Phillip Chan

47 papers receiving 688 citations

Peers

Phillip Chan
Comparison fields: 5 of 88
  • Virology 277
  • Internal Medicine 101
  • Emergency Medicine 115
  • Biological Psychiatry 26
  • Infectious Diseases 174
Replace Anna M. Cervantes‐Arslanian with:
Anna M. Cervantes‐Arslanian United States
Amélia Nogueira Pinto Portugal
Pria Anand United States
Alan Winston United Kingdom
J A Tutuarima Netherlands
Johannes Leitgeb Austria
Jayaraj Mymbilly Balakrishnan India
C. Greib France
Myung Kwan Lim South Korea
Paola Morelli Italy
Phillip Chan relative to Anna M. Cervantes‐Arslanian United States Anna M. Cervantes‐Arslanian's profile →
Citations per field
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Anna M. Cervantes‐Arslanian · 1×
Citations per year

Countries citing papers authored by Phillip Chan

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Phillip Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Phillip Chan Line = papers co-authored together Phillip Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004106
2 201473
3 201370
4 201451
5 199843
6 200439
7 201838
8 201628
9 202026
10 201921
11 201621
12 201521
13 201818
14 202116
15 201515
16 201912
17 201911
18 202311
19 202211
20 202110

About Phillip Chan

Phillip Chan is a scholar working on Virology, Infectious Diseases, Emergency Medicine, Surgery and Epidemiology, having authored 49 papers that have together received 733 indexed citations. Recurring topics across this work include HIV Research and Treatment (18 papers), HIV/AIDS Research and Interventions (9 papers), HIV-related health complications and treatments (7 papers), Reservoir Engineering and Simulation Methods (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Atmospheric and Environmental Gas Dynamics (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Hydrocarbon exploration and reservoir analysis (2 papers). The work is most often cited by research in Virology (277 citations), Internal Medicine (101 citations), Emergency Medicine (115 citations), Biological Psychiatry (26 citations) and Infectious Diseases (174 citations). Phillip Chan has collaborated with scholars based in United States, Thailand and Netherlands. Frequent co-authors include Bruce J. Brew, Serena Spudich, Victor Valcour, Nicos Labropoulos, Jonathan Beard, Athanasios Giannoukas, Debra A. Dodd, Luis R. León, Jintanat Ananworanich and Joanna Hellmuth. Their work appears in journals such as AIDS, Current HIV/AIDS Reports, European Journal of Vascular and Endovascular Surgery, AIDS Research and Therapy and The Journal of Infectious Diseases.

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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