Matthew A. Esparza

26 total papers · 800 total citations
12 papers, 542 citations indexed

About

Matthew A. Esparza is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Matthew A. Esparza has authored 12 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in Matthew A. Esparza's work include RNA Research and Splicing (9 papers), Influenza Virus Research Studies (5 papers) and interferon and immune responses (4 papers). Matthew A. Esparza is often cited by papers focused on RNA Research and Splicing (9 papers), Influenza Virus Research Studies (5 papers) and interferon and immune responses (4 papers). Matthew A. Esparza collaborates with scholars based in United States, China and Cameroon. Matthew A. Esparza's co-authors include Beatriz M. A. Fontoura, Tuyen T. Dang, Jill M. Westcott, Gray W. Pearson, Erin A. Maine, Adolfo Garcı́a-Sastre, Ke Zhang, Yang Xie, Han Sun and Yunyun Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Matthew A. Esparza

11 papers receiving 536 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 A. Esparza 313 129 128 123 82 12 542
Chelsea M. Ruller 292 0.9× 108 0.8× 111 0.9× 61 0.5× 103 1.3× 14 535
Ee-Chee Ren 236 0.8× 62 0.5× 76 0.6× 98 0.8× 69 0.8× 14 467
Cynthia Brisac 156 0.5× 60 0.5× 145 1.1× 84 0.7× 151 1.8× 16 487
Alhousseynou Sall 297 0.9× 66 0.5× 86 0.7× 68 0.6× 59 0.7× 13 533
Inna Ricardo-Lax 261 0.8× 39 0.3× 91 0.7× 234 1.9× 94 1.1× 12 531
Karthik M. Kodigepalli 296 0.9× 63 0.5× 174 1.4× 48 0.4× 75 0.9× 16 523
Fahad Al-Zoghaibi 273 0.9× 93 0.7× 194 1.5× 36 0.3× 98 1.2× 16 556
Marie Lork 270 0.9× 61 0.5× 231 1.8× 70 0.6× 67 0.8× 9 462
Yoshimi Tobita 266 0.8× 79 0.6× 88 0.7× 31 0.3× 133 1.6× 11 580
Maarten Jacquemyn 446 1.4× 93 0.7× 60 0.5× 99 0.8× 46 0.6× 18 600

Countries citing papers authored by Matthew A. Esparza

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Esparza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew A. Esparza

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Esparza. A scholar is included among the top collaborators of Matthew A. Esparza 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 A. Esparza. Matthew A. Esparza 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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