Philip D. Yin

33 total papers · 1.4k total citations
14 papers, 299 citations indexed

About

Philip D. Yin is a scholar working on Hepatology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Philip D. Yin has authored 14 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hepatology, 5 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Philip D. Yin's work include Hepatitis C virus research (8 papers), HIV/AIDS drug development and treatment (4 papers) and Hepatitis B Virus Studies (3 papers). Philip D. Yin is often cited by papers focused on Hepatitis C virus research (8 papers), HIV/AIDS drug development and treatment (4 papers) and Hepatitis B Virus Studies (3 papers). Philip D. Yin collaborates with scholars based in United States, France and United Kingdom. Philip D. Yin's co-authors include Wei-Shau Hu, Jeffrey A. Anderson, Ronald J. Teufel, Eric Hughes, Fiona McPhee, Hirotomo Nakata, Lauren Hackney, Yoshikazu Takaoka, Hiroaki Mitsuya and Kenji Maeda and has published in prestigious journals such as Gastroenterology, Journal of Molecular Biology and Hepatology.

In The Last Decade

Philip D. Yin

14 papers receiving 289 citations

Author Peers

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

Author						Papers	Cites
Philip D. Yin	144	121	92	83	68	14	299
Stephan Chiu	131 0.9×	167 1.4×	82 0.9×	20 0.2×	96 1.4×	13	347
Dennis Revie	137 1.0×	118 1.0×	155 1.7×	117 1.4×	75 1.1×	12	341
Hélène Mabit	208 1.4×	115 1.0×	56 0.6×	36 0.4×	117 1.7×	10	347
Matthew Bentham	119 0.8×	117 1.0×	87 0.9×	109 1.3×	101 1.5×	11	363
Wandi Zhu	156 1.1×	88 0.7×	66 0.7×	22 0.3×	134 2.0×	9	331
Hazel Stewart	110 0.8×	88 0.7×	102 1.1×	44 0.5×	126 1.9×	21	362
Daitze Wu	182 1.3×	137 1.1×	109 1.2×	46 0.6×	102 1.5×	14	318
Douglas Ross‐Thriepland	152 1.1×	215 1.8×	58 0.6×	51 0.6×	112 1.6×	13	349
Janina Bruening	101 0.7×	168 1.4×	107 1.2×	30 0.4×	55 0.8×	11	312
Nathan Pirakitikulr	70 0.5×	78 0.6×	22 0.2×	18 0.2×	113 1.7×	20	284

Countries citing papers authored by Philip D. Yin

Since Specialization

Citations

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

Fields of papers citing papers by Philip D. Yin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip D. Yin

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