Philip A. Verhoef

77 total papers · 2.6k total citations
31 papers, 1.8k citations indexed

About

Philip A. Verhoef is a scholar working on Epidemiology, Immunology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Philip A. Verhoef has authored 31 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 10 papers in Immunology and 7 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Philip A. Verhoef's work include Sepsis Diagnosis and Treatment (10 papers), IL-33, ST2, and ILC Pathways (7 papers) and Thermal Regulation in Medicine (6 papers). Philip A. Verhoef is often cited by papers focused on Sepsis Diagnosis and Treatment (10 papers), IL-33, ST2, and ILC Pathways (7 papers) and Thermal Regulation in Medicine (6 papers). Philip A. Verhoef collaborates with scholars based in United States and Russia. Philip A. Verhoef's co-authors include Michael G. Constantinides, Benjamin D. McDonald, Albert Bendelac, George Dubyak, William P. Schilling, Mark Estación, Sivasubramanium V. Bhavani, Matthew M. Churpek, Sylvia B. Kertesy and Kyle A. Carey and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Philip A. Verhoef

30 papers receiving 1.8k citations

Hit Papers

A committed precursor to ... 2014 2026 2018 2022 2014 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Philip A. Verhoef 989 556 325 284 250 31 1.8k
Naoyuki Hashiguchi 490 0.5× 126 0.2× 426 1.3× 274 1.0× 471 1.9× 33 1.7k
Sarah C. Huen 737 0.7× 328 0.6× 680 2.1× 291 1.0× 32 0.1× 25 2.4k
Tina Mele 440 0.4× 293 0.5× 336 1.0× 260 0.9× 27 0.1× 53 1.5k
Michael Haidinger 366 0.4× 593 1.1× 319 1.0× 250 0.9× 57 0.2× 49 1.8k
Thomas Kalb 541 0.5× 139 0.3× 517 1.6× 234 0.8× 31 0.1× 25 1.4k
Jijun Zhao 780 0.8× 172 0.3× 909 2.8× 124 0.4× 76 0.3× 53 2.1k
Danielle E. Day 687 0.7× 102 0.2× 330 1.0× 325 1.1× 24 0.1× 22 1.5k
Neil R. Aggarwal 832 0.8× 184 0.3× 498 1.5× 270 1.0× 36 0.1× 42 2.1k
David Thompson 111 0.1× 303 0.5× 354 1.1× 576 2.0× 130 0.5× 43 1.9k
John P. Vella 478 0.5× 529 1.0× 156 0.5× 130 0.5× 24 0.1× 41 1.6k

Countries citing papers authored by Philip A. Verhoef

Since Specialization
Citations

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

Fields of papers citing papers by Philip A. Verhoef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip A. Verhoef

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