Philip J. Hogarth

47 total papers · 1.4k total citations
40 papers, 980 citations indexed

About

Philip J. Hogarth is a scholar working on Infectious Diseases, Immunology and Epidemiology. According to data from OpenAlex, Philip J. Hogarth has authored 40 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Infectious Diseases, 23 papers in Immunology and 14 papers in Epidemiology. Recurrent topics in Philip J. Hogarth's work include Tuberculosis Research and Epidemiology (25 papers), Immune responses and vaccinations (15 papers) and Mycobacterium research and diagnosis (14 papers). Philip J. Hogarth is often cited by papers focused on Tuberculosis Research and Epidemiology (25 papers), Immune responses and vaccinations (15 papers) and Mycobacterium research and diagnosis (14 papers). Philip J. Hogarth collaborates with scholars based in United Kingdom, Canada and United States. Philip J. Hogarth's co-authors include Daryan A. Kaveh, R. Glyn Hewinson, M. Carmen García‐Pelayo, H. Martin Vordermeier, A. E. Bianco, Véronique Bachy, Mark J. Taylor, Adam O. Whelan, Bernardo Villarreal‐Ramos and Karen Logan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Philip J. Hogarth

40 papers receiving 973 citations

Author Peers

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

Author Last Decade Papers Cites
Philip J. Hogarth 643 497 377 224 89 40 980
Martin J. Elhay 560 0.9× 520 1.0× 465 1.2× 282 1.3× 57 0.6× 22 1.1k
Giuseppe Pisanelli 422 0.7× 433 0.9× 388 1.0× 239 1.1× 56 0.6× 21 1.1k
Donata Sizemore 532 0.8× 371 0.7× 261 0.7× 267 1.2× 41 0.5× 24 1.1k
Barry Benaissa-Trouw 357 0.6× 362 0.7× 278 0.7× 378 1.7× 60 0.7× 49 1.1k
Ingrid Olsen 364 0.6× 230 0.5× 510 1.4× 172 0.8× 88 1.0× 26 890
Arlete Aparecida Martins Coelho‐Castelo 347 0.5× 354 0.7× 320 0.8× 327 1.5× 121 1.4× 34 838
Stefano Rocca 305 0.5× 173 0.3× 253 0.7× 226 1.0× 93 1.0× 41 874
Christian Aepinus 470 0.7× 196 0.4× 599 1.6× 199 0.9× 35 0.4× 40 1.1k
LaRene Kuller 428 0.7× 449 0.9× 409 1.1× 132 0.6× 33 0.4× 33 1.1k
Paola M. Boggiatto 239 0.4× 284 0.6× 346 0.9× 163 0.7× 123 1.4× 64 916

Countries citing papers authored by Philip J. Hogarth

Since Specialization
Citations

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

Fields of papers citing papers by Philip J. Hogarth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip J. Hogarth. 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 Philip J. Hogarth. The network helps show where Philip J. Hogarth may publish in the future.

Co-authorship network of co-authors of Philip J. Hogarth

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