Connor O. McCoy

1.8k total citations · 1 hit paper
14 papers, 1.3k citations indexed

About

Connor O. McCoy is a scholar working on Molecular Biology, Virology and Genetics. According to data from OpenAlex, Connor O. McCoy has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Virology and 4 papers in Genetics. Recurrent topics in Connor O. McCoy's work include HIV Research and Treatment (4 papers), HIV/AIDS Research and Interventions (3 papers) and Genetic diversity and population structure (3 papers). Connor O. McCoy is often cited by papers focused on HIV Research and Treatment (4 papers), HIV/AIDS Research and Interventions (3 papers) and Genetic diversity and population structure (3 papers). Connor O. McCoy collaborates with scholars based in United States, Kenya and Australia. Connor O. McCoy's co-authors include F. A. Matsen, Noah G. Hoffman, Roger E. Bumgarner, Robert W. Hall, David N. Fredricks, Martin Morgan, Frederick J. Ross, Sujatha Srinivasan, Jeanne Marrazzo and Tina L. Fiedler and has published in prestigious journals such as Bioinformatics, PLoS ONE and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Connor O. McCoy

14 papers receiving 1.2k citations

Hit Papers

align trajectories sort by overperformance

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.

Bacterial Communities in Women with Bacterial Vaginosis: High Resolution Phylogenetic Analyses Reveal Relationships of Microbiota to Clinical Criteria

2012 516 citations Sujatha Srinivasan, Noah G. Hoffman et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Connor O. McCoy United States	11	486	418	380	255	237	14	1.3k
Florence Fenollar France	21	208 0.4×	511 1.2×	461 1.2×	39 0.2×	290 1.2×	42	1.5k
Carol B. Grindem United States	22	114 0.2×	175 0.4×	130 0.3×	117 0.5×	211 0.9×	81	1.6k
Mihoko Kikuchi Japan	20	247 0.5×	307 0.7×	123 0.3×	46 0.2×	380 1.6×	72	1.6k
Manolis N. Saridomichelakis Greece	29	81 0.2×	877 2.1×	107 0.3×	88 0.3×	440 1.9×	116	2.5k
Wayne A. Jensen United States	25	152 0.3×	254 0.6×	289 0.8×	370 1.5×	698 2.9×	47	1.9k
C Christiansen Denmark	16	167 0.3×	136 0.3×	220 0.6×	117 0.5×	103 0.4×	38	952
Jessica Ingersoll United States	16	154 0.3×	353 0.8×	202 0.5×	194 0.8×	491 2.1×	34	988
Christopher P. Kolbert United States	21	485 1.0×	350 0.8×	84 0.2×	29 0.1×	663 2.8×	34	1.7k
Sumathi Sankaran‐Walters United States	17	362 0.7×	212 0.5×	71 0.2×	471 1.8×	323 1.4×	25	1.2k
Bernice Huang United States	14	379 0.8×	187 0.4×	215 0.6×	16 0.1×	141 0.6×	19	921

Countries citing papers authored by Connor O. McCoy

Since Specialization

Citations

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

Fields of papers citing papers by Connor O. McCoy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Connor O. McCoy. 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 Connor O. McCoy. The network helps show where Connor O. McCoy may publish in the future.

Co-authorship network of co-authors of Connor O. McCoy

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

All Works

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14 of 14 papers shown

Fourment, Mathieu, et al.. (2017). Effective Online Bayesian Phylogenetics via Sequential Monte Carlo with Guided Proposals. Systematic Biology. 67(3). 490–502. 22 indexed citations

Baeten, Jared M., Connor O. McCoy, Deborah Donnell, et al.. (2015). Preexposure prophylaxis-selected drug resistance decays rapidly after drug cessation. AIDS. 30(1). 31–35. 24 indexed citations

Gall, Alevtina, Jutta Fero, Connor O. McCoy, et al.. (2015). Bacterial Composition of the Human Upper Gastrointestinal Tract Microbiome Is Dynamic and Associated with Genomic Instability in a Barrett’s Esophagus Cohort. PLoS ONE. 10(6). e0129055–e0129055. 97 indexed citations

McCoy, Connor O.. (2015). ighutil: v0.1.1. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

McCoy, Connor O., Trevor Bedford, Vladimir N. Minin, et al.. (2015). Quantifying evolutionary constraints on B-cell affinity maturation. Philosophical Transactions of the Royal Society B Biological Sciences. 370(1676). 20140244–20140244. 31 indexed citations

Salipante, Stephen J., Dhruba J. SenGupta, Christopher Rosenthal, et al.. (2013). Rapid 16S rRNA Next-Generation Sequencing of Polymicrobial Clinical Samples for Diagnosis of Complex Bacterial Infections. PLoS ONE. 8(5). e65226–e65226. 174 indexed citations

Ronen, Keshet, Connor O. McCoy, F. A. Matsen, et al.. (2013). HIV-1 Superinfection Occurs Less Frequently Than Initial Infection in a Cohort of High-Risk Kenyan Women. PLoS Pathogens. 9(8). e1003593–e1003593. 36 indexed citations

McCoy, Connor O. & F. A. Matsen. (2013). Abundance-weighted phylogenetic diversity measures distinguish microbial community states and are robust to sampling depth. PeerJ. 1. e157–e157. 50 indexed citations

Matsen, F. A., et al.. (2013). Minimizing the Average Distance to a Closest Leaf in a Phylogenetic Tree. Systematic Biology. 62(6). 824–836. 8 indexed citations

10.

Lehman, Dara A., Dalton Wamalwa, Connor O. McCoy, et al.. (2012). Low-Frequency Nevirapine Resistance at Multiple Sites May Predict Treatment Failure in Infants on Nevirapine-Based Treatment. JAIDS Journal of Acquired Immune Deficiency Syndromes. 60(3). 225–233. 34 indexed citations

11.

Lim, Efrem S., Oliver I. Fregoso, Connor O. McCoy, et al.. (2012). The Ability of Primate Lentiviruses to Degrade the Monocyte Restriction Factor SAMHD1 Preceded the Birth of the Viral Accessory Protein Vpx. Cell Host & Microbe. 11(2). 194–204. 213 indexed citations

12.

Srinivasan, Sujatha, Noah G. Hoffman, Martin Morgan, et al.. (2012). Bacterial Communities in Women with Bacterial Vaginosis: High Resolution Phylogenetic Analyses Reveal Relationships of Microbiota to Clinical Criteria. PLoS ONE. 7(6). e37818–e37818. 516 indexed citations breakdown →

13.

Levine, Mia T, Connor O. McCoy, Danielle Vermaak, et al.. (2012). Phylogenomic Analysis Reveals Dynamic Evolutionary History of the Drosophila Heterochromatin Protein 1 (HP1) Gene Family. PLoS Genetics. 8(6). e1002729–e1002729. 41 indexed citations

14.

McCoy, Connor O., et al.. (2012). nestly—a framework for running software with nested parameter choices and aggregating results. Bioinformatics. 29(3). 387–388. 7 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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