Kurt Gish

6.0k total citations · 2 hit papers
17 papers, 4.4k citations indexed

About

Kurt Gish is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Kurt Gish has authored 17 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Genetics. Recurrent topics in Kurt Gish's work include Cell Adhesion Molecules Research (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Kurt Gish is often cited by papers focused on Cell Adhesion Molecules Research (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Kurt Gish collaborates with scholars based in United States, Australia and Canada. Kurt Gish's co-authors include David H. Mack, Arnold J. Levine, Daniel A. Notterman, Uri Alon, Suzanne E. Ybarra, Naama Barkai, Renbin Zhao, Maureen E. Murphy, William H. Hoffman and Yuxin Yin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Kurt Gish

17 papers receiving 4.1k citations

Hit Papers

Broad patterns of gene expression revealed by clustering ... 1999 2026 2008 2017 1999 2000 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kurt Gish United States 12 3.3k 1.1k 666 623 342 17 4.4k
C. Huard Canada 5 6.4k 1.9× 1.8k 1.7× 458 0.7× 974 1.6× 801 2.3× 6 8.3k
Christine Ladd United States 7 4.6k 1.4× 1.2k 1.2× 713 1.1× 707 1.1× 1.0k 3.1× 10 6.2k
Jane Staunton United States 12 3.9k 1.2× 511 0.5× 843 1.3× 305 0.5× 676 2.0× 16 6.0k
Michelle Gaasenbeek United Kingdom 8 7.5k 2.2× 2.1k 2.0× 862 1.3× 1.1k 1.8× 1.0k 3.1× 10 10.2k
Jun Sese Japan 27 1.9k 0.6× 518 0.5× 200 0.3× 280 0.4× 226 0.7× 82 3.6k
Amir Ben‐Dor United States 24 2.9k 0.9× 796 0.7× 232 0.3× 267 0.4× 508 1.5× 53 4.7k
Suzanne E. Ybarra United States 2 2.4k 0.7× 1.1k 1.0× 115 0.2× 622 1.0× 160 0.5× 2 3.0k
Michael Reich United States 22 6.5k 2.0× 699 0.7× 1.2k 1.8× 345 0.6× 1.3k 3.7× 42 9.6k
Sutisak Kitareewan United States 13 2.4k 0.7× 322 0.3× 358 0.5× 121 0.2× 212 0.6× 20 3.2k
Nataša Pržulj United Kingdom 37 4.4k 1.3× 669 0.6× 132 0.2× 347 0.6× 152 0.4× 92 6.0k

Countries citing papers authored by Kurt Gish

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kurt Gish

This figure shows the co-authorship network connecting the top 25 collaborators of Kurt Gish. A scholar is included among the top collaborators of Kurt Gish based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kurt Gish. Kurt Gish is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Purcell, James W., Jonathan A. Hickson, Melvin Fox, et al.. (2018). LRRC15 Is a Novel Mesenchymal Protein and Stromal Target for Antibody–Drug Conjugates. Cancer Research. 78(14). 4059–4072. 136 indexed citations
2.
Ben‐Ami, Eytan, Ying Huang, Prafulla C. Gokhale, et al.. (2018). Abstract 953: LRRC15 is a novel antigen in sarcoma and the therapeutic target of the antibody-drug conjugate (ADC) ABBV-085. Cancer Research. 78(13_Supplement). 953–953. 4 indexed citations
3.
Hickson, Jonathan A., Melvin Fox, David Chao, et al.. (2016). ABBV-085 is a novel antibody–drug conjugate (ADC) that targets LRRC15 in the tumor microenvironment. European Journal of Cancer. 69. S10–S10. 1 indexed citations
4.
Neyer, Lauri, et al.. (2006). Confirming human antibody responses to a therapeutic monoclonal antibody using a statistical approach. Journal of Immunological Methods. 315(1-2). 80–87. 11 indexed citations
5.
Radvanyi, Laszlo, Gustavo V. Mallo, Kurt Gish, et al.. (2005). The gene associated with trichorhinophalangeal syndrome in humans is overexpressed in breast cancer. Proceedings of the National Academy of Sciences. 102(31). 11005–11010. 183 indexed citations
6.
Armes, Jane E., Fleur Hammet, Melanie de Silva, et al.. (2004). Candidate tumor-suppressor genes on chromosome arm 8p in early-onset and high-grade breast cancers. Oncogene. 23(33). 5697–5702. 86 indexed citations
7.
Willis, Simon N., Anne‐Marie Hutchins, Fleur Hammet, et al.. (2003). Detailed gene copy number and RNA expression analysis of the 17q12–23 region in primary breast cancers. Genes Chromosomes and Cancer. 36(4). 382–392. 22 indexed citations
8.
Henshall, Susan M., Daniel Afar, Lisa G. Horvath, et al.. (2003). Survival analysis of genome-wide gene expression profiles of prostate cancers identifies new prognostic targets of disease relapse.. PubMed. 63(14). 4196–203. 191 indexed citations
9.
Zhao, Renbin, Kurt Gish, Maureen E. Murphy, et al.. (2000). The Transcriptional Program following p53 Activation. Cold Spring Harbor Symposia on Quantitative Biology. 65(0). 475–482. 25 indexed citations
10.
Zhao, Renbin, Kurt Gish, Maureen E. Murphy, et al.. (2000). Analysis of p53-regulated gene expression patterns using oligonucleotide arrays. Genes & Development. 14(8). 981–993. 538 indexed citations breakdown →
11.
Patel, Neela, Els C.M. Brinkman-Van der Linden, S. Altmann, et al.. (1999). OB-BP1/Siglec-6. Journal of Biological Chemistry. 274(32). 22729–22738. 142 indexed citations
12.
Alon, Uri, Naama Barkai, Daniel A. Notterman, et al.. (1999). Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proceedings of the National Academy of Sciences. 96(12). 6745–6750. 2959 indexed citations breakdown →
13.
Linden, Els C.M. Brinkman-Van der, S. Altmann, Kurt Gish, et al.. (1999). Additions and Corrections. Journal of Biological Chemistry. 274(39). 28058–28058. 1 indexed citations
14.
Gruber, Tanja M., Jonathan A. Eisen, Kurt Gish, & Donald A. Bryant. (1998). The phylogenetic relationships ofChlorobium tepidumandChloroflexus aurantiacusbased upon their RecA sequences. FEMS Microbiology Letters. 162(1). 53–60. 10 indexed citations
15.
Gish, Kurt & Charles Yanofsky. (1995). Evidence suggesting cis action by the TnaC leader peptide in regulating transcription attenuation in the tryptophanase operon of Escherichia coli. Journal of Bacteriology. 177(24). 7245–7254. 33 indexed citations
16.
Kamath, Ajith V., Kurt Gish, & Charles Yanofsky. (1994). A copy of insertion element IS5 is present within tnaB in the Kohara library of Escherichia coli W3110. Journal of Bacteriology. 176(5). 1546–1547. 3 indexed citations
17.
Gish, Kurt & Charles Yanofsky. (1993). Inhibition of expression of the tryptophanase operon in Escherichia coli by extrachromosomal copies of the tna leader region. Journal of Bacteriology. 175(11). 3380–3387. 19 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026