Matthew D. Wegner

25 total papers · 655 total citations
20 papers, 465 citations indexed

About

Matthew D. Wegner is a scholar working on Infectious Diseases, Small Animals and Animal Science and Zoology. According to data from OpenAlex, Matthew D. Wegner has authored 20 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 5 papers in Small Animals and 4 papers in Animal Science and Zoology. Recurrent topics in Matthew D. Wegner's work include Viral gastroenteritis research and epidemiology (4 papers), Animal Virus Infections Studies (4 papers) and Virus-based gene therapy research (4 papers). Matthew D. Wegner is often cited by papers focused on Viral gastroenteritis research and epidemiology (4 papers), Animal Virus Infections Studies (4 papers) and Virus-based gene therapy research (4 papers). Matthew D. Wegner collaborates with scholars based in Thailand, United States and United Kingdom. Matthew D. Wegner's co-authors include Kepalee Saeng‐chuto, Dachrit Nilubol, Gun Temeeyasen, Pranee Rodtian, Thitima Tripipat, Adthakorn Madapong, Jittima Piriyapongsa, Angkana Tantituvanont, Stuart D. Blacksell and Mavuto Mukaka and has published in prestigious journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy and Clinical Chemistry.

In The Last Decade

Matthew D. Wegner

18 papers receiving 462 citations

Author Peers

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

Author						Papers	Cites
Matthew D. Wegner	258	236	141	127	123	20	465
Maureen Hoch Vieira Fernandes	241 0.9×	147 0.6×	211 1.5×	67 0.5×	110 0.9×	20	473
Chris Rademacher	278 1.1×	288 1.2×	258 1.8×	129 1.0×	106 0.9×	24	522
Huawei Zhang	185 0.7×	163 0.7×	191 1.4×	82 0.6×	140 1.1×	23	466
Dian‐Hong Lv	242 0.9×	283 1.2×	86 0.6×	216 1.7×	117 1.0×	25	540
Ilias Bouzalas	337 1.3×	163 0.7×	70 0.5×	129 1.0×	65 0.5×	23	475
Pierfrancesco Pinto	350 1.4×	245 1.0×	123 0.9×	162 1.3×	138 1.1×	20	467
Yaxuan Sun	203 0.8×	166 0.7×	168 1.2×	94 0.7×	80 0.7×	16	431
B. Hyllseth	116 0.4×	169 0.7×	155 1.1×	89 0.7×	92 0.7×	19	457
A.O. Betts	193 0.7×	210 0.9×	112 0.8×	78 0.6×	157 1.3×	33	467
Mark Mogler	223 0.9×	150 0.6×	234 1.7×	72 0.6×	81 0.7×	20	493

Countries citing papers authored by Matthew D. Wegner

Since Specialization

Citations

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

Fields of papers citing papers by Matthew D. Wegner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew D. Wegner

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