Binhua Ling

1.5k total citations
40 papers, 1.1k citations indexed

About

Binhua Ling is a scholar working on Virology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Binhua Ling has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Virology, 14 papers in Infectious Diseases and 12 papers in Epidemiology. Recurrent topics in Binhua Ling's work include HIV Research and Treatment (33 papers), HIV/AIDS Research and Interventions (14 papers) and Immune Cell Function and Interaction (9 papers). Binhua Ling is often cited by papers focused on HIV Research and Treatment (33 papers), HIV/AIDS Research and Interventions (14 papers) and Immune Cell Function and Interaction (9 papers). Binhua Ling collaborates with scholars based in United States, United Kingdom and Canada. Binhua Ling's co-authors include Preston A. Marx, Ronald S. Veazey, Jeffrey D. Lifson, Andrew A. Lackner, KEYU XU, Cecilia Penedo, Amara Luckay, Cristian Apetrei, Ivona Pandrea and B J Gormus and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Binhua Ling

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Binhua Ling United States 19 750 397 336 315 183 40 1.1k
Anita M. Trichel United States 23 926 1.2× 557 1.4× 478 1.4× 456 1.4× 229 1.3× 37 1.4k
Michael B. Agy United States 20 992 1.3× 676 1.7× 428 1.3× 401 1.3× 409 2.2× 46 1.6k
Istvan Adany United States 21 960 1.3× 435 1.1× 411 1.2× 399 1.3× 149 0.8× 35 1.1k
Peter ten Haaft Netherlands 22 1.0k 1.4× 631 1.6× 407 1.2× 439 1.4× 172 0.9× 43 1.3k
Claire Deléage United States 21 987 1.3× 607 1.5× 745 2.2× 485 1.5× 270 1.5× 52 1.7k
Hassan M. Naif Australia 25 1.1k 1.4× 1.1k 2.7× 494 1.5× 241 0.8× 184 1.0× 40 1.8k
Cheick Coulibaly Germany 18 608 0.8× 320 0.8× 313 0.9× 298 0.9× 177 1.0× 41 966
Susanna L. Lamers United States 21 872 1.2× 155 0.4× 604 1.8× 334 1.1× 210 1.1× 74 1.2k
Jana L. Jacobs United States 16 273 0.4× 222 0.6× 438 1.3× 175 0.6× 290 1.6× 34 877
S Goldstein United States 12 1.0k 1.4× 451 1.1× 470 1.4× 495 1.6× 129 0.7× 21 1.2k

Countries citing papers authored by Binhua Ling

Since Specialization
Citations

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

Fields of papers citing papers by Binhua Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binhua Ling

