Katie Jeffery

280 total papers · 27.5k total citations
79 papers, 3.3k citations indexed

About

Katie Jeffery is a scholar working on Epidemiology, Infectious Diseases and Hepatology. According to data from OpenAlex, Katie Jeffery has authored 79 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Epidemiology, 30 papers in Infectious Diseases and 12 papers in Hepatology. Recurrent topics in Katie Jeffery's work include Hepatitis B Virus Studies (12 papers), Hepatitis C virus research (11 papers) and Respiratory viral infections research (8 papers). Katie Jeffery is often cited by papers focused on Hepatitis B Virus Studies (12 papers), Hepatitis C virus research (11 papers) and Respiratory viral infections research (8 papers). Katie Jeffery collaborates with scholars based in United Kingdom, United States and Germany. Katie Jeffery's co-authors include Charles R. M. Bangham, Steven Read, Derrick W. Crook, Colin Brown, Tim Peto, Andrew M. Borman, Elizabeth M. Johnson, Silke Schelenz, Surabhi Taori and Rohini Manuel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.

In The Last Decade

Katie Jeffery

76 papers receiving 3.2k citations

Hit Papers

Candida auris: a Review o... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Katie Jeffery 1.3k 1.3k 767 436 416 79 3.3k
Carlos Brites 1.9k 1.4× 920 0.7× 1.1k 1.4× 638 1.5× 361 0.9× 244 4.3k
Renu B. Lal 1.7k 1.3× 1.4k 1.1× 1.5k 2.0× 540 1.2× 524 1.3× 144 4.4k
Juan E. Echevarrı́a 1.5k 1.1× 1.3k 1.0× 207 0.3× 206 0.5× 284 0.7× 137 3.1k
Eduardo Martins Netto 1.2k 0.9× 1.4k 1.1× 449 0.6× 187 0.4× 174 0.4× 174 3.2k
Andi Krumbholz 1.6k 1.2× 1.0k 0.8× 238 0.3× 434 1.0× 372 0.9× 88 2.9k
Todd F. Hatchette 1.3k 1.0× 1.2k 1.0× 237 0.3× 145 0.3× 333 0.8× 139 2.7k
Tjeerd G. Kimman 1.6k 1.2× 3.0k 2.4× 918 1.2× 682 1.6× 436 1.0× 130 4.9k
Janine Jason 685 0.5× 650 0.5× 727 0.9× 160 0.4× 237 0.6× 89 3.0k
Antoine Talarmin 1.4k 1.0× 587 0.5× 333 0.4× 228 0.5× 258 0.6× 91 3.1k
Brian P. Holloway 1.7k 1.3× 1.2k 0.9× 192 0.3× 161 0.4× 514 1.2× 60 3.2k

Countries citing papers authored by Katie Jeffery

Since Specialization
Citations

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

Fields of papers citing papers by Katie Jeffery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katie Jeffery

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