Zachary Klase

1.6k total citations
37 papers, 1.3k citations indexed

About

Zachary Klase is a scholar working on Molecular Biology, Virology and Immunology. According to data from OpenAlex, Zachary Klase has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Virology and 17 papers in Immunology. Recurrent topics in Zachary Klase's work include HIV Research and Treatment (18 papers), T-cell and Retrovirus Studies (8 papers) and RNA Interference and Gene Delivery (8 papers). Zachary Klase is often cited by papers focused on HIV Research and Treatment (18 papers), T-cell and Retrovirus Studies (8 papers) and RNA Interference and Gene Delivery (8 papers). Zachary Klase collaborates with scholars based in United States, Singapore and France. Zachary Klase's co-authors include Fatah Kashanchi, Reem Berro, Jason M. Brenchley, Timothy A. McCaffrey, Rafael Winograd, Mohammad Heydarian, Kuan‐Teh Jeang, Molly Perkins, Sergeï Nekhai and Kylene Kehn‐Hall and has published in prestigious journals such as Journal of Biological Chemistry, Immunity and PLoS ONE.

In The Last Decade

Zachary Klase

37 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zachary Klase United States 17 655 598 391 379 225 37 1.3k
Sergey Iordanskiy United States 19 1.0k 1.6× 486 0.8× 541 1.4× 398 1.1× 189 0.8× 36 1.5k
Monsef Benkirane France 8 708 1.1× 853 1.4× 372 1.0× 587 1.5× 318 1.4× 9 1.5k
Valerie Bosch Germany 20 611 0.9× 883 1.5× 586 1.5× 416 1.1× 452 2.0× 44 1.7k
Yamina Bennasser France 22 1.9k 2.8× 862 1.4× 286 0.7× 773 2.0× 246 1.1× 34 2.8k
Karine Triques France 9 686 1.0× 554 0.9× 395 1.0× 155 0.4× 147 0.7× 12 1.2k
Geoffrey H. Holm United States 17 274 0.4× 350 0.6× 738 1.9× 416 1.1× 195 0.9× 20 1.2k
Vineela Chukkapalli United States 12 497 0.8× 554 0.9× 227 0.6× 212 0.6× 125 0.6× 15 922
Lily I. Wu United States 18 953 1.5× 1.2k 2.0× 632 1.6× 650 1.7× 482 2.1× 21 2.0k
Fadila Bouamr United States 23 786 1.2× 947 1.6× 507 1.3× 461 1.2× 423 1.9× 38 1.8k
Jiřı́ Hejnar Czechia 25 1.1k 1.7× 413 0.7× 302 0.8× 404 1.1× 349 1.6× 80 1.9k

Countries citing papers authored by Zachary Klase

Since Specialization
Citations

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

Fields of papers citing papers by Zachary Klase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zachary Klase

