Bert Gunter

3.0k citations
22 papers · 2.5k · 1 hit paper · h-index 11

Impact in

    • Advanced Proteomics Techniques and Applications
  • Oncology top 10%
    • HER2/EGFR in Cancer Research

Papers in

Bert Gunter

20 papers receiving 2.4k citations

Bert Gunter's Hit Papers

Integrated Genomic and Proteomic Analyses of Gene Expression in Mammalian Cells 2004 · 671 citations
6710+7+14Years since publication200400600

Peers

Bert Gunter
Comparison fields: 5 of 151
  • Spectroscopy 80
  • Oncology 124
  • Computational Theory and Mathematics 82
  • Molecular Biology 276
  • Management Science and Operations Research 67
Replace Pierre R. Bushel with:
Pierre R. Bushel United States
David E. Leahy United Kingdom
Edmund J. Crampin New Zealand
Hong‐Dong Li China
Yifeng Li China
Julia Hoeng Switzerland
Donghui Li China
Bin Hu China
Pengyi Yang Australia
Francesco Falciani B United Kingdom
Bert Gunter relative to Pierre R. Bushel United States Pierre R. Bushel's profile →
Citations per field
00.5×2×4×6.7×
Pierre R. Bushel · 1×
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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 19851017
2
Integrated Genomic and Proteomic Analyses of Gene Expression in Mammalian Cells
Hit paper breakdown →
2004671
3 2003284
4 2012160
5 2010116
6 2009109
7 200360
8 198545
9 198524
10 200822
11 199313
12 20127
13
Tree-based classification and regression
19976
14 20044
15 19852
16 19942
17 20172
18 19881
19 20011
20 20041

About Bert Gunter

Bert Gunter is a scholar working on Management Science and Operations Research, Statistics and Probability, Pharmacology, Computational Theory and Mathematics and Oncology, having authored 22 papers that have together received 2.5k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Data Visualization and Analytics (1 paper), Data Analysis with R (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Computational Drug Discovery Methods (1 paper), Statistics Education and Methodologies (1 paper) and Probability and Statistical Research (1 paper). The work is most often cited by research in Spectroscopy (80 citations), Oncology (124 citations), Computational Theory and Mathematics (82 citations), Molecular Biology (276 citations) and Management Science and Operations Research (67 citations). Bert Gunter has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Douglas C. Montgomery, Andy I. Liaw, Christine Brideau, Bill Pikounis, Vésteinn Thórsson, Eugene C. Yi, William A. Hanlon, Jimmy K. Eng, Leroy Hood and Mao Mao. 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.

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