Jonathan Karn

15.7k total citations · 5 hit papers
133 papers, 12.5k citations indexed

About

Jonathan Karn is a scholar working on Virology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Jonathan Karn has authored 133 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Virology, 75 papers in Molecular Biology and 32 papers in Infectious Diseases. Recurrent topics in Jonathan Karn's work include HIV Research and Treatment (86 papers), RNA Research and Splicing (27 papers) and Immune Cell Function and Interaction (25 papers). Jonathan Karn is often cited by papers focused on HIV Research and Treatment (86 papers), RNA Research and Splicing (27 papers) and Immune Cell Function and Interaction (25 papers). Jonathan Karn collaborates with scholars based in United States, United Kingdom and Switzerland. Jonathan Karn's co-authors include Michael J. Gait, Sydney Brenner, Andrew D. McLachlan, Uri Mbonye, Mudit Tyagi, Leslie Barnett, Gabriele Varani, Fareed Aboul‐ela, C. Martin Stoltzfus and A D Lowe and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jonathan Karn

130 papers receiving 12.1k citations

Hit Papers

Nucleotide sequence of tobacco mosaic virus RNA. 1980 2026 1995 2010 1982 1986 1982 2014 1980 100 200 300 400 500
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.

  1. Nucleotide sequence of tobacco mosaic virus RNA.
    1982 572 citations Jonathan Karn et al. Proceedings of the National Academy of Sciences profile →
  2. Toward a physical map of the genome of the nematode Caenorhabditis elegans
    1986 503 citations Jonathan Karn et al. Proceedings of the National Academy of Sciences profile →
  3. Periodic charge distributions in the myosin rod amino acid sequence match cross-bridge spacings in muscle
    1982 417 citations Jonathan Karn et al. profile →
  4. RNA-directed gene editing specifically eradicates latent and prevents new HIV-1 infection
    2014 411 citations Wenhui Hu, Rafal Kaminski et al. Proceedings of the National Academy of Sciences profile →
  5. Novel bacteriophage lambda cloning vector.
    1980 357 citations Jonathan Karn et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Karn United States 62 8.1k 5.1k 2.5k 1.9k 965 133 12.5k
Michael Way United Kingdom 62 4.9k 0.6× 1.6k 0.3× 616 0.2× 1.8k 0.9× 570 0.6× 159 11.0k
Karin Moelling Germany 49 6.3k 0.8× 1.4k 0.3× 1.8k 0.7× 1.6k 0.8× 474 0.5× 220 9.9k
Terry D. Copeland United States 47 6.8k 0.8× 1.8k 0.4× 1.4k 0.6× 1.6k 0.8× 406 0.4× 92 10.2k
Jeremy Luban United States 68 7.5k 0.9× 7.2k 1.4× 3.6k 1.4× 4.8k 2.5× 551 0.6× 155 14.3k
Mariano A. García-Blanco United States 60 8.5k 1.0× 828 0.2× 2.4k 0.9× 1.4k 0.7× 397 0.4× 195 13.3k
Stewart Shuman United States 73 16.9k 2.1× 2.0k 0.4× 1.6k 0.6× 1.6k 0.8× 2.2k 2.3× 483 21.3k
Kuan‐Teh Jeang United States 64 7.2k 0.9× 3.2k 0.6× 1.7k 0.7× 4.8k 2.5× 449 0.5× 213 13.3k
Yoshiharu Matsuura Japan 79 12.7k 1.6× 1.0k 0.2× 3.9k 1.5× 5.6k 2.9× 606 0.6× 420 27.4k
Stephen H. Hughes United States 79 11.3k 1.4× 9.3k 1.8× 9.3k 3.7× 1.6k 0.8× 1.6k 1.6× 374 21.1k
Philip J. Barr United States 40 4.9k 0.6× 1.6k 0.3× 1.2k 0.5× 1.6k 0.8× 410 0.4× 82 8.7k

Countries citing papers authored by Jonathan Karn

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Karn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Karn

