Karen Ford

52 total papers · 10.7k total citations
19 papers, 448 citations indexed

About

Karen Ford is a scholar working on Epidemiology, Microbiology and Health. According to data from OpenAlex, Karen Ford has authored 19 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 6 papers in Microbiology and 4 papers in Health. Recurrent topics in Karen Ford's work include Bacterial Infections and Vaccines (6 papers), Influenza Virus Research Studies (6 papers) and Pneumonia and Respiratory Infections (6 papers). Karen Ford is often cited by papers focused on Bacterial Infections and Vaccines (6 papers), Influenza Virus Research Studies (6 papers) and Pneumonia and Respiratory Infections (6 papers). Karen Ford collaborates with scholars based in United Kingdom, United States and Switzerland. Karen Ford's co-authors include Andrew J. Pollard, Tessa M. John, Peter Dull, Matthew D. Snape, Scott A. Halperin, Kirsten P. Perrett, Joanne M. Langley, Shelly McNeil, Francesca Ceddia and Simon Dobson and has published in prestigious journals such as JAMA, Vaccine and The Pediatric Infectious Disease Journal.

In The Last Decade

Karen Ford

16 papers receiving 409 citations

Author Peers

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

Author Last Decade Papers Cites
Karen Ford 217 196 142 50 48 19 448
Kelly Callahan 95 0.4× 158 0.8× 52 0.4× 60 1.2× 68 1.4× 21 498
Inger Lise Haugen 300 1.4× 228 1.2× 124 0.9× 29 0.6× 57 1.2× 16 495
Flávia S. Kubrusly 191 0.9× 105 0.5× 102 0.7× 128 2.6× 104 2.2× 28 456
Caroline Vipond 297 1.4× 318 1.6× 72 0.5× 42 0.8× 89 1.9× 20 422
Hillery A. Harvey 168 0.8× 248 1.3× 98 0.7× 48 1.0× 118 2.5× 9 524
Sylvia H. Yeh 397 1.8× 241 1.2× 33 0.2× 39 0.8× 28 0.6× 26 528
Dagna Laufer 387 1.8× 155 0.8× 95 0.7× 38 0.8× 74 1.5× 15 528
Ivo Vojtek 140 0.6× 63 0.3× 105 0.7× 81 1.6× 119 2.5× 16 525
Jennie Leydon 260 1.2× 91 0.5× 57 0.4× 72 1.4× 32 0.7× 17 468
Vincent Verlant 366 1.7× 210 1.1× 54 0.4× 45 0.9× 41 0.9× 16 442

Countries citing papers authored by Karen Ford

Since Specialization
Citations

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

Fields of papers citing papers by Karen Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen Ford. 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 Karen Ford. The network helps show where Karen Ford may publish in the future.

Co-authorship network of co-authors of Karen Ford

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Ford. A scholar is included among the top collaborators of Karen Ford 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 Karen Ford. Karen Ford 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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