Judith M. Phillips

13 total papers · 545 total citations
11 papers, 420 citations indexed

About

Judith M. Phillips is a scholar working on Infectious Diseases, Animal Science and Zoology and Immunology. According to data from OpenAlex, Judith M. Phillips has authored 11 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 8 papers in Animal Science and Zoology and 3 papers in Immunology. Recurrent topics in Judith M. Phillips's work include Animal Virus Infections Studies (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Viral gastroenteritis research and epidemiology (3 papers). Judith M. Phillips is often cited by papers focused on Animal Virus Infections Studies (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Viral gastroenteritis research and epidemiology (3 papers). Judith M. Phillips collaborates with scholars based in United States, Czechia and South Africa. Judith M. Phillips's co-authors include Susan R. Weiss, Anthony R. Fehr, Rudragouda Channappanavar, Stanley Perlman, David K. Meyerholz, Jeremiah Athmer, Tom Gallagher, Volker M. Vogt, Yize Li and Susan J. Bender and has published in prestigious journals such as The EMBO Journal, Journal of Virology and Trends in Pharmacological Sciences.

In The Last Decade

Judith M. Phillips

11 papers receiving 415 citations

Author Peers

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

Author Last Decade Papers Cites
Judith M. Phillips 253 96 87 80 76 11 420
Jenna N. Kelly 218 0.9× 47 0.5× 144 1.7× 138 1.7× 38 0.5× 15 463
Fangzhu Zhao 342 1.4× 47 0.5× 188 2.2× 111 1.4× 50 0.7× 13 491
Yoriyuki Konno 341 1.3× 53 0.6× 79 0.9× 171 2.1× 59 0.8× 9 462
Martha Yocupicio‐Monroy 182 0.7× 31 0.3× 131 1.5× 52 0.7× 43 0.6× 18 449
Turgut E. Aktepe 200 0.8× 36 0.4× 112 1.3× 126 1.6× 52 0.7× 14 428
Danhua Zhao 179 0.7× 48 0.5× 271 3.1× 93 1.2× 34 0.4× 16 471
Chao Su 248 1.0× 35 0.4× 82 0.9× 44 0.6× 59 0.8× 17 411
Christopher E. Yi 329 1.3× 107 1.1× 156 1.8× 49 0.6× 31 0.4× 10 488
Keiya Uriu 395 1.6× 67 0.7× 102 1.2× 133 1.7× 21 0.3× 11 493
Lok Man J. Law 98 0.4× 46 0.5× 126 1.4× 68 0.8× 28 0.4× 11 381

Countries citing papers authored by Judith M. Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Judith M. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judith M. Phillips. 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 Judith M. Phillips. The network helps show where Judith M. Phillips may publish in the future.

Co-authorship network of co-authors of Judith M. Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of Judith M. Phillips. A scholar is included among the top collaborators of Judith M. Phillips 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 Judith M. Phillips. Judith M. Phillips 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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