Philip T. Liu
- Pathology and Forensic Medicine top 0.2%
- Immunology top 1%
- Nutrition and Dietetics top 0.5%
- Epidemiology top 2%
- Infectious Diseases top 1%
- Co-authors
- Robert L. ModlinJohn S. AdamsMartin HewisonSteffen StengerStephan R. KrutzikRene F. ChunDominic H. TangJenny Kim
- Topics
- Vitamin D Research Studies (13 papers)Immune Response and Inflammation (12 papers)Antimicrobial Peptides and Activities (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Medicine
- Partner nations
- United StatesGermanyBrazil
In The Last Decade
Philip T. Liu
45 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Pathology and Forensic Medicine 2.4k
- Immunology 1.9k
- Nutrition and Dietetics 1.2k
- Epidemiology 1.1k
- Infectious Diseases 1.0k
Countries citing papers authored by Philip T. Liu
This map shows the geographic impact of Philip T. Liu'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 T. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip T. Liu more than expected).
Fields of papers citing papers by Philip T. Liu
This network shows the impact of papers produced by Philip T. Liu. 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 T. Liu. The network helps show where Philip T. Liu may publish in the future.
Co-authorship network of co-authors of Philip T. Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Philip T. Liu. A scholar is included among the top collaborators of Philip T. Liu 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 T. Liu. Philip T. Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 41 | |
| 3 | 9 | |
| 4 | 56 | |
| 5 | 28 | |
| 6 | 130 | |
| 7 | 313 | |
| 8 | 248 | |
| 9 | 167 | |
| 10 | 86 | |
| 11 | 44 | |
| 12 | 182 | |
| 13 | 149 | |
| 14 | 22 | |
| 15 | Cutting Edge: Vitamin D-Mediated Human Antimicrobial Activity against Mycobacterium tuberculosis Is Dependent on the Induction of Cathelicidinbreakdown → | 632 |
| 16 | 128 | |
| 17 | 91 | |
| 18 | 93 | |
| 19 | 1 | |
| 20 | 340 |
About Philip T. Liu
Philip T. Liu is a scholar working on Microbiology, Biological Psychiatry and Immunology, having authored 45 papers that have together received 6.2k indexed citations. Recurring topics across this work include Vitamin D Research Studies (13 papers), Immune Response and Inflammation (12 papers) and Antimicrobial Peptides and Activities (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.4k citations), Immunology (1.9k citations) and Microbiology (511 citations). Philip T. Liu has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Robert L. Modlin, John S. Adams, Martin Hewison, Steffen Stenger, Stephan R. Krutzik, Rene F. Chun, Dominic H. Tang, Jenny Kim, Peter A. Sieling and Thomas H. Rea. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.
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.