Jonathan Z. Li

17.0k total citations · 4 hit papers
139 papers, 5.4k citations indexed

About

Jonathan Z. Li is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Jonathan Z. Li has authored 139 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Infectious Diseases, 66 papers in Virology and 18 papers in Epidemiology. Recurrent topics in Jonathan Z. Li's work include HIV Research and Treatment (66 papers), HIV/AIDS Research and Interventions (57 papers) and HIV/AIDS drug development and treatment (47 papers). Jonathan Z. Li is often cited by papers focused on HIV Research and Treatment (66 papers), HIV/AIDS Research and Interventions (57 papers) and HIV/AIDS drug development and treatment (47 papers). Jonathan Z. Li collaborates with scholars based in United States, France and Spain. Jonathan Z. Li's co-authors include Daniel R. Kuritzkes, Xu G. Yu, Manish C. Choudhary, Timothy J. Henrich, Florencia Pereyra, Galit Alter, David R. Walt, Tyler N. Starr, Amin Addetia and Jesse D. Bloom and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Jonathan Z. Li

129 papers receiving 5.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prospective mapping of viral mutations that escape antibodies used to treat COVID-19

2021 448 citations Tyler N. Starr, Allison J. Greaney et al. Science profile →
Persistent Circulating Severe Acute Respiratory Syndrome Coronavirus 2 Spike Is Associated With Post-acute Coronavirus Disease 2019 Sequelae

2022 299 citations Zoe Swank, Yasmeen Senussi et al. Clinical Infectious Diseases profile →
Antiretroviral-Free HIV-1 Remission and Viral Rebound After Allogeneic Stem Cell Transplantation

2014 286 citations Timothy J. Henrich, Jonathan Z. Li et al. profile →
A lab-on-a-chip for the concurrent electrochemical detection of SARS-CoV-2 RNA and anti-SARS-CoV-2 antibodies in saliva and plasma

2022 196 citations Galit Alter, Jonathan Z. Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Z. Li United States	39	3.6k	2.8k	1.1k	840	808	139	5.4k
Timothy J. Henrich United States	32	1.9k 0.5×	1.5k 0.5×	684 0.6×	635 0.8×	661 0.8×	99	3.6k
Laurent Bélec France	41	2.4k 0.7×	2.1k 0.8×	576 0.5×	2.2k 2.6×	934 1.2×	262	5.7k
Xu G. Yu United States	46	2.9k 0.8×	5.3k 1.9×	1.4k 1.2×	1.2k 1.4×	4.2k 5.3×	130	7.7k
Otto O. Yang United States	42	1.3k 0.4×	3.2k 1.1×	1.4k 1.3×	1.1k 1.3×	3.2k 4.0×	182	6.6k
Julià Blanco Spain	45	2.1k 0.6×	2.9k 1.0×	1.9k 1.7×	1.0k 1.2×	2.1k 2.6×	213	6.4k
Viviana Simon United States	44	4.4k 1.2×	2.9k 1.0×	2.3k 2.0×	1.9k 2.2×	2.0k 2.5×	131	8.3k
Bruce K. Patterson United States	44	2.0k 0.6×	2.6k 0.9×	1.9k 1.7×	1.6k 1.9×	1.8k 2.3×	126	7.1k
Linos Vandekerckhove Belgium	35	2.2k 0.6×	2.3k 0.8×	1.5k 1.3×	683 0.8×	567 0.7×	160	4.1k
He Tian United States	26	2.0k 0.6×	1.7k 0.6×	649 0.6×	544 0.6×	1.1k 1.3×	51	3.8k
Marylyn M. Addo Germany	53	3.1k 0.9×	5.0k 1.8×	1.8k 1.6×	1.7k 2.1×	4.6k 5.7×	223	10.0k

Countries citing papers authored by Jonathan Z. Li

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Z. Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Z. 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 Jonathan Z. Li. The network helps show where Jonathan Z. Li may publish in the future.

Co-authorship network of co-authors of Jonathan Z. Li

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

All Works

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20 of 20 papers shown

Henrich, Timothy J., Ronald J. Bosch, Catherine Godfrey, et al.. (2024). Sirolimus reduces T cell cycling, immune checkpoint marker expression, and HIV-1 DNA in people with HIV. Cell Reports Medicine. 5(10). 101745–101745. 5 indexed citations

Parikh, Urvi M., Amy Heaps, Daniela Moïsi, et al.. (2024). Comparison Study of the Bio-Plex and Meso Scale Multiplexed SARS-CoV-2 Serology Assays Reveals Evidence of Diminished Host Antibody Responses to SARS-CoV-2 after Monoclonal Antibody Treatment.. SHILAP Revista de lepidopterología. 9(2). 58–78.

