Joseph Jablonski

912 total citations
17 papers, 544 citations indexed

About

Joseph Jablonski is a scholar working on Molecular Biology, Infectious Diseases and Virology. According to data from OpenAlex, Joseph Jablonski has authored 17 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Infectious Diseases and 8 papers in Virology. Recurrent topics in Joseph Jablonski's work include HIV Research and Treatment (8 papers), RNA Research and Splicing (8 papers) and RNA and protein synthesis mechanisms (5 papers). Joseph Jablonski is often cited by papers focused on HIV Research and Treatment (8 papers), RNA Research and Splicing (8 papers) and RNA and protein synthesis mechanisms (5 papers). Joseph Jablonski collaborates with scholars based in United States, Italy and France. Joseph Jablonski's co-authors include Massimo Caputi, Susana T. Valente, Sonia Mediouni, Mark A. Clementz, Mauro Giacca, Antonio L. Amelio, Jay P. McLaughlin, Jason J. Paris, Guillaume Mousseau and Cari F. Kessing and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Virology.

In The Last Decade

Joseph Jablonski

17 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Jablonski United States 15 298 266 175 68 46 17 544
Sonia Mediouni United States 16 267 0.9× 383 1.4× 205 1.2× 95 1.4× 76 1.7× 25 635
Fadoua Daouad France 8 169 0.6× 288 1.1× 153 0.9× 103 1.5× 69 1.5× 10 527
Jeanne Van Assche France 6 127 0.4× 212 0.8× 122 0.7× 74 1.1× 48 1.0× 6 405
Mario Canki United States 13 204 0.7× 308 1.2× 116 0.7× 139 2.0× 82 1.8× 18 607
Yosef Sabo United States 11 227 0.8× 129 0.5× 311 1.8× 76 1.1× 91 2.0× 15 603
Shalmali Bivalkar-Mehla United States 6 137 0.5× 185 0.7× 125 0.7× 90 1.3× 44 1.0× 7 405
Cari F. Kessing United States 9 177 0.6× 421 1.6× 262 1.5× 133 2.0× 67 1.5× 9 544
Abdelaziz Benjouad Morocco 12 235 0.8× 105 0.4× 64 0.4× 66 1.0× 43 0.9× 35 541
Larance Ronsard United States 17 301 1.0× 105 0.4× 130 0.7× 202 3.0× 156 3.4× 37 687
Barbara Holstermann Germany 6 101 0.3× 67 0.3× 44 0.3× 69 1.0× 120 2.6× 6 348

Countries citing papers authored by Joseph Jablonski

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Jablonski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Jablonski

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

All Works

17 of 17 papers shown
1.
Wang, Hao, Mahmud Arif Pavel, Joseph Jablonski, et al.. (2023). The role of high cholesterol in SARS-CoV-2 infectivity. Journal of Biological Chemistry. 299(6). 104763–104763. 22 indexed citations
2.
Pavel, Mahmud Arif, Hao Wang, Sonia Mediouni, et al.. (2022). Hydroxychloroquine blocks SARS-CoV-2 entry into the endocytic pathway in mammalian cell culture. Communications Biology. 5(1). 958–958. 29 indexed citations
3.
Vartak, Richa, Joseph Jablonski, Sonia Mediouni, et al.. (2022). Bictegravir nanomicelles and anionic pullulan loaded vaginal film: Dual mechanistic pre-exposure prophylaxis (PrEP) for HIV. International Journal of Biological Macromolecules. 221. 416–425. 5 indexed citations
4.
Mediouni, Sonia, Joseph Jablonski, Cari F. Kessing, et al.. (2020). Oregano Oil and Its Principal Component, Carvacrol, Inhibit HIV-1 Fusion into Target Cells. Journal of Virology. 94(15). 45 indexed citations
5.
Vartak, Richa, Manali Patki, Joseph Jablonski, et al.. (2020). β-cyclodextrin polymer/Soluplus® encapsulated Ebselen ternary complex (EβpolySol) as a potential therapy for vaginal candidiasis and pre-exposure prophylactic for HIV. International Journal of Pharmaceutics. 589. 119863–119863. 25 indexed citations
6.
Patki, Manali, Richa Vartak, Joseph Jablonski, et al.. (2020). Efavirenz nanomicelles loaded vaginal film (EZ film) for preexposure prophylaxis (PrEP) of HIV. Colloids and Surfaces B Biointerfaces. 194. 111174–111174. 15 indexed citations
7.
Mousseau, Guillaume, Rachna Aneja, Mark A. Clementz, et al.. (2019). Resistance to the Tat Inhibitor Didehydro-Cortistatin A Is Mediated by Heightened Basal HIV-1 Transcription. mBio. 10(4). 33 indexed citations
8.
Mediouni, Sonia, Krishna Chinthalapudi, Joseph Jablonski, et al.. (2019). Didehydro-Cortistatin A Inhibits HIV-1 by Specifically Binding to the Unstructured Basic Region of Tat. mBio. 10(1). 67 indexed citations
9.
Mediouni, Sonia, Cari F. Kessing, Joseph Jablonski, et al.. (2019). The Tat inhibitor didehydro‐cortistatin A suppresses SIV replication and reactivation. The FASEB Journal. 33(7). 8280–8293. 19 indexed citations
10.
Mediouni, Sonia, Joseph Jablonski, Audrey S. Richard, et al.. (2018). Potent suppression of HIV-1 cell attachment by Kudzu root extract. Retrovirology. 15(1). 64–64. 16 indexed citations
11.
Mediouni, Sonia, Joseph Jablonski, Jason J. Paris, et al.. (2015). Didehydro-Cortistatin A Inhibits HIV-1 Tat Mediated Neuroinflammation and Prevents Potentiation of Cocaine Reward in Tat Transgenic Mice. Current HIV Research. 13(1). 64–79. 62 indexed citations
12.
Jablonski, Joseph, Mark A. Clementz, Kevin Ryan, & Susana T. Valente. (2014). Analysis of RNA Processing Reactions Using Cell Free Systems: 3' End Cleavage of Pre-mRNA Substrates <em>in vitro</em>. Journal of Visualized Experiments. 1 indexed citations
13.
Mahal, Sukhvir P., et al.. (2012). Propagation of RML Prions in Mice Expressing PrP Devoid of GPI Anchor Leads to Formation of a Novel, Stable Prion Strain. PLoS Pathogens. 8(6). e1002746–e1002746. 30 indexed citations
14.
Huranová, Martina, Joseph Jablonski, Aleš Benda, et al.. (2009). In vivo detection of RNA-binding protein interactions with cognate RNA sequences by fluorescence resonance energy transfer. RNA. 15(11). 2063–2071. 22 indexed citations
15.
Jablonski, Joseph, Antonio L. Amelio, Mauro Giacca, & Massimo Caputi. (2009). The transcriptional transactivator Tat selectively regulates viral splicing. Nucleic Acids Research. 38(4). 1249–1260. 39 indexed citations
16.
Jablonski, Joseph, Emanuele Buratti, Cristiana Stuani, & Massimo Caputi. (2008). The Secondary Structure of the Human Immunodeficiency Virus Type 1 Transcript Modulates Viral Splicing and Infectivity. Journal of Virology. 82(16). 8038–8050. 26 indexed citations
17.
Jablonski, Joseph & Massimo Caputi. (2008). Role of Cellular RNA Processing Factors in Human Immunodeficiency Virus Type 1 mRNA Metabolism, Replication, and Infectivity. Journal of Virology. 83(2). 981–992. 88 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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