Ole Gjoerup

4.9k total citations · 1 hit paper
67 papers, 3.1k citations indexed

About

Ole Gjoerup is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Ole Gjoerup has authored 67 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Oncology, 27 papers in Molecular Biology and 25 papers in Cancer Research. Recurrent topics in Ole Gjoerup's work include Cancer Genomics and Diagnostics (23 papers), Polyomavirus and related diseases (14 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Ole Gjoerup is often cited by papers focused on Cancer Genomics and Diagnostics (23 papers), Polyomavirus and related diseases (14 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Ole Gjoerup collaborates with scholars based in United States, United Kingdom and Spain. Ole Gjoerup's co-authors include Thomas M. Roberts, Yuan Chang, Patrick S. Moore, Huichen Feng, Hyun Jin Kwun, Masahiro Shuda, Jean J. Zhao, Steven T. Rosen, Yuan Cheng and William C. Hahn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ole Gjoerup

63 papers receiving 3.0k citations

Hit Papers

T antigen mutations are a human tumor-specific signature ... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers

Ole Gjoerup
Melissa Pulitzer United States
Jeffrey P. North United States
Yi-Mi Wu United States
Meena Subramanyam United States
Keiko Akagi United States
Sarah A. Bixler United States
Sumitra Deb United States
Melissa Pulitzer United States
Ole Gjoerup
Citations per year, relative to Ole Gjoerup Ole Gjoerup (= 1×) peers Melissa Pulitzer

Countries citing papers authored by Ole Gjoerup

Since Specialization
Citations

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

Fields of papers citing papers by Ole Gjoerup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ole Gjoerup. 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 Ole Gjoerup. The network helps show where Ole Gjoerup may publish in the future.

Co-authorship network of co-authors of Ole Gjoerup

This figure shows the co-authorship network connecting the top 25 collaborators of Ole Gjoerup. A scholar is included among the top collaborators of Ole Gjoerup 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 Ole Gjoerup. Ole Gjoerup 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.
Madison, Russell W., Zoe J. Assaf, Alexander D. Fine, et al.. (2025). Real-World Validity of Tissue-Agnostic Circulating Tumor DNA Response Monitoring in Lung Cancers Treated With Chemotherapy, Immunotherapy, or Targeted Agents. JTO Clinical and Research Reports. 6(9). 100829–100829. 1 indexed citations
2.
Schrock, Alexa B., Richard S.P. Huang, Ole Gjoerup, et al.. (2025). Tissue-based genomic profiling of 300,000 tumors highlights the detection of variants with low allele fraction. npj Precision Oncology. 9(1). 190–190.
3.
Sweeney, Christopher J., Chang Xu, Jie He, et al.. (2024). Circulating Tumor DNA Assessment for Treatment Monitoring Adds Value to PSA in Metastatic Castration-Resistant Prostate Cancer. Clinical Cancer Research. 30(18). 4115–4122. 7 indexed citations
5.
Pellini, Bruna, Russell W. Madison, Ole Gjoerup, et al.. (2023). Circulating Tumor DNA Monitoring on Chemo-immunotherapy for Risk Stratification in Advanced Non–Small Cell Lung Cancer. Clinical Cancer Research. 29(22). 4596–4605. 25 indexed citations
6.
Husain, Hatim, Dean C. Pavlick, Bernard J. Fendler, et al.. (2022). Tumor Fraction Correlates With Detection of Actionable Variants Across > 23,000 Circulating Tumor DNA Samples. JCO Precision Oncology. 6(6). e2200261–e2200261. 58 indexed citations
7.
Graf, Ryon P., Virginia Fisher, Richard S.P. Huang, et al.. (2022). Tumor Mutational Burden as a Predictor of First-Line Immune Checkpoint Inhibitor Versus Carboplatin Benefit in Cisplatin-Unfit Patients With Urothelial Carcinoma. JCO Precision Oncology. 6(6). e2200121–e2200121. 14 indexed citations
8.
Sivakumar, Smruthy, Dexter X. Jin, Hanna Tukachinsky, et al.. (2022). Tissue and liquid biopsy profiling reveal convergent tumor evolution and therapy evasion in breast cancer. Nature Communications. 13(1). 7495–7495. 26 indexed citations
9.
Kim, Mi‐Ju, Seav Huong Ly, Yingtian Xie, et al.. (2022). YAP1 and PRDM14 converge to promote cell survival and tumorigenesis. Developmental Cell. 57(2). 212–227.e8. 13 indexed citations
10.
Lee, Jessica, Mehlika Hazar-Rethinam, Brennan Decker, et al.. (2021). The Pan-Tumor Landscape of Targetable Kinase Fusions in Circulating Tumor DNA. Clinical Cancer Research. 28(4). 728–737. 28 indexed citations
11.
Shin, Jong, Paul J. Phelan, Ole Gjoerup, William W. Bachovchin, & Peter A. Bullock. (2020). Characterization of a single chain variable fragment of nivolumab that targets PD-1 and blocks PD-L1 binding. Protein Expression and Purification. 177. 105766–105766. 11 indexed citations
12.
Shin, Jong, Paul J. Phelan, Sung Sun Yim, et al.. (2014). Analysis of JC virus DNA replication using a quantitative and high-throughput assay. Virology. 468-470. 113–125. 2 indexed citations
13.
Boichuk, Sergei, Liang Hu, Kathleen R. Makielski, Pier Paolo Pandolfi, & Ole Gjoerup. (2011). Functional Connection between Rad51 and PML in Homology-Directed Repair. PLoS ONE. 6(10). e25814–e25814. 38 indexed citations
14.
Gjoerup, Ole & Yuan Chang. (2010). Update on Human Polyomaviruses and Cancer. Advances in cancer research. 106. 1–51. 98 indexed citations
15.
Shuda, Masahiro, Reety Arora, Hyun Jin Kwun, et al.. (2009). Human Merkel cell polyomavirus infection I. MCV T antigen expression in Merkel cell carcinoma, lymphoid tissues and lymphoid tumors. International Journal of Cancer. 125(6). 1243–1249. 275 indexed citations
16.
Shuda, Masahiro, Huichen Feng, Hyun Jin Kwun, et al.. (2008). T antigen mutations are a human tumor-specific signature for Merkel cell polyomavirus. Proceedings of the National Academy of Sciences. 105(42). 16272–16277. 550 indexed citations breakdown →
17.
Gjoerup, Ole, Jiaping Wu, Devin Chandler-Militello, et al.. (2007). Surveillance mechanism linking Bub1 loss to the p53 pathway. Proceedings of the National Academy of Sciences. 104(20). 8334–8339. 46 indexed citations
18.
Roberts, Thomas M., et al.. (2007). Bub1: Escapades in a Cellular World. Cell Cycle. 6(14). 1699–1704. 33 indexed citations
19.
Zhao, Jean J., Ole Gjoerup, Romesh R. Subramanian, et al.. (2003). Human mammary epithelial cell transformation through the activation of phosphatidylinositol 3-kinase. Cancer Cell. 3(5). 483–495. 237 indexed citations
20.
Gjoerup, Ole, et al.. (1999). Tangled Webs: Evidence of Cross-Talk Between c-Raf-1 and Akt. Science s STKE. 1999(13). PE1–PE1. 48 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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