Robert J. Kim-Farley

67 total papers · 823 total citations
34 papers, 553 citations indexed

About

Robert J. Kim-Farley is a scholar working on Epidemiology, Health and Infectious Diseases. According to data from OpenAlex, Robert J. Kim-Farley has authored 34 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 13 papers in Health and 10 papers in Infectious Diseases. Recurrent topics in Robert J. Kim-Farley's work include Vaccine Coverage and Hesitancy (13 papers), Viral Infections and Immunology Research (6 papers) and Virology and Viral Diseases (4 papers). Robert J. Kim-Farley is often cited by papers focused on Vaccine Coverage and Hesitancy (13 papers), Viral Infections and Immunology Research (6 papers) and Virology and Viral Diseases (4 papers). Robert J. Kim-Farley collaborates with scholars based in United States, Switzerland and Pakistan. Robert J. Kim-Farley's co-authors include S E Robertson, Henrica A. F. M. Jansen, Sonja S. Hutchins, Nicholas A. Ward, Ralph H. Henderson, Peter F. Wright, Susan Robertson, Robert McN. Scott, Ciro A. de Quadrós and Walter A. Orenstein and has published in prestigious journals such as New England Journal of Medicine, PEDIATRICS and Clinical Infectious Diseases.

In The Last Decade

Robert J. Kim-Farley

33 papers receiving 502 citations

Author Peers

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

Author Last Decade Papers Cites
Robert J. Kim-Farley 228 220 205 115 49 34 553
Margaret Watkins 200 0.9× 330 1.5× 206 1.0× 87 0.8× 80 1.6× 27 588
Ralph H. Henderson 181 0.8× 140 0.6× 293 1.4× 106 0.9× 31 0.6× 31 585
Cuauhtémoc Ruiz‐Matus 424 1.9× 224 1.0× 188 0.9× 65 0.6× 58 1.2× 20 655
Katherine Seib 342 1.5× 326 1.5× 249 1.2× 153 1.3× 37 0.8× 30 681
Stephen Sosler 185 0.8× 122 0.6× 235 1.1× 94 0.8× 40 0.8× 19 589
Chima Ohuabunwo 88 0.4× 148 0.7× 226 1.1× 123 1.1× 61 1.2× 28 587
K. J. Bart 337 1.5× 166 0.8× 160 0.8× 113 1.0× 35 0.7× 16 588
Gina Tambini 436 1.9× 318 1.4× 229 1.1× 76 0.7× 55 1.1× 22 676
R Bernier 288 1.3× 241 1.1× 217 1.1× 146 1.3× 23 0.5× 12 548
Abhijeet Anand 269 1.2× 159 0.7× 306 1.5× 129 1.1× 66 1.3× 26 566

Countries citing papers authored by Robert J. Kim-Farley

Since Specialization
Citations

This map shows the geographic impact of Robert J. Kim-Farley'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 Robert J. Kim-Farley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. Kim-Farley more than expected).

Fields of papers citing papers by Robert J. Kim-Farley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Kim-Farley. 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 Robert J. Kim-Farley. The network helps show where Robert J. Kim-Farley may publish in the future.

Co-authorship network of co-authors of Robert J. Kim-Farley

This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. Kim-Farley. A scholar is included among the top collaborators of Robert J. Kim-Farley 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 Robert J. Kim-Farley. Robert J. Kim-Farley 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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