P.L. Lim
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
Papers in
- Virology 3
- HIV Research and Treatment 2
- Rabies epidemiology and control 1
- Co-authors
- Brenda Sze Peng Ang (1 shared paper)Jorge S. Villacian (1 shared paper)Lawrence Lee (1 shared paper)Arul Earnest (1 shared paper)Li Yang Hsu (1 shared paper)Nicholas Iain Paton (1 shared paper)Yee‐Sin Leo (1 shared paper)Justin A. Green (1 shared paper)
- Journals
- Clinical Microbiology and Infection (2 papers)AIDS Patient Care and STDs (1 paper)Emerging infectious diseases (1 paper)Clinical Infectious Diseases (1 paper)AIDS (1 paper)
- Partner nations
- SingaporeAustraliaUnited States
In The Last Decade
P.L. Lim
8 papers receiving 366 citations
Peers
Comparison fields: 5 of 63
- Modeling and Simulation 70
- Infectious Diseases 201
- Applied Microbiology and Biotechnology 13
- Virology 26
- Emergency Medical Services 21
Countries citing papers authored by P.L. Lim
This map shows the geographic impact of P.L. Lim'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 P.L. Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.L. Lim more than expected).
Fields of papers citing papers by P.L. Lim
This network shows the impact of papers produced by P.L. Lim. 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 P.L. Lim. The network helps show where P.L. Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside P.L. Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 239 | |
| 2 | 2017 | 44 | |
| 3 | 2006 | 38 | |
| 4 | 2010 | 24 | |
| 5 | 2013 | 15 | |
| 6 | 2015 | 14 | |
| 7 | 2004 | 3 | |
| 8 | 2018 | 3 |
About P.L. Lim
P.L. Lim is a scholar working on Virology, Emergency Medicine, Infectious Diseases, Applied Microbiology and Biotechnology and Emergency Medical Services, having authored 8 papers that have together received 380 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (3 papers), HIV Research and Treatment (2 papers), Case Reports on Hematomas (1 paper), Diagnosis and treatment of tuberculosis (1 paper), Rabies epidemiology and control (1 paper), HIV/AIDS Research and Interventions (1 paper), Antibiotics Pharmacokinetics and Efficacy (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Modeling and Simulation (70 citations), Infectious Diseases (201 citations), Applied Microbiology and Biotechnology (13 citations), Virology (26 citations) and Emergency Medical Services (21 citations). P.L. Lim has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Brenda Sze Peng Ang, Jorge S. Villacian, Lawrence Lee, Arul Earnest, Li Yang Hsu, Nicholas Iain Paton, Yee‐Sin Leo, Justin A. Green, Philippe Gautret and Marc Shaw. Their work appears in journals such as Clinical Microbiology and Infection, AIDS Patient Care and STDs, Emerging infectious diseases, Clinical Infectious Diseases and AIDS.
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.