This figure shows the co-authorship network connecting the top 25 collaborators of Zachary Klase. A scholar is included among the top collaborators of Zachary Klase 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 Zachary Klase. Zachary Klase 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.
Rashad, Adel A., et al.. (2021). Alprazolam Prompts HIV-1 Transcriptional Reactivation and Enhances CTL Response Through RUNX1 Inhibition and STAT5 Activation. Frontiers in Neurology. 12. 663793–663793. 3 indexed citations
2.
Duyne, Rachel Van, et al.. (2020). Benzodiazepines Drive Alteration of Chromatin at the Integrated HIV-1 LTR. Viruses. 12(2). 191–191. 6 indexed citations
3.
Li, Yuan, Zachary Klase, & Luca Sardo. (2020). Visualizing Chromatin Modifications in Isolated Nuclei. Methods in molecular biology. 2175. 23–31. 1 indexed citations
4.
Sardo, Luca, et al.. (2020). Morphine exposure exacerbates HIV-1 Tat driven changes to neuroinflammatory factors in cultured astrocytes. PLoS ONE. 15(3). e0230563–e0230563. 10 indexed citations
5.
Pirrone, Vanessa, et al.. (2018). Defining the molecular mechanisms of HIV‐1 Tat secretion: PtdIns(4,5)P2 at the epicenter. Traffic. 19(9). 655–665. 28 indexed citations
6.
Sardo, Luca, et al.. (2016). The inhibition of microRNAs by HIV-1 Tat suppresses beta catenin activity in astrocytes. Retrovirology. 13(1). 25–25. 13 indexed citations
7.
Klase, Zachary, et al.. (2016). A CRISPR Approach for Reactivating Latent HIV-1. Molecular Therapy. 24(3). 416–418. 4 indexed citations
8.
Klase, Zachary, Alexandra M. Ortiz, Claire Deléage, et al.. (2015). Dysbiotic bacteria translocate in progressive SIV infection. Mucosal Immunology. 8(5). 1009–1020. 106 indexed citations
9.
Sampey, Gavin C., Mohammed Saifuddin, Angela Schwab, et al.. (2015). Exosomes from HIV-1 infected cells stimulate production of pro-inflammatory cytokines through TAR RNA.. Journal of Virus Eradication. 1. 22–22. 1 indexed citations
10.
Sampey, Gavin C., Mohammed Saifuddin, Angela Schwab, et al.. (2015). Exosomes from HIV-1-infected Cells Stimulate Production of Pro-inflammatory Cytokines through Trans-activating Response (TAR) RNA. Journal of Biological Chemistry. 291(3). 1251–1266. 168 indexed citations
11.
Klase, Zachary, Laurent Houzet, & Kuan‐Teh Jeang. (2013). Quantification of miRNA by Poly(A)-RT-qPCR Arrays and Verification of Target Sites in HIV-1 Using a One-LTR Infectious Molecular Clone. Methods in molecular biology. 1087. 285–296. 2 indexed citations
12.
Sampey, Gavin C., Irene Guendel, Ravi Das, et al.. (2012). Transcriptional Gene Silencing (TGS) via the RNAi Machinery in HIV-1 Infections. Biology. 1(2). 339–369. 11 indexed citations
13.
Easley, Rebecca, Lawrence Carpio, Irene Guendel, et al.. (2011). Human T-Lymphotropic Virus Type 1 transcription and chromatin-remodeling complexes. Retrovirology. 8(S1). 3 indexed citations
14.
Lau, Joanne, Meera Gurumurthy, Raymond W. M. Ng, et al.. (2008). XBP-1, a Novel Human T-Lymphotropic Virus Type 1 (HTLV-1) Tax Binding Protein, Activates HTLV-1 Basal and Tax-Activated Transcription. Journal of Virology. 82(9). 4343–4353. 19 indexed citations
15.
Klase, Zachary, Rachel Van Duyne, & Fatah Kashanchi. (2008). Identification of Potential Drug Targets Using Genomics and Proteomics: A Systems Approach. Advances in pharmacology. 56. 327–368. 2 indexed citations
16.
Agbottah, Emmanuel, Wen-I Yeh, Reem Berro, et al.. (2008). Two specific drugs, BMS-345541 and purvalanol A induce apoptosis of HTLV-1 infected cells through inhibition of the NF-kappaB and cell cycle pathways. AIDS Research and Therapy. 5(1). 12–12. 16 indexed citations
17.
Berro, Reem, Cynthia de la Fuente, Zachary Klase, et al.. (2007). Identifying the Membrane Proteome of HIV-1 Latently Infected Cells. Journal of Biological Chemistry. 282(11). 8207–8218. 51 indexed citations
19.
Ammosova, Tatiana, Reem Berro, Marina Jerebtsova, et al.. (2006). Phosphorylation of HIV-1 Tat by CDK2 in HIV-1 transcription. Retrovirology. 3(1). 78–78. 73 indexed citations
20.
Fuente, Cynthia de la, Zachary Klase, Katharine Strouss, et al.. (2006). Involvement of HTLV-I Tax and CREB in aneuploidy: a bioinformatics approach. Retrovirology. 3(1). 43–43. 16 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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