Coyin Oh

7.9k total citations · 1 hit paper
8 papers, 636 citations indexed

About

Coyin Oh is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Coyin Oh has authored 8 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 3 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Coyin Oh's work include Cancer Genomics and Diagnostics (6 papers), Tuberous Sclerosis Complex Research (1 paper) and Advanced Breast Cancer Therapies (1 paper). Coyin Oh is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Tuberous Sclerosis Complex Research (1 paper) and Advanced Breast Cancer Therapies (1 paper). Coyin Oh collaborates with scholars based in United States. Coyin Oh's co-authors include Jesse S. Boehm, Yuen‐Yi Tseng, Todd R. Golub, James M. McFarland, Rameen Beroukhim, Uri Ben‐David, Bang Wong, Juliann Shih, Gavin Ha and Noah F. Greenwald and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Coyin Oh

7 papers receiving 629 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Patient-derived xenografts undergo mouse-specific tumor evolution

2017 517 citations Uri Ben‐David, Gavin Ha et al. Nature Genetics profile →

Peers

Coyin Oh

ONCOL

CR

MB

BE

PRM

Emin Ibrahimov Canada

Georg Fluegen Germany

Lele Zhang China

Julie F. Cheung United States

François Kuonen Switzerland

Dina Leitão Portugal

Umut H. Toprak Germany

Wade Anderson United States

Andreas Enns Germany

Yves Hüsemann Germany

Emin Ibrahimov Canada

Coyin Oh

397 ×1.3

ONCOL

239 ×1.1

CR

328 ×1.6

MB

69 ×0.5

BE

127 ×1.1

PRM

Citations per year, relative to Coyin Oh Coyin Oh (= 1×) peers Emin Ibrahimov

Countries citing papers authored by Coyin Oh

Since Specialization

Citations

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

Fields of papers citing papers by Coyin Oh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Coyin Oh

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Gao, Galen F., Coyin Oh, Gordon Saksena, et al.. (2022). Tangent normalization for somatic copy-number inference in cancer genome analysis. Bioinformatics. 38(20). 4677–4686. 4 indexed citations

2.

Ben‐David, Uri, Gavin Ha, Yuen‐Yi Tseng, et al.. (2017). Patient-derived xenografts undergo mouse-specific tumor evolution. Nature Genetics. 49(11). 1567–1575. 517 indexed citations breakdown →

3.

Giannikou, Krinio, Izabela A. Malinowska, Trevor J. Pugh, et al.. (2016). Whole Exome Sequencing Identifies TSC1/TSC2 Biallelic Loss as the Primary and Sufficient Driver Event for Renal Angiomyolipoma Development. PLoS Genetics. 12(8). e1006242–e1006242. 85 indexed citations

4.

Wagle, Nikhil, Corrie Painter, Coyin Oh, et al.. (2016). The Metastatic Breast Cancer Project: A national direct-to-patient initiative to accelerate genomics research.. Journal of Clinical Oncology. 34(15_suppl). LBA1519–LBA1519. 4 indexed citations

5.

Wagle, Nikhil, Karla Helvie, Maxwell R. Lloyd, et al.. (2016). A cancer precision medicine platform for multiple simultaneous genomic assays from metastatic biopsies (bx) in ER+ metastatic breast cancer.. Journal of Clinical Oncology. 34(15_suppl). 11513–11513.

6.

Waks, Adrienne G., Ofir Cohen, Karla Helvie, et al.. (2016). Mechanisms of resistance (MoR) to DNA damaging therapy (tx) in BRCA1/2-deficient (d) metastatic breast cancer (MBC).. Journal of Clinical Oncology. 34(15_suppl). 542–542. 1 indexed citations

7.

Wagle, Nikhil, Corrie Painter, Coyin Oh, et al.. (2016). The Metastatic Breast Cancer Project: A national direct-to-patient initiative to accelerate genomics research.. Journal of Clinical Oncology. 34(18_suppl). LBA1519–LBA1519. 13 indexed citations

8.

Gosline, Sara J.C., Coyin Oh, & Ernest Fraenkel. (2014). SAMNetWeb: identifying condition-specific networks linking signaling and transcription. Bioinformatics. 31(7). 1124–1126. 12 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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