Matthew Frankel

42 total papers · 1.3k total citations
30 papers, 938 citations indexed

About

Matthew Frankel is a scholar working on Epidemiology, Hepatology and Genetics. According to data from OpenAlex, Matthew Frankel has authored 30 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 11 papers in Hepatology and 9 papers in Genetics. Recurrent topics in Matthew Frankel's work include Hepatitis C virus research (7 papers), Biochemical and Structural Characterization (5 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). Matthew Frankel is often cited by papers focused on Hepatitis C virus research (7 papers), Biochemical and Structural Characterization (5 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). Matthew Frankel collaborates with scholars based in United States, United Kingdom and Germany. Matthew Frankel's co-authors include Olaf Schneewind, Dominique Missiakas, Laura J. Knoll, Yvonne G. Y. Chan, James N. Lowder, William J. Sandborn, Stephan R. Targan, Vanina Dengler Haunreiter, Antoni P. A. Hendrickx and Scott E. Plevy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Gastroenterology.

In The Last Decade

Matthew Frankel

27 papers receiving 924 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthew Frankel 336 299 263 243 180 30 938
Holly Hamilton 628 1.9× 125 0.4× 271 1.0× 231 1.0× 95 0.5× 33 1.2k
Cristina Alaimo 345 1.0× 375 1.3× 166 0.6× 154 0.6× 70 0.4× 19 979
Amit Lahiri 390 1.2× 191 0.6× 138 0.5× 194 0.8× 383 2.1× 32 1.1k
Sunil K. Khattar 344 1.0× 326 1.1× 186 0.7× 542 2.2× 100 0.6× 38 1.1k
Daniel L. Popkin 283 0.8× 154 0.5× 174 0.7× 256 1.1× 379 2.1× 37 1.1k
G Martinetti 420 1.3× 367 1.2× 115 0.4× 195 0.8× 147 0.8× 31 1.2k
Gavan Holloway 252 0.8× 642 2.1× 192 0.7× 172 0.7× 221 1.2× 26 1.1k
Nonia Pariente 560 1.7× 293 1.0× 402 1.5× 187 0.8× 53 0.3× 28 1.1k
Mingyao Tian 474 1.4× 374 1.3× 129 0.5× 126 0.5× 206 1.1× 44 1.1k
Robert C. Colgrove 224 0.7× 299 1.0× 140 0.5× 741 3.0× 146 0.8× 29 1.0k

Countries citing papers authored by Matthew Frankel

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Frankel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Frankel

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

All Works

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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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