Li-Hua Ping

3.6k total citations
11 papers, 1.0k citations indexed

About

Li-Hua Ping is a scholar working on Virology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Li-Hua Ping has authored 11 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Virology, 7 papers in Infectious Diseases and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Li-Hua Ping's work include HIV Research and Treatment (8 papers), HIV/AIDS Research and Interventions (5 papers) and Viral Infections and Immunology Research (3 papers). Li-Hua Ping is often cited by papers focused on HIV Research and Treatment (8 papers), HIV/AIDS Research and Interventions (5 papers) and Viral Infections and Immunology Research (3 papers). Li-Hua Ping collaborates with scholars based in United States, United Kingdom and South Africa. Li-Hua Ping's co-authors include Stanley M. Lemon, Hangchun Zhang, Edwin A. Brown, Michael R. Beard, Masao Honda, Ronald Swanstrom, Myron S. Cohen, Joseph J. Eron, Pietro Vernazza and Irving Hoffman and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Virology.

In The Last Decade

Li-Hua Ping

11 papers receiving 1.0k citations

Peers

Li-Hua Ping
I Yoshida Japan
R R Redfield United States
Patricia Hegerich United States
Andrea L. Cathcart United States
William M. Hurni United States
W. T. London United States
Günter Hess Germany
Mayla Hsu United States
Jean L. Mbisa United Kingdom
I Yoshida Japan
Li-Hua Ping
Citations per year, relative to Li-Hua Ping Li-Hua Ping (= 1×) peers I Yoshida

Countries citing papers authored by Li-Hua Ping

Since Specialization
Citations

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

Fields of papers citing papers by Li-Hua Ping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li-Hua Ping. 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 Li-Hua Ping. The network helps show where Li-Hua Ping may publish in the future.

Co-authorship network of co-authors of Li-Hua Ping

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

All Works

11 of 11 papers shown
1.
Cope, Anna B., Kimberly A. Powers, JoAnn D. Kuruc, et al.. (2015). Ongoing HIV Transmission and the HIV Care Continuum in North Carolina. PLoS ONE. 10(6). e0127950–e0127950. 25 indexed citations
2.
Arrildt, Kathryn T., Celia C. LaBranche, Sarah Joseph, et al.. (2015). Phenotypic Correlates of HIV-1 Macrophage Tropism. Journal of Virology. 89(22). 11294–11311. 54 indexed citations
3.
Hauser, Blake M., Li-Hua Ping, Elena Dukhovlinova, et al.. (2015). R5 Macrophage-Tropic HIV-1 in the Male Genital Tract. Journal of Virology. 89(20). 10688–10692. 7 indexed citations
4.
Gach, Johannes S., Juan Carlos Aldave Becerra, Tran B. Phan, et al.. (2013). The Neonatal Fc Receptor (FcRn) Enhances Human Immunodeficiency Virus Type 1 (HIV-1) Transcytosis across Epithelial Cells. PLoS Pathogens. 9(11). e1003776–e1003776. 75 indexed citations
5.
Kraus, Matthias H., Nicholas F. Parrish, Katharina S. Shaw, et al.. (2009). A rev1–vpu polymorphism unique to HIV-1 subtype A and C strains impairs envelope glycoprotein expression from rev–vpu–env cassettes and reduces virion infectivity in pseudotyping assays. Virology. 397(2). 346–357. 14 indexed citations
6.
Resik, Sonia, Philippe Lemey, Li-Hua Ping, et al.. (2007). Limitations to Contact Tracing And Phylogenetic Analysis in Establishing HIV Type 1 Transmission Networks in Cuba. AIDS Research and Human Retroviruses. 23(3). 347–356. 32 indexed citations
7.
Coetzer, Mia, Tonie Cilliers, Li-Hua Ping, Ronald Swanstrom, & Lynn Morris. (2006). Genetic characteristics of the V3 region associated with CXCR4 usage in HIV-1 subtype C isolates. Virology. 356(1-2). 95–105. 52 indexed citations
8.
Ping, Li-Hua, Julie A. Nelson, Irving Hoffman, et al.. (1999). Characterization of V3 Sequence Heterogeneity in Subtype C Human Immunodeficiency Virus Type 1 Isolates from Malawi: Underrepresentation of X4 Variants. Journal of Virology. 73(8). 6271–6281. 159 indexed citations
9.
Honda, Masao, Michael R. Beard, Li-Hua Ping, & Stanley M. Lemon. (1999). A Phylogenetically Conserved Stem-Loop Structure at the 5′ Border of the Internal Ribosome Entry Site of Hepatitis C Virus Is Required for Cap-Independent Viral Translation. Journal of Virology. 73(2). 1165–1174. 216 indexed citations
10.
11.
Brown, Edwin A., Hangchun Zhang, Li-Hua Ping, & Stanley M. Lemon. (1992). Secondary structure of the 5′ nontranslated regions of hepatitis C virus and pestivirus genomic RNAs. Nucleic Acids Research. 20(19). 5041–5045. 342 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026