Erin McCarthy

1.3k total citations · 1 hit paper
24 papers, 767 citations indexed

About

Erin McCarthy is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Erin McCarthy has authored 24 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Erin McCarthy's work include Cancer Genomics and Diagnostics (6 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Semantic Web and Ontologies (4 papers). Erin McCarthy is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Semantic Web and Ontologies (4 papers). Erin McCarthy collaborates with scholars based in Canada, United States and Netherlands. Erin McCarthy's co-authors include Mathias Ehrich, Paul Oeth, Lin Tang, Vach Angkachatchai, Charles R. Cantor, Tim Lu, Ron McCullough, Cosmin Deciu, Don Hutchison and John A. Tynan and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Erin McCarthy

21 papers receiving 730 citations

Hit Papers

Noninvasive detection of fetal trisomy 21 by sequencing o... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erin McCarthy Canada 10 367 282 183 182 148 24 767
Celeste McBride United States 4 208 0.6× 327 1.2× 79 0.4× 81 0.4× 244 1.6× 4 704
Ya Gao China 12 495 1.3× 194 0.7× 78 0.4× 176 1.0× 203 1.4× 45 709
Wenlei Peng China 14 124 0.3× 486 1.7× 508 2.8× 25 0.1× 65 0.4× 19 815
Samuel Lessard United States 7 108 0.3× 651 2.3× 67 0.4× 33 0.2× 201 1.4× 19 911
Lovisa Lovmar Sweden 9 39 0.1× 251 0.9× 72 0.4× 31 0.2× 237 1.6× 16 499
Junghyun Namkung South Korea 15 36 0.1× 279 1.0× 101 0.6× 21 0.1× 138 0.9× 37 659
Fatima Dhalla United Kingdom 14 33 0.1× 210 0.7× 42 0.2× 58 0.3× 152 1.0× 20 794
Quentin B. Vincent France 9 20 0.1× 210 0.7× 89 0.5× 80 0.4× 280 1.9× 12 638
Nidhan K. Biswas India 15 15 0.0× 297 1.1× 138 0.8× 143 0.8× 38 0.3× 46 554
Fangqin Lin China 11 64 0.2× 291 1.0× 99 0.5× 9 0.0× 148 1.0× 17 512

Countries citing papers authored by Erin McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Erin McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erin McCarthy

This figure shows the co-authorship network connecting the top 25 collaborators of Erin McCarthy. A scholar is included among the top collaborators of Erin McCarthy 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 Erin McCarthy. Erin McCarthy 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
3.
Herman, Emily K., Simon J. G. Otto, Erin McCarthy, et al.. (2024). Bacterial enrichment prior to third-generation metagenomic sequencing improves detection of BRD pathogens and genetic determinants of antimicrobial resistance in feedlot cattle. Frontiers in Microbiology. 15. 1386319–1386319. 11 indexed citations
4.
Jensen, Taylor J., Aaron M. Goodman, Christopher K. Ellison, et al.. (2021). Genome-wide Sequencing of Cell-free DNA Enables Detection of Copy-number Alterations in Patients with Cancer Where Tissue Biopsy is Not Feasible. Molecular Cancer Therapeutics. 20(11). 2274–2279. 7 indexed citations
5.
Haan, David, Anna Bergamaschi, Yuhong Ning, et al.. (2021). Genome-wide 5hmC profiles to enable cancer detection and tissue of origin classification in breast, colorectal, lung, ovarian, and pancreatic cancers.. Journal of Clinical Oncology. 39(15_suppl). 3044–3044. 1 indexed citations
6.
Guler, Gulfem D., Yuhong Ning, Chin‐Jen Ku, et al.. (2020). Detection of early stage pancreatic cancer using 5-hydroxymethylcytosine signatures in circulating cell free DNA. Nature Communications. 11(1). 5270–5270. 119 indexed citations
7.
King, Justin J., et al.. (2019). AID, APOBEC3A and APOBEC3B efficiently deaminate deoxycytidines neighboring DNA damage induced by oxidation or alkylation. Biochimica et Biophysica Acta (BBA) - General Subjects. 1863(11). 129415–129415. 12 indexed citations
8.
Collin, François, Yuhong Ning, Gulfem D. Guler, et al.. (2019). Abstract 1372: Detection of early stage pancreatic cancer using 5–hydroxymethylcytosine signatures in circulating cell free DNA. Cancer Research. 79(13_Supplement). 1372–1372. 1 indexed citations
9.
Jensen, Taylor J., Aaron M. Goodman, Shumei Kato, et al.. (2018). Genome-Wide Sequencing of Cell-Free DNA Identifies Copy-Number Alterations That Can Be Used for Monitoring Response to Immunotherapy in Cancer Patients. Molecular Cancer Therapeutics. 18(2). 448–458. 67 indexed citations
10.
Davidson, John F., et al.. (2017). Analyses of 16S rRNA and cpn60 gene sequences provide complementary information about potentially useful and harmful oil field microbiota. International Biodeterioration & Biodegradation. 123. 320–327. 6 indexed citations
11.
Links, Matthew G., et al.. (2016). Enrichment and identification of biosurfactant-producing oil field microbiota utilizing electron acceptors other than oxygen and nitrate. Journal of Biotechnology. 231. 9–15. 8 indexed citations
12.
Ellison, Christopher K., Youting Sun, Grant Hogg, et al.. (2016). Using Targeted Sequencing of Paralogous Sequences for Noninvasive Detection of Selected Fetal Aneuploidies. Clinical Chemistry. 62(12). 1621–1629. 6 indexed citations
13.
McCarthy, Erin, et al.. (2013). The SADI Personal Health Lens: A Web Browser-Based System for Identifying Personally Relevant Drug Interactions. SHILAP Revista de lepidopterología. 2(1). e14–e14. 6 indexed citations
14.
Ehrich, Mathias, Cosmin Deciu, John A. Tynan, et al.. (2011). Noninvasive detection of fetal trisomy 21 by sequencing of DNA in maternal blood: a study in a clinical setting. American Journal of Obstetrics and Gynecology. 204(3). 205.e1–205.e11. 371 indexed citations breakdown →
15.
Ehrich, Mathias, Cosmin Deciu, John A. Tynan, et al.. (2011). Noninvasive Detection of Fetal Trisomy 21 by Sequencing of DNA in Maternal Blood: A Study in a Clinical Setting. Obstetrical & Gynecological Survey. 66(6). 342–344. 9 indexed citations
16.
Vandervalk, Benjamin P., Erin McCarthy, & Mark D. Wilkinson. (2010). SHARE & The Semantic Web - This Time it's Personal!. 1 indexed citations
17.
McCarthy, Erin, Benjamin P. Vandervalk, & Mark D. Wilkinson. (2010). SPARQL Assist Language-Neutral Query Composer.. 1 indexed citations
18.
McCarthy, Erin, et al.. (2009). Optimization of Distributed SPARQL Queries Using Edmonds' Algorithm and Prim's Algorithm. 330–337. 11 indexed citations
19.
McCarthy, Erin, et al.. (2009). Moby and Moby 2: Creatures of the Deep (Web). Briefings in Bioinformatics. 10(2). 114–128. 14 indexed citations
20.
Coughlan, Jamie, Erin McCarthy, P.J. O'Donoghue, et al.. (1996). Four polymorphic microsatellites in turbot Scophthalmus maximus. Animal Genetics. 27(6). 441–441. 22 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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