Phillip S. Pang
- Hepatology top 0.2%
- Epidemiology top 1%
- Infectious Diseases top 2%
- Molecular Biology
- Rheumatology top 10%
- Co-authors
- John G. McHutchisonRobert H. HylandXiao DingWilliam T. SymondsEric LawitzEvguenia S. SvarovskaiaEdward GaneHongmei Mo
- Topics
- Hepatitis C virus research (40 papers)Liver Disease Diagnosis and Treatment (22 papers)Hepatitis B Virus Studies (22 papers)
- Partner nations
- United StatesFranceNew Zealand
In The Last Decade
Phillip S. Pang
55 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Hepatology 2.2k
- Epidemiology 2.0k
- Infectious Diseases 679
- Molecular Biology 284
- Rheumatology 141
Countries citing papers authored by Phillip S. Pang
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | After the pandemic: perspectives on the future trajectory of COVID-19breakdown → | 255 |
| 3 | 22 | |
| 4 | 163 | |
| 5 | 65 | |
| 6 | 13 | |
| 7 | 139 | |
| 8 | 117 | |
| 9 | 38 | |
| 10 | 5 | |
| 11 | 26 | |
| 12 | 49 | |
| 13 | 31 | |
| 14 | 1 | |
| 15 | Sofosbuvir and ledipasvir fixed-dose combination with and without ribavirin in treatment-naive and previously treated patients with genotype 1 hepatitis C virus infection (LONESTAR): an open-label, randomised, phase 2 trialbreakdown → | 438 |
| 16 | 157 | |
| 17 | 25 | |
| 18 | 42 | |
| 19 | 8 | |
| 20 | 185 |
About Phillip S. Pang
Phillip S. Pang is a scholar working on Hepatology, Epidemiology and Infectious Diseases, having authored 55 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (40 papers), Liver Disease Diagnosis and Treatment (22 papers) and Hepatitis B Virus Studies (22 papers). The work is most often cited by research in Hepatology (2.2k citations), Epidemiology (2.0k citations) and Infectious Diseases (679 citations). Phillip S. Pang has collaborated with scholars based in United States, France and New Zealand. Frequent 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 Fred Poordad. Their work appears in journals such as Nature, The Lancet and Nucleic Acids Research.
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.