Phillip S. Pang

93 total papers · 11.0k total citations
55 papers, 2.8k citations indexed

About

Phillip S. Pang is a scholar working on Hepatology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Phillip S. Pang has authored 55 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Hepatology, 30 papers in Epidemiology and 10 papers in Infectious Diseases. Recurrent topics in Phillip S. Pang's work include Hepatitis C virus research (40 papers), Liver Disease Diagnosis and Treatment (22 papers) and Hepatitis B Virus Studies (22 papers). Phillip S. Pang is often cited by papers focused on Hepatitis C virus research (40 papers), Liver Disease Diagnosis and Treatment (22 papers) and Hepatitis B Virus Studies (22 papers). Phillip S. Pang collaborates with scholars based in United States, France and New Zealand. Phillip S. Pang's co-authors include John G. McHutchison, Robert H. Hyland, Xiao Ding, William T. Symonds, Eric Lawitz, Evguenia S. Svarovskaia, Edward Gane, Hongmei Mo, Catherine Stedman and Fernando E. Membreno and has published in prestigious journals such as Nature, The Lancet and Nucleic Acids Research.

In The Last Decade

Phillip S. Pang

54 papers receiving 2.7k citations

Hit Papers

Sofosbuvir and ledipasvir... 2013 2026 2017 2021 2013 2021 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
Phillip S. Pang 2.2k 2.0k 675 284 141 55 2.8k
Susanna Naggie 1.8k 0.8× 2.1k 1.0× 1.0k 1.5× 308 1.1× 208 1.5× 128 3.0k
Josep Costa 2.2k 1.0× 2.4k 1.2× 574 0.9× 145 0.5× 114 0.8× 104 3.3k
G. Lunghi 2.1k 0.9× 2.1k 1.0× 651 1.0× 114 0.4× 141 1.0× 145 2.9k
Thomas Vanwolleghem 1.7k 0.8× 1.9k 0.9× 404 0.6× 225 0.8× 137 1.0× 84 2.5k
Colin W. Shepard 2.6k 1.2× 3.4k 1.7× 1.2k 1.8× 361 1.3× 133 0.9× 57 4.5k
Alfonso Mele 2.1k 0.9× 2.1k 1.0× 468 0.7× 159 0.6× 90 0.6× 82 3.3k
F. Xavier López‐Labrador 1.4k 0.6× 1.4k 0.7× 309 0.5× 146 0.5× 151 1.1× 72 2.0k
Deanna Kruszon-Moran 2.6k 1.2× 3.1k 1.6× 586 0.9× 174 0.6× 154 1.1× 29 4.3k
Maria Elena Tosti 1.7k 0.7× 1.7k 0.9× 649 1.0× 179 0.6× 100 0.7× 125 2.9k
Thelma E. Wiley 2.6k 1.2× 2.4k 1.2× 341 0.5× 135 0.5× 336 2.4× 31 3.2k

Countries citing papers authored by Phillip S. Pang

Since Specialization
Citations

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

Fields of papers citing papers by Phillip S. Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip S. Pang. 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 Phillip S. Pang. The network helps show where Phillip S. Pang may publish in the future.

Co-authorship network of co-authors of Phillip S. Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip S. Pang. A scholar is included among the top collaborators of Phillip S. Pang 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 Phillip S. Pang. Phillip S. Pang 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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