W. Michael Korn

9.2k total citations
197 papers, 3.4k citations indexed

About

W. Michael Korn is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, W. Michael Korn has authored 197 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Oncology, 76 papers in Cancer Research and 72 papers in Pulmonary and Respiratory Medicine. Recurrent topics in W. Michael Korn's work include Cancer Genomics and Diagnostics (73 papers), Genetic factors in colorectal cancer (40 papers) and Colorectal Cancer Treatments and Studies (37 papers). W. Michael Korn is often cited by papers focused on Cancer Genomics and Diagnostics (73 papers), Genetic factors in colorectal cancer (40 papers) and Colorectal Cancer Treatments and Studies (37 papers). W. Michael Korn collaborates with scholars based in United States, Austria and Japan. W. Michael Korn's co-authors include Joanne Xiu, John L. Marshall, Anthony F. Shields, Richard M. Goldberg, Alberto Puccini, Mohamed E. Salem, S. Ries, Andrew H. Ko, Philip A. Philip and Heinz‐Josef Lenz and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

W. Michael Korn

185 papers receiving 3.4k citations

Peers

W. Michael Korn
Brian A. Van Tine United States
Rebecca Leary United States
Yun Gong United States
Rastko Golouh Slovenia
W. Michael Korn
Citations per year, relative to W. Michael Korn W. Michael Korn (= 1×) peers Shunsuke Kato

Countries citing papers authored by W. Michael Korn

Since Specialization
Citations

This map shows the geographic impact of W. Michael Korn'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 W. Michael Korn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Michael Korn more than expected).

Fields of papers citing papers by W. Michael Korn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Michael Korn. 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 W. Michael Korn. The network helps show where W. Michael Korn may publish in the future.

Co-authorship network of co-authors of W. Michael Korn

This figure shows the co-authorship network connecting the top 25 collaborators of W. Michael Korn. A scholar is included among the top collaborators of W. Michael Korn 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 W. Michael Korn. W. Michael Korn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Young, Sarah, et al.. (2024). Germline gene-specific associations in a large prostate cancer cohort.. Journal of Clinical Oncology. 42(16_suppl). 5102–5102.
2.
Esplin, Edward D., Sarah Young, Emily M. Russell, et al.. (2024). Smoking and pathogenic germline variants in patients with lung cancer.. Journal of Clinical Oncology. 42(16_suppl). 8040–8040.
3.
Nagasaka, Misako, Yasmine Baca, Joanne Xiu, et al.. (2023). Pan-tumor survey of RET fusions as detected by next-generation RNA sequencing identified RET fusion positive colorectal carcinoma as a unique molecular subset. Translational Oncology. 36. 101744–101744. 13 indexed citations
4.
Florou, Vaia, Andrew Elliott, Matthew H. Bailey, et al.. (2023). Comparative Genomic Analysis of Pancreatic Acinar Cell Carcinoma (PACC) and Pancreatic Ductal Adenocarcinoma (PDAC) Unveils New Actionable Genomic Aberrations in PACC. Clinical Cancer Research. 29(17). 3408–3417. 10 indexed citations
5.
Darabi, Sourat, Andrew Elliott, Jia Zeng, et al.. (2022). Transcriptional Profiling of Malignant Melanoma Reveals Novel and Potentially Targetable Gene Fusions. Cancers. 14(6). 1505–1505. 4 indexed citations
6.
Deneka, Alexander Y., Yasmine Baca, Ilya G. Serebriiskii, et al.. (2022). Association of T P53 and CDKN2A Mutation Profile with Tumor Mutation Burden in Head and Neck Cancer. Clinical Cancer Research. 28(9). 1925–1937. 40 indexed citations
7.
Freire, Andrea P. Espejo, Andrew Elliott, Andrew E. Rosenberg, et al.. (2021). Genomic Landscape of Angiosarcoma: A Targeted and Immunotherapy Biomarker Analysis. Cancers. 13(19). 4816–4816. 44 indexed citations
8.
9.
Nagasaka, Misako, Vijendra K. Singh, Yasmine Baca, et al.. (2021). The Effects of HER2 Alterations in EGFR Mutant Non-small Cell Lung Cancer. Clinical Lung Cancer. 23(1). 52–59. 21 indexed citations
10.
Arai, Hiroyuki, Yasmine Baca, Francesca Battaglin, et al.. (2020). Molecular Characterization of Appendiceal Goblet Cell Carcinoid. Molecular Cancer Therapeutics. 19(12). 2634–2640. 18 indexed citations
11.
Abraham, Jim, Daniel Magee, Chiara Cremolini, et al.. (2020). Clinical Validation of a Machine-learning–derived Signature Predictive of Outcomes from First-line Oxaliplatin-based Chemotherapy in Advanced Colorectal Cancer. Clinical Cancer Research. 27(4). 1174–1183. 35 indexed citations
12.
Baca, Yasmine, Joanne Xiu, Fábio Távora, et al.. (2020). The Landscape of Glycogen Synthase Kinase-3 Beta Genomic Alterations in Cancer. Molecular Cancer Therapeutics. 20(1). 183–190. 12 indexed citations
13.
Stein, Matthew K., Joanne Xiu, Michael G. Martin, et al.. (2020). Comprehensive tumor profiling reveals unique molecular differences between peritoneal metastases and primary colorectal adenocarcinoma. Journal of Surgical Oncology. 121(8). 1320–1328. 18 indexed citations
14.
Tokunaga, Ryuma, Joanne Xiu, Curtis Johnston, et al.. (2019). Molecular Profiling of Appendiceal Adenocarcinoma and Comparison with Right-sided and Left-sided Colorectal Cancer. Clinical Cancer Research. 25(10). 3096–3103. 62 indexed citations
15.
Jonna, Sushma, Rebecca Feldman, Jeffrey Swensen, et al.. (2019). Detection of NRG1 Gene Fusions in Solid Tumors. Clinical Cancer Research. 25(16). 4966–4972. 155 indexed citations
16.
Salem, Mohamed E., Alberto Puccini, Axel Grothey, et al.. (2018). Landscape of Tumor Mutation Load, Mismatch Repair Deficiency, and PD-L1 Expression in a Large Patient Cohort of Gastrointestinal Cancers. Molecular Cancer Research. 16(5). 805–812. 159 indexed citations
17.
Gendelman, Rina, Heming Xing, Olga K. Mirzoeva, et al.. (2017). Bayesian Network Inference Modeling Identifies TRIB1 as a Novel Regulator of Cell-Cycle Progression and Survival in Cancer Cells. Cancer Research. 77(7). 1575–1585. 57 indexed citations
18.
Strickler, John H., Jonathan M. Loree, Leanne G. Ahronian, et al.. (2017). Genomic Landscape of Cell-Free DNA in Patients with Colorectal Cancer. Cancer Discovery. 8(2). 164–173. 196 indexed citations
19.
Ko, Andrew H., Tanios Bekaii‐Saab, Jessica Van Ziffle, et al.. (2015). A Multicenter, Open-Label Phase II Clinical Trial of Combined MEK plus EGFR Inhibition for Chemotherapy-Refractory Advanced Pancreatic Adenocarcinoma. Clinical Cancer Research. 22(1). 61–68. 100 indexed citations
20.
Mirzoeva, Olga K., Eric A. Collisson, Peter M. Schaefer, et al.. (2013). Subtype-Specific MEK-PI3 Kinase Feedback as a Therapeutic Target in Pancreatic Adenocarcinoma. Molecular Cancer Therapeutics. 12(10). 2213–2225. 34 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.

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