Kurt Gish
Impact in
- Molecular Biology top 2%
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Molecular Biology Techniques and Applications
- RNA modifications and cancer
- Artificial Intelligence top 1%
- Evolutionary Algorithms and Applications
Papers in
-
- Wnt/β-catenin signaling in development and cancer 3
- Molecular Biology Techniques and Applications 2
- RNA modifications and cancer 2
- Protein Tyrosine Phosphatases 1
- Oncology 5
- HER2/EGFR in Cancer Research 2
- Cancer-related Molecular Pathways 2
- Co-authors
- David H. Mack (4 shared papers)Daniel A. Notterman (3 shared papers)Arnold J. Levine (3 shared papers)Naama Barkai (1 shared paper)Suzanne E. Ybarra (1 shared paper)Uri Alon (1 shared paper)Renbin Zhao (2 shared papers)Yuxin Yin (2 shared papers)
- Journals
- Journal of Bacteriology (3 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Cancer Research (2 papers)Genes Chromosomes and Cancer (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Kurt Gish
17 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 3.3k
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 623
- Statistics and Probability 209
- Oncology 666
Countries citing papers authored by Kurt Gish
This map shows the geographic impact of Kurt Gish'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 Kurt Gish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kurt Gish more than expected).
Fields of papers citing papers by Kurt Gish
This network shows the impact of papers produced by Kurt Gish. 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 Kurt Gish. The network helps show where Kurt Gish may publish in the future.
Co-authors
The 25 scholars most cited alongside Kurt Gish, 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 | Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays Hit paper breakdown → | 1999 | 2959 |
| 2 | Analysis of p53-regulated gene expression patterns using oligonucleotide arrays Hit paper breakdown → | 2000 | 538 |
| 3 | Survival analysis of genome-wide gene expression profiles of prostate cancers identifies new prognostic targets of disease relapse. | 2003 | 191 |
| 4 | 2005 | 183 | |
| 5 | 1999 | 142 | |
| 6 | 2018 | 136 | |
| 7 | 2004 | 86 | |
| 8 | 1995 | 33 | |
| 9 | 2000 | 25 | |
| 10 | 2003 | 22 | |
| 11 | 1993 | 19 | |
| 12 | 2006 | 11 | |
| 13 | 1998 | 10 | |
| 14 | 2018 | 4 | |
| 15 | 1994 | 3 | |
| 16 | 1999 | 1 | |
| 17 | 2016 | 1 |
About Kurt Gish
Kurt Gish is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Allergy and Immunology, having authored 17 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Bacterial Genetics and Biotechnology (3 papers), HER2/EGFR in Cancer Research (2 papers), Molecular Biology Techniques and Applications (2 papers), Cancer-related Molecular Pathways (2 papers), RNA modifications and cancer (2 papers) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Molecular Biology (3.3k citations), Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (623 citations), Statistics and Probability (209 citations) and Oncology (666 citations). Kurt Gish has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include David H. Mack, Daniel A. Notterman, Arnold J. Levine, Naama Barkai, Suzanne E. Ybarra, Uri Alon, Renbin Zhao, Yuxin Yin, Maureen E. Murphy and William H. Hoffman. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Cancer Research and Genes Chromosomes and Cancer.
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.