Matthew A. Esparza

808 citations
12 papers · 555 indexed · h-index 9
Topics
RNA Research and Splicing (9 papers)Influenza Virus Research Studies (5 papers)interferon and immune responses (4 papers)
Partner nations
United StatesChinaSpain

In The Last Decade

Matthew A. Esparza

11 papers receiving 549 citations

Peers

Matthew A. Esparza
Comparison fields: 5 of 55
  • Molecular Biology 321
  • Oncology 133
  • Immunology 129
  • Infectious Diseases 124
  • Epidemiology 88
Replace Jonathan Barroso-González with:
Jonathan Barroso-González Spain
Chitose Ishihara Japan
Gabriele Zybarth United States
Xianbo Huang China
Peter Kronenberger Belgium
Caterina Iorio Canada
Kristiane Wetzel Germany
Gilles Besin Canada
Brendan Bell Canada
Nancy Schek United States
Matthew A. Esparza relative to Jonathan Barroso-González Spain Jonathan Barroso-González's profile →
Citations per field
00.5×1.6×
Jonathan Barroso-González · 1×
Citations per year

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

12 of 12 papers shown
#WorkIndexed citations
1 6
2 14
3 19
4 6
5 10
6 151
7 14
8 54
9 78
10 69
11 134
12 0

About Matthew A. Esparza

Matthew A. Esparza is a scholar working on Immunology, Molecular Biology and Epidemiology, having authored 12 papers that have together received 555 indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), Influenza Virus Research Studies (5 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Infectious Diseases (124 citations), Immunology (129 citations) and Oncology (133 citations). Matthew A. Esparza has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Beatriz M. A. Fontoura, Tuyen T. Dang, Jill M. Westcott, Erin A. Maine, Gray W. Pearson, Adolfo Garcı́a-Sastre, Ke Zhang, Yang Xie, Raquel Muñoz-Moreno and Yunyun Zhou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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