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

All Works

20 of 20 papers shown
1.
Li, Yue, et al.. (2025). ResponsiveView: Enhancing 3D Artifact Viewing Experience in VR Museums. IEEE Transactions on Visualization and Computer Graphics. 31(5). 2870–2879.
3.
Spear, Mark, Jia Guo, Yajing Fu, et al.. (2024). Suppression of viral rebound by a Rev-dependent lentiviral particle in SIV-infected rhesus macaques. Gene Therapy. 32(1). 16–24.
4.
Wu, Fei, G. Torre, Jason Dufour, et al.. (2023). Lymphoid tissues contribute to plasma viral clonotypes early after antiretroviral therapy interruption in SIV-infected rhesus macaques. Science Translational Medicine. 15(726). eadi9867–eadi9867. 6 indexed citations
5.
Lee, Eun Hee, Marina McDew‐White, Xavier Álvarez, et al.. (2023). Cannabinoid enhancement of lncRNA MMP25-AS1/MMP25 interaction reduces neutrophil infiltration and intestinal epithelial injury in HIV/SIV infection. JCI Insight. 8(7). 9 indexed citations
6.
Wu, Fei, Yaozhong Liu, & Binhua Ling. (2022). MTD: a unique pipeline for host and meta-transcriptome joint and integrative analyses of RNA-seq data. Briefings in Bioinformatics. 23(3). 4 indexed citations
7.
Wu, Fei, Mahesh Mohan, Wenhui Hu, et al.. (2022). Neuroinflammatory Profiling in SIV-Infected Chinese-Origin Rhesus Macaques on Antiretroviral Therapy. Viruses. 14(1). 139–139. 5 indexed citations
8.
Wong, Lilly, Zhengyu Wei, Xianwei Wang, et al.. (2022). Microglia-Specific Promoter Activities of HEXB Gene. Frontiers in Cellular Neuroscience. 16. 808598–808598. 11 indexed citations
9.
McDew‐White, Marina, Eun-Hee Lee, Xavier Álvarez, et al.. (2021). Cannabinoid control of gingival immune activation in chronically SIV-infected rhesus macaques involves modulation of the indoleamine-2,3-dioxygenase-1 pathway and salivary microbiome. EBioMedicine. 75. 103769–103769. 12 indexed citations
10.
Doyle‐Meyers, Lara, et al.. (2020). Alterations of the gut bacterial microbiota in rhesus macaques with SIV infection and on short- or long-term antiretroviral therapy. Scientific Reports. 10(1). 19056–19056. 18 indexed citations
11.
Mancuso, Pietro, Chen Chen, Rafal Kaminski, et al.. (2020). CRISPR based editing of SIV proviral DNA in ART treated non-human primates. Nature Communications. 11(1). 6065–6065. 73 indexed citations
12.
Xu, Wanli, Zhenwu Luo, Alexander V. Alekseyenko, et al.. (2018). Distinct systemic microbiome and microbial translocation are associated with plasma level of anti-CD4 autoantibody in HIV infection. Scientific Reports. 8(1). 12863–12863. 19 indexed citations
14.
Ling, Binhua, Linda B. Rogers, Ann-Marie Johnson, et al.. (2013). Effect of Combination Antiretroviral Therapy on Chinese Rhesus Macaques of Simian Immunodeficiency Virus Infection. AIDS Research and Human Retroviruses. 29(11). 1465–1474. 11 indexed citations
15.
Hasegawa, Atsuhiko, Binhua Ling, Juan T. Borda, et al.. (2009). The level of monocyte turnover predicts disease progression in the macaque model of AIDS. Blood. 114(14). 2917–2925. 113 indexed citations
16.
Veazey, Ronald S., Binhua Ling, Linda C. Green, et al.. (2009). Topically Applied Recombinant Chemokine Analogues Fully Protect Macaques from Vaginal Simian‐Human Immunodeficiency Virus Challenge. The Journal of Infectious Diseases. 199(10). 1525–1527. 61 indexed citations
17.
Ling, Binhua, Ronald S. Veazey, & Preston A. Marx. (2008). Nonpathogenic CCR2-tropic SIVrcm after serial passage and its effect on SIVmac infection of Indian rhesus macaques. Virology. 379(1). 38–44. 6 indexed citations
18.
Ling, Binhua, et al.. (2004). A Link between SIVsm in Sooty Mangabeys (SM) in Wild-Living Monkeys in Sierra Leone and SIVsm in an American-Based SM Colony. AIDS Research and Human Retroviruses. 20(12). 1348–1351. 7 indexed citations
19.
Veazey, Ronald S., Binhua Ling, Ivona Pandrea, et al.. (2003). Decreased CCR5 Expression on CD4 + T Cells of SIV-Infected Sooty Mangabeys. AIDS Research and Human Retroviruses. 19(3). 227–233. 36 indexed citations
20.
Ling, Binhua, Ronald S. Veazey, Amara Luckay, et al.. (2002). SIVmac pathogenesis in rhesus macaques of Chinese and Indian origin compared with primary HIV infections in humans. AIDS. 16(11). 1489–1496. 194 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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