Oliver Venn

5.4k total citations
38 papers, 1.2k citations indexed

About

Oliver Venn is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Oliver Venn has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cancer Research, 21 papers in Molecular Biology and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Oliver Venn's work include Cancer Genomics and Diagnostics (32 papers), Genetic factors in colorectal cancer (9 papers) and Epigenetics and DNA Methylation (8 papers). Oliver Venn is often cited by papers focused on Cancer Genomics and Diagnostics (32 papers), Genetic factors in colorectal cancer (9 papers) and Epigenetics and DNA Methylation (8 papers). Oliver Venn collaborates with scholars based in United States, United Kingdom and Australia. Oliver Venn's co-authors include Gil McVean, Isaac Turner, Ronald E. Bontrop, Molly Przeworski, Ellen M. Leffler, F. Chris H. Franklin, Ian R. Henderson, James D. Higgins, Piotr A. Ziółkowski and Thomas J. Hardcastle and has published in prestigious journals such as Science, Nature Communications and Nature Genetics.

In The Last Decade

Oliver Venn

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oliver Venn United States 15 597 469 386 322 183 38 1.2k
Caitlin Connelly United States 14 499 0.8× 309 0.7× 215 0.6× 108 0.3× 386 2.1× 26 1.2k
Anwesha Nag United States 14 876 1.5× 152 0.3× 249 0.6× 486 1.5× 157 0.9× 24 1.3k
Tommy Gerdes Denmark 20 620 1.0× 859 1.8× 201 0.5× 358 1.1× 84 0.5× 31 1.4k
Anton Valouev United States 20 2.6k 4.3× 500 1.1× 375 1.0× 429 1.3× 126 0.7× 25 3.0k
Seth Frietze United States 26 1.2k 2.1× 343 0.7× 205 0.5× 78 0.2× 246 1.3× 76 1.9k
Alex Cagan United Kingdom 11 625 1.0× 405 0.9× 514 1.3× 38 0.1× 228 1.2× 15 1.3k
Bee Ling Ng United Kingdom 20 721 1.2× 487 1.0× 130 0.3× 316 1.0× 147 0.8× 48 1.4k
Graham McVicker United States 13 1.5k 2.5× 948 2.0× 236 0.6× 183 0.6× 112 0.6× 23 2.2k
Asan China 18 689 1.2× 538 1.1× 160 0.4× 164 0.5× 64 0.3× 31 1.2k
Steven Roels United States 13 838 1.4× 511 1.1× 120 0.3× 150 0.5× 221 1.2× 19 1.3k

Countries citing papers authored by Oliver Venn

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Venn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Venn

