Bert Gunter

21 papers receiving 2.3k citations

Hit Papers

Integrated Genomic and Proteomic Analyses of Gene Expression in Mammalian Cells 2004 · 647 citations
6471985202619982012250500750

Peers

Bert Gunter
Comparison fields: 5 of 194
  • Statistics and Probability 121
  • Molecular Biology 846
  • Oncology 322
  • Biophysics 67
  • Statistics, Probability and Uncertainty 73
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Citations per year

Countries citing papers authored by Bert Gunter

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bert Gunter Line = papers co-authored together Bert Gunter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
1985835
2
Integrated Genomic and Proteomic Analyses of Gene Expression in Mammalian Cells
Hit paper breakdown →
2004647
3 2003248
4 1985163
5 2012141
6 2010110
7 2009104
8 200350
9 198543
10 200825
11 198520
12 199315
13
Tree-based classification and regression
19977
14 19855
15 20124
16 19934
17 19942
18 19852
19 20172
20 19881

About Bert Gunter

Bert Gunter is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, History and Philosophy of Science, Management Science and Operations Research and Computational Theory and Mathematics, having authored 21 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (3 papers), Statistics Education and Methodologies (3 papers), Statistical Methods in Clinical Trials (3 papers), HER2/EGFR in Cancer Research (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Science Education and Pedagogy (1 paper). The work is most often cited by research in Statistics and Probability (121 citations), Molecular Biology (846 citations), Oncology (322 citations), Biophysics (67 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, Andy Liaw, Bill Pikounis, Christine Brideau, Leroy Hood, Joel P. Berger, Ruedi Aebersold, Michelle J. Doyle, Mao Mao and Vésteinn Thórsson. Their work appears in journals such as Technometrics, SLAS DISCOVERY, Clinical Cancer Research, 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.

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