Vincent T. Metzger

556 total citations
9 papers, 379 citations indexed

About

Vincent T. Metzger is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Vincent T. Metzger has authored 9 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Epidemiology. Recurrent topics in Vincent T. Metzger's work include Bioinformatics and Genomic Networks (3 papers), Protein Structure and Dynamics (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Vincent T. Metzger is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Protein Structure and Dynamics (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Vincent T. Metzger collaborates with scholars based in United States, Denmark and United Kingdom. Vincent T. Metzger's co-authors include J. Andrew McCammon, Paul M. Gasper, Sara E. Nichols, Yinglong Miao, Peter M. Kekenes–Huskey, Changsun Eun, James O. Lloyd‐Smith, Leor S. Weinberger, Barry J. Grant and Keith J. Kelleher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Chemical Physics.

In The Last Decade

Vincent T. Metzger

9 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vincent T. Metzger United States	7	308	79	51	36	25	9	379
Maxime Louet France	12	340 1.1×	108 1.4×	50 1.0×	40 1.1×	32 1.3×	25	465
George Patargias United Kingdom	9	278 0.9×	37 0.5×	36 0.7×	26 0.7×	14 0.6×	10	412
Shane M. Devine Australia	17	390 1.3×	127 1.6×	111 2.2×	17 0.5×	26 1.0×	38	730
Hadas Leonov Israel	10	298 1.0×	48 0.6×	35 0.7×	64 1.8×	16 0.6×	13	422
Ji Young Lee United States	11	375 1.2×	113 1.4×	86 1.7×	37 1.0×	26 1.0×	22	499
Ismael Rodríguez‐Espigares Spain	7	395 1.3×	106 1.3×	43 0.8×	31 0.9×	22 0.9×	10	466
Amanda Wakefield United States	10	359 1.2×	38 0.5×	160 3.1×	38 1.1×	49 2.0×	18	461
Basak Isin United States	7	344 1.1×	117 1.5×	53 1.0×	35 1.0×	19 0.8×	7	417
Valérie Campágna‐Slater Canada	12	611 2.0×	44 0.6×	81 1.6×	33 0.9×	7 0.3×	15	757
Benjamin K. Mueller United States	8	361 1.2×	43 0.5×	23 0.5×	29 0.8×	33 1.3×	12	443

Countries citing papers authored by Vincent T. Metzger

Since Specialization

Citations

This map shows the geographic impact of Vincent T. Metzger'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 Vincent T. Metzger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent T. Metzger more than expected).

Fields of papers citing papers by Vincent T. Metzger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent T. Metzger. 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 Vincent T. Metzger. The network helps show where Vincent T. Metzger may publish in the future.

Co-authorship network of co-authors of Vincent T. Metzger

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

All Works

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9 of 9 papers shown

Metzger, Vincent T., Daniel C. Cannon, Jeremy J. Yang, et al.. (2024). TIN-X version 3: update with expanded dataset and modernized architecture for enhanced illumination of understudied targets. PeerJ. 12. e17470–e17470. 1 indexed citations

Oprea, Tudor I., Cristian Bologa, Jayme Holmes, et al.. (2024). Overview of the Knowledge Management Center for Illuminating the Druggable Genome. Drug Discovery Today. 29(3). 103882–103882. 5 indexed citations

Kelleher, Keith J., Timothy Sheils, Stephen L. Mathias, et al.. (2022). Pharos 2023: an integrated resource for the understudied human proteome. Nucleic Acids Research. 51(D1). D1405–D1416. 50 indexed citations

Kropiwnicki, Eryk, Jessica Binder, Jeremy J. Yang, et al.. (2022). Getting Started with the IDG KMC Datasets and Tools. Current Protocols. 2(1). e355–e355. 8 indexed citations

Metzger, Vincent T., Changsun Eun, Peter M. Kekenes–Huskey, Gary Huber, & J. Andrew McCammon. (2014). Electrostatic Channeling in P. falciparum DHFR-TS: Brownian Dynamics and Smoluchowski Modeling. Biophysical Journal. 107(10). 2394–2402. 20 indexed citations

Eun, Changsun, Peter M. Kekenes–Huskey, Vincent T. Metzger, & J. Andrew McCammon. (2014). A model study of sequential enzyme reactions and electrostatic channeling. The Journal of Chemical Physics. 140(10). 105101–105101. 44 indexed citations

Miao, Yinglong, Sara E. Nichols, Paul M. Gasper, Vincent T. Metzger, & J. Andrew McCammon. (2013). Activation and dynamic network of the M2 muscarinic receptor. Proceedings of the National Academy of Sciences. 110(27). 10982–10987. 187 indexed citations

Kekenes–Huskey, Peter M., Vincent T. Metzger, Barry J. Grant, & J. Andrew McCammon. (2012). Calcium binding and allosteric signaling mechanisms for the sarcoplasmic reticulum Ca²⁺ ATPase. Protein Science. 21(10). 1429–1443. 26 indexed citations

Metzger, Vincent T., James O. Lloyd‐Smith, & Leor S. Weinberger. (2011). Autonomous Targeting of Infectious Superspreaders Using Engineered Transmissible Therapies. PLoS Computational Biology. 7(3). e1002015–e1002015. 38 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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