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Venn. A scholar is included among the top collaborators of Oliver Venn 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 Oliver Venn. Oliver Venn 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.
Matrana, Marc, Matthew McMillin, Oliver Venn, et al.. (2025). Real-world data and clinical experience from over 100,000 multi-cancer early detection tests. Nature Communications. 16(1). 9625–9625.
2.
Vachon, Celine M., Ran Jiang, Jack Youngren, et al.. (2024). 70MO Cell-free DNA indicates potential preclinical detectability of cancer signals up to 30 months prior to diagnosis. Annals of Oncology. 35. S242–S242. 1 indexed citations
3.
Gordon, Olivia, Melissa J. Margolis, Youjin Oh, et al.. (2024). 1184P Early real-world experience with positive multi-cancer early detection (MCED) test cases and negative initial diagnostic work-up. Annals of Oncology. 35. S766–S767. 3 indexed citations
4.
Hubbell, Earl, et al.. (2023). Modeled residual current cancer risk after clinical investigation of a positive multicancer early detection test result. Cancer. 129(13). 2056–2063. 6 indexed citations
5.
Salles, Gilles, Margarita Lopatin, Kathryn N. Kurtzman, et al.. (2023). Multi-Cancer Early Detection Test Is Sensitive and Accurate in Detecting Shared DNA Methylation Signal in a Variety of Lymphoid and Plasma Cell Neoplasms. Blood. 142(Supplement 1). 3646–3646. 1 indexed citations
6.
Venn, Oliver, Joerg Bredno, Earl Hubbell, et al.. (2023). Abstract C139: The robustness of a targeted methylation-based multi-cancer early detection (MCED) test to population differences in self-reported ethnicity. Cancer Epidemiology Biomarkers & Prevention. 32(12_Supplement). C139–C139. 1 indexed citations
7.
Munugalavadla, Veerendra, Aleksandra Markovets, Qin‐Wen Liu, et al.. (2023). Abstract 3369: Utility of ctDNA-based targeted methylation MRD assay for hematological malignancies. Cancer Research. 83(7_Supplement). 3369–3369. 2 indexed citations
8.
Shi, Alvin, Abdullah Mahmood Ali, Gordon Cann, et al.. (2023). Methylation-based prediction of myelodysplastic syndrome survival outcomes.. Journal of Clinical Oncology. 41(16_suppl). 7058–7058.
9.
Bredno, Joerg, Oliver Venn, Xiaoji Chen, Peter Freese, & Joshua J. Ofman. (2022). Circulating Tumor DNA Allele Fraction. American Journal Of Pathology. 192(10). 1368–1378. 19 indexed citations
10.
Chen, Xiaoji, Dong Zhao, Earl Hubbell, et al.. (2021). Prognostic Significance of Blood-Based Multi-cancer Detection in Plasma Cell-Free DNA. Clinical Cancer Research. 27(15). 4221–4229. 79 indexed citations
11.
Bredno, Joerg, Jafi A. Lipson, Oliver Venn, Alexander M. Aravanis, & Arash Jamshidi. (2021). Clinical correlates of circulating cell-free DNA tumor fraction. PLoS ONE. 16(8). e0256436–e0256436. 45 indexed citations
12.
Liu, Qin‐Wen, Rita Shaknovich, Xiaoji Chen, et al.. (2020). Abstract 139: cfDNA methylation profiling distinguishes lineage-specific hematologic malignancies. Cancer Research. 80(16_Supplement). 139–139. 1 indexed citations
13.
Singh, Pranav, Oliver Venn, Earl Hubbell, et al.. (2020). Tumor methylation patterns to measure tumor fraction in cell-free DNA.. Journal of Clinical Oncology. 38(15_suppl). 3052–3052. 2 indexed citations
14.
Hubbell, Earl, Tara Maddala, Oliver Venn, et al.. (2019). Abstract 3372: Cell-free DNA (cfDNA) fragment length patterns of tumor- and blood-derived variants in participants with and without cancer. 3372–3372. 1 indexed citations
15.
Hubbell, Earl, Tara Maddala, Oliver Venn, et al.. (2019). Abstract 3372: Cell-free DNA (cfDNA) fragment length patterns of tumor- and blood-derived variants in participants with and without cancer. Cancer Research. 79(13_Supplement). 3372–3372. 1 indexed citations
16.
Oxnard, Geoffrey R., Eric A. Klein, Michael V. Seiden, et al.. (2019). Simultaneous multi-cancer detection and tissue of origin (TOO) localization using targeted bisulfite sequencing of plasma cell-free DNA (cfDNA). Annals of Oncology. 30. v912–v912. 25 indexed citations
17.
Venn, Oliver, Alexander Dilthey, Avinash Gupta, et al.. (2017). Characterisation of the changing genomic landscape of metastatic melanoma using cell free DNA. npj Genomic Medicine. 2(1). 25–25. 8 indexed citations
18.
Singhal, Sonal, Ellen M. Leffler, Isaac Turner, et al.. (2015). Stable recombination hotspots in birds. Science. 350(6263). 928–932. 226 indexed citations
19.
Venn, Oliver, Isaac Turner, Iain Mathieson, et al.. (2014). Strong male bias drives germline mutation in chimpanzees. Science. 344(6189). 1272–1275. 113 indexed citations
20.
Choi, Kyuha, Xiaohui Zhao, Krystyna A. Kelly, et al.. (2013). Arabidopsis meiotic crossover hot spots overlap with H2A.Z nucleosomes at gene promoters. Nature Genetics. 45(11). 1327–1336. 264 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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