Pi‐Chun Li

553 total citations
13 papers, 425 citations indexed

About

Pi‐Chun Li is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Pi‐Chun Li has authored 13 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 6 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in Pi‐Chun Li's work include Mosquito-borne diseases and control (10 papers), Viral Infections and Vectors (6 papers) and Malaria Research and Control (6 papers). Pi‐Chun Li is often cited by papers focused on Mosquito-borne diseases and control (10 papers), Viral Infections and Vectors (6 papers) and Malaria Research and Control (6 papers). Pi‐Chun Li collaborates with scholars based in Taiwan, United States and Vietnam. Pi‐Chun Li's co-authors include Han‐Chung Wu, De-Kuan Chang, Priscilla L. Yang, Chien‐Yu Chiu, Mélissanne de Wispelaere, I-Ju Liu, Mei‐Ying Liao, Albert Lo, Yi‐Ping Wang and Jaebong Jang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

Pi‐Chun Li

13 papers receiving 423 citations

Peers

Pi‐Chun Li
Sangeetha L. Sagar United States
Pi‐Chun Li
Citations per year, relative to Pi‐Chun Li Pi‐Chun Li (= 1×) peers Sangeetha L. Sagar

Countries citing papers authored by Pi‐Chun Li

Since Specialization
Citations

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

Fields of papers citing papers by Pi‐Chun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pi‐Chun Li. 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 Pi‐Chun Li. The network helps show where Pi‐Chun Li may publish in the future.

Co-authorship network of co-authors of Pi‐Chun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Pi‐Chun Li. A scholar is included among the top collaborators of Pi‐Chun Li 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 Pi‐Chun Li. Pi‐Chun Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Li, Pi‐Chun, Jaebong Jang, Chih‐Yun Hsia, et al.. (2019). Small Molecules Targeting the Flavivirus E Protein with Broad-Spectrum Activity and Antiviral Efficacy in Vivo. ACS Infectious Diseases. 5(3). 460–472. 28 indexed citations
2.
Wispelaere, Mélissanne de, Wenlong Lian, Supanee Potisopon, et al.. (2018). Inhibition of Flaviviruses by Targeting a Conserved Pocket on the Viral Envelope Protein. Cell chemical biology. 25(8). 1006–1016.e8. 74 indexed citations
3.
Lian, Wenlong, Jaebong Jang, Supanee Potisopon, et al.. (2018). Discovery of Immunologically Inspired Small Molecules That Target the Viral Envelope Protein. ACS Infectious Diseases. 4(9). 1395–1406. 19 indexed citations
4.
Li, Pi‐Chun, et al.. (2017). Antiviral activity of N-(4-hydroxyphenyl) retinamide (4-HPR) against Zika virus. Antiviral Research. 147. 124–130. 26 indexed citations
5.
Liu, I-Ju, Pi‐Chun Li, Chien‐Yu Chiu, et al.. (2017). Generation and Characterization of Antinonstructural Protein 1 Monoclonal Antibodies and Development of Diagnostics for Dengue Virus Serotype 2. American Journal of Tropical Medicine and Hygiene. 97(4). 1049–1061. 3 indexed citations
6.
Li, Pi‐Chun, et al.. (2015). An Epitope-Substituted DNA Vaccine Improves Safety and Immunogenicity against Dengue Virus Type 2. PLoS neglected tropical diseases. 9(7). e0003903–e0003903. 19 indexed citations
7.
Tsai, Cheng‐Han, Kuan‐Hung Chen, Pi‐Chun Li, et al.. (2013). Cellulose‐Based Diagnostic Devices for Diagnosing Serotype‐2 Dengue Fever in Human Serum. Advanced Healthcare Materials. 3(2). 187–196. 37 indexed citations
8.
Chang, De-Kuan, Pi‐Chun Li, Ruei‐Min Lu, Wann‐Neng Jane, & Han‐Chung Wu. (2013). Peptide-Mediated Liposomal Doxorubicin Enhances Drug Delivery Efficiency and Therapeutic Efficacy in Animal Models. PLoS ONE. 8(12). e83239–e83239. 37 indexed citations
9.
Tsai, Cheng‐Han, et al.. (2013). Monitoring the disease activity via the antibody-antigen recognition in paper. 229–232. 2 indexed citations
10.
Tsai, Wen-Yang, I-Ju Liu, Pi‐Chun Li, et al.. (2012). Analysis of Epitopes on Dengue Virus Envelope Protein Recognized by Monoclonal Antibodies and Polyclonal Human Sera by a High Throughput Assay. PLoS neglected tropical diseases. 6(1). e1447–e1447. 59 indexed citations
11.
Li, Pi‐Chun, Mei‐Ying Liao, Jian‐Jong Liang, et al.. (2012). Development of a Humanized Antibody with High Therapeutic Potential against Dengue Virus Type 2. PLoS neglected tropical diseases. 6(5). e1636–e1636. 29 indexed citations
12.
Chang, De-Kuan, Chien‐Yu Chiu, Albert Lo, et al.. (2009). Antiangiogenic Targeting Liposomes Increase Therapeutic Efficacy for Solid Tumors. Journal of Biological Chemistry. 284(19). 12905–12916. 82 indexed citations
13.
Wu, Han‐Chung & Pi‐Chun Li. (2008). Proteins Expressed on Tumor Endothelial Cells as Potential Targets for Anti-Angiogenic Therapy. 4(1). 17–22. 10 indexed citations

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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