Philip Snoy

23 total papers · 777 total citations
21 papers, 629 citations indexed

About

Philip Snoy is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Philip Snoy has authored 21 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Philip Snoy's work include Hepatitis B Virus Studies (5 papers), Immunotherapy and Immune Responses (5 papers) and Virus-based gene therapy research (4 papers). Philip Snoy is often cited by papers focused on Hepatitis B Virus Studies (5 papers), Immunotherapy and Immune Responses (5 papers) and Virus-based gene therapy research (4 papers). Philip Snoy collaborates with scholars based in United States, United Kingdom and Sweden. Philip Snoy's co-authors include Robert J. Gerety, Edward Tabor, Syed R. Husain, Koji Kawakami, Raj K. Puri, Sten Iwarson, Mariko Kawakami, J. Dee Higley, Stephen J. Suomi and Allison Cleveland and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and PLoS ONE.

In The Last Decade

Philip Snoy

21 papers receiving 588 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 Snoy 238 182 160 136 102 21 629
Sybille Müller 103 0.4× 263 1.4× 169 1.1× 86 0.6× 34 0.3× 30 649
Angelica Medina-Selby 203 0.9× 109 0.6× 293 1.8× 78 0.6× 184 1.8× 16 720
Carola Schneider 194 0.8× 134 0.7× 349 2.2× 116 0.9× 40 0.4× 21 754
G. Hunsmann 152 0.6× 310 1.7× 107 0.7× 200 1.5× 12 0.1× 30 693
Xu Wang 109 0.5× 124 0.7× 271 1.7× 144 1.1× 45 0.4× 36 661
Warren K. Ashe 197 0.8× 94 0.5× 66 0.4× 69 0.5× 10 0.1× 18 555
Jinhui Dong 144 0.6× 69 0.4× 314 2.0× 149 1.1× 15 0.1× 19 642
Kerstin Hahn 125 0.5× 82 0.5× 114 0.7× 219 1.6× 68 0.7× 38 717
Yuanzhi Chen 104 0.4× 97 0.5× 248 1.6× 67 0.5× 18 0.2× 36 614
Thomas D. Green 99 0.4× 182 1.0× 266 1.7× 90 0.7× 11 0.1× 27 788

Countries citing papers authored by Philip Snoy

Since Specialization
Citations

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

Fields of papers citing papers by Philip Snoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Snoy

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