Li, Jonathan Z., Zhen Cui, Qing Sun, et al.. (2024). Rapid detection of SARS-CoV-2 variants by molecular-clamping technology-based RT-qPCR. Microbiology Spectrum. 12(11). e0424823–e0424823. 2 indexed citations

Regan, James, Yuting Jiang, Kevin D. Hall, et al.. (2023). Viral and immunologic evaluation of smokers with severe COVID-19. Scientific Reports. 13(1). 17898–17898. 2 indexed citations

McNamara, Ryan P., Julie Boucau, Vicky Roy, et al.. (2023). Anamnestic humoral correlates of immunity across SARS-CoV-2 variants of concern. mBio. 14(4). e0090223–e0090223. 9 indexed citations

Etemad, Behzad, Christy L. Lavine, Yijia Li, et al.. (2023). Autologous neutralizing antibodies increase with early antiretroviral therapy and shape HIV rebound after treatment interruption. Science Translational Medicine. 15(695). eabq4490–eabq4490. 12 indexed citations

Swank, Zoe, Yasmeen Senussi, Zachary Manickas-Hill, et al.. (2022). Persistent Circulating Severe Acute Respiratory Syndrome Coronavirus 2 Spike Is Associated With Post-acute Coronavirus Disease 2019 Sequelae. Clinical Infectious Diseases. 76(3). e487–e490. 299 indexed citations breakdown →

Regan, James, James P. Flynn, Manish C. Choudhary, et al.. (2022). Detection of the Omicron Variant Virus With the Abbott BinaxNow SARS-CoV-2 Rapid Antigen Assay. Open Forum Infectious Diseases. 9(3). ofac022–ofac022. 11 indexed citations

Wang, Chuangqi, Yijia Li, Paulina Kapłonek, et al.. (2022). The Kinetics of SARS-CoV-2 Antibody Development Is Associated with Clearance of RNAemia. mBio. 13(4). e0157722–e0157722. 9 indexed citations

10.

Kim, Myung‐Ho, Shadi Salloum, Jeffrey Wang, et al.. (2021). Type I, II, and III Interferon Signatures Correspond to Coronavirus Disease 2019 Severity. The Journal of Infectious Diseases. 224(5). 777–782. 19 indexed citations

11.

Yonker, Lael M., Julie Boucau, James Regan, et al.. (2021). Virologic Features of Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Children. The Journal of Infectious Diseases. 224(11). 1821–1829. 42 indexed citations

12.

Starr, Tyler N., Allison J. Greaney, Amin Addetia, et al.. (2021). Prospective mapping of viral mutations that escape antibodies used to treat COVID-19. Science. 371(6531). 850–854. 448 indexed citations breakdown →

13.

Choudhary, Manish C., Charles R. Crain, Xueting Qiu, William P. Hanage, & Jonathan Z. Li. (2021). Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Sequence Characteristics of Coronavirus Disease 2019 (COVID-19) Persistence and Reinfection. Clinical Infectious Diseases. 74(2). 237–245. 40 indexed citations

14.

Giron, Leila B., Clovis S. Palmer, Qin Liu, et al.. (2021). Non-invasive plasma glycomic and metabolic biomarkers of post-treatment control of HIV. Nature Communications. 12(1). 3922–3922. 37 indexed citations

15.

Siedner, Mark J., Julie Boucau, Rebecca F. Gilbert, et al.. (2021). Duration of viral shedding and culture positivity with postvaccination SARS-CoV-2 delta variant infections. JCI Insight. 7(2). 26 indexed citations

16.

Siddiqi, Hasan K., Brittany Weber, Guohai Zhou, et al.. (2020). Increased Prevalence of Myocardial Injury in Patients with SARS-CoV-2 Viremia. The American Journal of Medicine. 134(4). 542–546. 19 indexed citations

17.

Andrade, Viviane M., Carla Mavian, Dunja Z. Babič, et al.. (2020). A minor population of macrophage-tropic HIV-1 variants is identified in recrudescing viremia following analytic treatment interruption. Proceedings of the National Academy of Sciences. 117(18). 9981–9990. 45 indexed citations

18.

Hu, Yu‐Chen, Mélanie Prague, Alison L. Hill, et al.. (2020). Comparison of empirical and dynamic models for HIV viral load rebound after treatment interruption. PubMed. 12(s1). 6 indexed citations

19.

Einkauf, Kevin, Guinevere Q. Lee, Ce Gao, et al.. (2019). Intact HIV-1 proviruses accumulate at distinct chromosomal positions during prolonged antiretroviral therapy. Journal of Clinical Investigation. 129(3). 988–998. 180 indexed citations

20.

Li, Jonathan Z., Zabrina L. Brumme, Chanson J. Brumme, et al.. (2011). Factors Associated With Viral Rebound in HIV-1-Infected Individuals Enrolled in a Therapeutic HIV-1 gag Vaccine Trial. The Journal of Infectious Diseases. 203(7). 976–983. 21 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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