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
- Gene expression and cancer classification 1
- Co-authors
- Douglas C. Montgomery (2 shared papers)Bill Pikounis (2 shared papers)Andy Liaw (2 shared papers)Christine Brideau (2 shared papers)Leroy Hood (1 shared paper)Hongyue Dai (1 shared paper)Michelle J. Doyle (1 shared paper)Mao Mao (1 shared paper)
- Journals
- Technometrics (8 papers)Clinical Cancer Research (2 papers)SLAS DISCOVERY (2 papers)Journal of Quality Technology (2 papers)The American Statistician (2 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Bert Gunter
21 papers receiving 2.3k citations
Bert Gunter's Hit Papers
Peers
Comparison fields: 5 of 194
- Statistics and Probability 115
- Oncology 294
- Molecular Biology 755
- Biophysics 61
- Statistics, Probability and Uncertainty 73
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Design and Analysis of Experiments Hit paper breakdown → | 1985 | 836 |
| 2 | Integrated Genomic and Proteomic Analyses of Gene Expression in Mammalian Cells Hit paper breakdown → | 2004 | 648 |
| 3 | 2003 | 251 | |
| 4 | 1985 | 162 | |
| 5 | 2012 | 143 | |
| 6 | 2010 | 110 | |
| 7 | 2009 | 104 | |
| 8 | 2003 | 50 | |
| 9 | 1985 | 43 | |
| 10 | 2008 | 25 | |
| 11 | 1985 | 20 | |
| 12 | 1993 | 15 | |
| 13 | Tree-based classification and regression | 1997 | 7 |
| 14 | 1985 | 5 | |
| 15 | 1993 | 4 | |
| 16 | 2012 | 4 | |
| 17 | 1994 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 1985 | 2 | |
| 20 | 1984 | 1 |
About Bert Gunter
Bert Gunter is a scholar working on Statistics and Probability, Molecular Biology, Statistics, Probability and Uncertainty, Oncology and Management Science and Operations Research, having authored 21 papers that have together received 2.4k 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), Peroxisome Proliferator-Activated Receptors (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Statistics and Probability (115 citations), Oncology (294 citations), Molecular Biology (755 citations), Biophysics (61 citations) and Statistics, Probability and Uncertainty (73 citations). Bert Gunter has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Douglas C. Montgomery, Bill Pikounis, Andy Liaw, Christine Brideau, Leroy Hood, Hongyue Dai, Michelle J. Doyle, Mao Mao, Eugene C. Yi and Steven Collins. Their work appears in journals such as Technometrics, Clinical Cancer Research, SLAS DISCOVERY, Journal of Quality Technology 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.