers)Andy Liaw (4 shared papers)Bill Pikounis (2 shared papers)Ruedi Aebersold (1 shared paper)Leroy Hood (1 shared paper)Roland Stoughton (1 shared paper)Mao Mao (1 shared paper)
- Journals
- Technometrics (9 papers)Clinical Cancer Research (2 papers)Journal of Quality Technology (2 papers)SLAS DISCOVERY (2 papers)The American Statistician (2 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Bert Gunter
24 papers receiving 2.4k citations
Bert Gunter's Hit Papers
Peers
Comparison fields: 5 of 195
- Statistics and Probability 123
- Oncology 307
- Biophysics 71
- Molecular Biology 797
- Statistics, Probability and Uncertainty 82
Countries citing papers authored by Bert Gunter
This map shows the geographic impact of Bert Gunter'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 Bert Gunter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bert Gunter more than expected).
Fields of papers citing papers by Bert Gunter
This network shows the impact of papers produced by Bert Gunter. 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 Bert Gunter. The network helps show where Bert Gunter may publish in the future.
Co-authors
The 25 scholars most cited alongside Bert Gunter, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Design and Analysis of Experiments Hit paper breakdown → | 1985 | 872 |
| 2 | Integrated Genomic and Proteomic Analyses of Gene Expression in Mammalian Cells Hit paper breakdown → | 2004 | 664 |
| 3 | 2003 | 265 | |
| 4 | 1985 | 165 | |
| 5 | 2012 | 153 | |
| 6 | 2010 | 111 | |
| 7 | 2009 | 107 | |
| 8 | 2003 | 58 | |
| 9 | 1985 | 48 | |
| 10 | 2008 | 26 | |
| 11 | 1985 | 22 | |
| 12 | 1993 | 15 | |
| 13 | Tree-based classification and regression | 1997 | 7 |
| 14 | 1985 | 6 | |
| 15 | 1993 | 4 | |
| 16 | 2012 | 4 | |
| 17 | 2004 | 4 | |
| 18 | 1994 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 1985 | 2 |
About Bert Gunter
Bert Gunter is a scholar working on Statistics and Probability, Molecular Biology, Statistics, Probability and Uncertainty, Pharmacology and Oncology, having authored 25 papers that have together received 2.5k indexed citations. Recurring topics across this work include Statistics Education and Methodologies (3 papers), Statistical Methods in Clinical Trials (3 papers), Advanced Statistical Process Monitoring (3 papers), HER2/EGFR in Cancer Research (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Statistics and Probability (123 citations), Oncology (307 citations), Biophysics (71 citations), Molecular Biology (797 citations) and Statistics, Probability and Uncertainty (82 citations). Bert Gunter has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Douglas C. Montgomery, Christine Brideau, Andy Liaw, Bill Pikounis, Ruedi Aebersold, Leroy Hood, Roland Stoughton, Mao Mao, David R. Goodlett and Michelle J. Doyle. Their work appears in journals such as Technometrics, Clinical Cancer Research, Journal of Quality Technology, SLAS DISCOVERY and The American Statistician.
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.