Jon D. Reuter

40 total papers · 1.3k total citations
32 papers, 994 citations indexed

About

Jon D. Reuter is a scholar working on Epidemiology, Infectious Diseases and Genetics. According to data from OpenAlex, Jon D. Reuter has authored 32 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 8 papers in Infectious Diseases and 8 papers in Genetics. Recurrent topics in Jon D. Reuter's work include Virus-based gene therapy research (7 papers), Cytomegalovirus and herpesvirus research (5 papers) and Viral gastroenteritis research and epidemiology (4 papers). Jon D. Reuter is often cited by papers focused on Virus-based gene therapy research (7 papers), Cytomegalovirus and herpesvirus research (5 papers) and Viral gastroenteritis research and epidemiology (4 papers). Jon D. Reuter collaborates with scholars based in United States, Canada and China. Jon D. Reuter's co-authors include Andrzej Myc, James R. Baker, Tarek Hamouda, Jean H. Wilson, Anthony N. van den Pol, John K. Rose, Anjeanette Roberts, Michael M. Hayes, René Roy and Rui Yin and has published in prestigious journals such as Journal of Neuroscience, Journal of Virology and Bioconjugate Chemistry.

In The Last Decade

Jon D. Reuter

32 papers receiving 949 citations

Author Peers

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

Author Last Decade Papers Cites
Jon D. Reuter 295 267 146 140 132 32 994
Pavel Kulich 145 0.5× 284 1.1× 166 1.1× 91 0.7× 95 0.7× 70 1.2k
Michael M. Hayes 380 1.3× 359 1.3× 68 0.5× 53 0.4× 40 0.3× 26 1.1k
Yarong Wu 165 0.6× 373 1.4× 135 0.9× 132 0.9× 149 1.1× 47 1.0k
Dehui Sun 99 0.3× 249 0.9× 255 1.7× 171 1.2× 76 0.6× 28 1.0k
Sapna Sharma 124 0.4× 166 0.6× 97 0.7× 46 0.3× 387 2.9× 38 1.2k
Nicholas J. Vardaxis 232 0.8× 291 1.1× 172 1.2× 61 0.4× 165 1.3× 27 1.2k
Heejoon Myung 92 0.3× 458 1.7× 95 0.7× 105 0.8× 197 1.5× 59 1.1k
Zongyan Chen 210 0.7× 296 1.1× 352 2.4× 192 1.4× 123 0.9× 74 1.2k
Xiang Zhao 198 0.7× 215 0.8× 137 0.9× 28 0.2× 67 0.5× 34 952
Rie Watanabe 179 0.6× 409 1.5× 222 1.5× 239 1.7× 72 0.5× 78 1.2k

Countries citing papers authored by Jon D. Reuter

Since Specialization
Citations

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

Fields of papers citing papers by Jon D. Reuter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon D. Reuter

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026