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Karn. A scholar is included among the top collaborators of Jonathan Karn 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 Karn. Jonathan Karn 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.
Freeman, Michael L., Brian Clagett, Konstantin Leskov, et al.. (2025). Interleukin-2 is a potent latency reversal agent in people with treated HIV-1. Science Advances. 11(51). eaea4268–eaea4268.
2.
Gunawardane, Lalith, Farshad Niazi, Uri Mbonye, et al.. (2025). HIV infection reprogrammes CD4+ T cells for quiescence and entry into proviral latency. Nature Microbiology. 10(10). 2454–2471.
3.
Nguyen, Kien, Uri Mbonye, Meenakshi Shukla, et al.. (2024). Structural rearrangements in the nucleus localize latent HIV proviruses to a perinucleolar compartment supportive of reactivation. Proceedings of the National Academy of Sciences. 121(18). e2202003121–e2202003121. 3 indexed citations
4.
Karn, Jonathan, et al.. (2024). Direct Analysis of HIV mRNA m6A Methylation by Nanopore Sequencing. Methods in molecular biology. 2807. 209–227. 2 indexed citations
5.
Khan, Debjit, Fulvia Terenzi, Guanqun Liu, et al.. (2023). A viral pan-end RNA element and host complex define a SARS-CoV-2 regulon. Nature Communications. 14(1). 3385–3385. 9 indexed citations
6.
Kaur, Harpreet, David Alvarez-Carbonell, VIJAY NAGAMPALLI, et al.. (2023). Contemporary Antiretroviral Therapy Dysregulates Iron Transport and Augments Mitochondrial Dysfunction in HIV-Infected Human Microglia and Neural-Lineage Cells. International Journal of Molecular Sciences. 24(15). 12242–12242. 8 indexed citations
7.
Kampmann, Martin, Iart Luca Shytaj, Sheetal Sreeram, et al.. (2023). Genomic profiling of HIV-1 integration in microglia cells links viral integration to the topologically associated domains. Cell Reports. 42(2). 112110–112110. 20 indexed citations
8.
Sreeram, Sheetal, Fengchun Ye, Yoelvis García‐Mesa, et al.. (2022). The potential role of HIV-1 latency in promoting neuroinflammation and HIV-1-associated neurocognitive disorder. Trends in Immunology. 43(8). 630–639. 39 indexed citations
9.
Mbonye, Uri, et al.. (2022). New insights into transcription elongation control of HIV-1 latency and rebound. Trends in Immunology. 44(1). 60–71. 13 indexed citations
10.
Mbonye, Uri, Konstantin Leskov, Meenakshi Shukla, Saba Valadkhan, & Jonathan Karn. (2021). Biogenesis of P-TEFb in CD4+ T cells to reverse HIV latency is mediated by protein kinase C (PKC)-independent signaling pathways. PLoS Pathogens. 17(9). e1009581–e1009581. 15 indexed citations
11.
Nguyen, Kien, Curtis Dobrowolski, Meenakshi Shukla, et al.. (2021). Inhibition of the H3K27 demethylase UTX enhances the epigenetic silencing of HIV proviruses and induces HIV-1 DNA hypermethylation but fails to permanently block HIV reactivation. PLoS Pathogens. 17(10). e1010014–e1010014. 21 indexed citations
12.
Alvarez-Carbonell, David, Fengchun Ye, Yoelvis García‐Mesa, et al.. (2019). Cross-talk between microglia and neurons regulates HIV latency. PLoS Pathogens. 15(12). e1008249–e1008249. 61 indexed citations
13.
Chen, Lechuang, Zhimin Feng, Hong Yue, et al.. (2018). Exosomes derived from HIV-1-infected cells promote growth and progression of cancer via HIV TAR RNA. Nature Communications. 9(1). 4585–4585. 67 indexed citations
14.
Li, Zichong, Uri Mbonye, Xiaohui Wang, et al.. (2018). The KAT5-Acetyl-Histone4-Brd4 axis silences HIV-1 transcription and promotes viral latency. PLoS Pathogens. 14(4). e1007012–e1007012. 45 indexed citations
15.
Das, Biswajit, Curtis Dobrowolski, Benjamin G. Luttge, et al.. (2018). Estrogen receptor-1 is a key regulator of HIV-1 latency that imparts gender-specific restrictions on the latent reservoir. Proceedings of the National Academy of Sciences. 115(33). E7795–E7804. 115 indexed citations
16.
17.
Hu, Wenhui, Rafal Kaminski, Fan Yang, et al.. (2014). RNA-directed gene editing specifically eradicates latent and prevents new HIV-1 infection. Proceedings of the National Academy of Sciences. 111(31). 11461–11466. 411 indexed citations breakdown →
18.
Lalonde, Matthew S., Michael A. Lobritz, Annette N. Ratcliff, et al.. (2011). Inhibition of Both HIV-1 Reverse Transcription and Gene Expression by a Cyclic Peptide that Binds the Tat-Transactivating Response Element (TAR) RNA. PLoS Pathogens. 7(5). e1002038–e1002038. 62 indexed citations
19.
Karn, Jonathan. (1995). Biochemistry, molecular biology, and drug discovery. Oxford University Press eBooks. 6 indexed citations
20.
Karn, Jonathan. (1995). Virology and immunology. Oxford University Press eBooks. 1 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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