Laura C. Miller

104 total papers · 3.0k total citations
75 papers, 2.3k citations indexed

About

Laura C. Miller is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics. According to data from OpenAlex, Laura C. Miller has authored 75 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Animal Science and Zoology, 32 papers in Infectious Diseases and 24 papers in Genetics. Recurrent topics in Laura C. Miller's work include Animal Virus Infections Studies (35 papers), Viral gastroenteritis research and epidemiology (26 papers) and Virus-based gene therapy research (23 papers). Laura C. Miller is often cited by papers focused on Animal Virus Infections Studies (35 papers), Viral gastroenteritis research and epidemiology (26 papers) and Virus-based gene therapy research (23 papers). Laura C. Miller collaborates with scholars based in United States, China and South Korea. Laura C. Miller's co-authors include Kelly M. Lager, Nicole Cloonan, Cynthia Shannon Weickert, Stu G. Fillman, Vibeke S. Catts, Jenny Wong, Murray J. Cairns, Kay S. Faaberg, James M. Fox and Marcus E. Kehrli and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Laura C. Miller

72 papers receiving 2.3k citations

Author Peers

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

Author Last Decade Papers Cites
Laura C. Miller 943 903 721 445 354 75 2.3k
Anne-Lie Blomström 712 0.8× 963 1.1× 509 0.7× 201 0.5× 156 0.4× 61 2.0k
Terry L. Lewis 717 0.8× 836 0.9× 593 0.8× 368 0.8× 53 0.1× 29 2.3k
Spyridon K. Kritas 657 0.7× 404 0.4× 249 0.3× 464 1.0× 49 0.1× 126 2.5k
Maneth Gravell 371 0.4× 454 0.5× 377 0.5× 485 1.1× 93 0.3× 53 2.6k
Kathryn M. Carbone 432 0.5× 776 0.9× 399 0.6× 231 0.5× 100 0.3× 77 2.8k
Liv Bode 625 0.7× 630 0.7× 366 0.5× 204 0.5× 106 0.3× 60 2.3k
S.J. Koopmans 598 0.6× 164 0.2× 217 0.3× 697 1.6× 72 0.2× 64 3.0k
Ningguo Feng 858 0.9× 1.6k 1.8× 406 0.6× 310 0.7× 118 0.3× 60 2.7k
S. Herzog 506 0.5× 467 0.5× 224 0.3× 157 0.4× 178 0.5× 42 2.0k
Steven A. Rubin 296 0.3× 905 1.0× 398 0.6× 286 0.6× 67 0.2× 86 2.9k

Countries citing papers authored by Laura C. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Laura C. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura C. Miller. 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 Laura C. Miller. The network helps show where Laura C. Miller may publish in the future.

Co-authorship network of co-authors of Laura C. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Laura C. Miller. A scholar is included among the top collaborators of Laura C. Miller 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 Laura C. Miller. Laura C. Miller 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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