John D. Cleary

6.7k total citations · 1 hit paper
109 papers, 4.6k citations indexed

About

John D. Cleary is a scholar working on Infectious Diseases, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, John D. Cleary has authored 109 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Infectious Diseases, 39 papers in Molecular Biology and 29 papers in Cellular and Molecular Neuroscience. Recurrent topics in John D. Cleary's work include Antifungal resistance and susceptibility (36 papers), Genetic Neurodegenerative Diseases (29 papers) and Mitochondrial Function and Pathology (16 papers). John D. Cleary is often cited by papers focused on Antifungal resistance and susceptibility (36 papers), Genetic Neurodegenerative Diseases (29 papers) and Mitochondrial Function and Pathology (16 papers). John D. Cleary collaborates with scholars based in United States, Canada and Japan. John D. Cleary's co-authors include Christopher E. Pearson, Kerrie Nichol Edamura, Laura P.W. Ranum, Stanley W. Chapman, Arturo López Castel, P. David Rogers, Guillermo García‐Effrón, David S. Perlin, Samuel Lee and Steven Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

John D. Cleary

106 papers receiving 4.6k citations

Hit Papers

Repeat instability: mechanisms of dynamic mutations 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John D. Cleary United States 33 2.4k 1.4k 1.3k 1.1k 543 109 4.6k
Rekha G. Panchal United States 38 2.3k 1.0× 1.6k 1.1× 710 0.6× 709 0.6× 641 1.2× 114 5.2k
Lynda M. Stuart United States 35 2.8k 1.2× 571 0.4× 357 0.3× 1.1k 1.0× 354 0.7× 54 7.5k
Nouara Yahi France 43 2.5k 1.0× 1.6k 1.1× 291 0.2× 437 0.4× 161 0.3× 118 5.1k
Michael Bukrinsky United States 51 4.7k 1.9× 2.8k 1.9× 267 0.2× 1.3k 1.1× 990 1.8× 181 10.0k
Daniel Kalman United States 42 2.5k 1.0× 876 0.6× 697 0.5× 638 0.6× 672 1.2× 80 5.2k
Kohji Moriishi Japan 41 2.4k 1.0× 968 0.7× 294 0.2× 1.8k 1.6× 519 1.0× 145 5.8k
Antonello Pessi Italy 40 2.5k 1.0× 973 0.7× 304 0.2× 1.0k 0.9× 144 0.3× 114 5.1k
Yee-Shin Lin Taiwan 53 2.0k 0.8× 3.4k 2.3× 230 0.2× 1.2k 1.1× 321 0.6× 168 7.9k
Helen S. Goodridge United States 33 1.9k 0.8× 1.0k 0.7× 136 0.1× 741 0.7× 209 0.4× 72 6.1k
Yan Wu China 28 1.5k 0.6× 983 0.7× 446 0.3× 1.0k 0.9× 169 0.3× 105 3.9k

Countries citing papers authored by John D. Cleary

Since Specialization
Citations

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

Fields of papers citing papers by John D. Cleary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Cleary. 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 John D. Cleary. The network helps show where John D. Cleary may publish in the future.

Co-authorship network of co-authors of John D. Cleary

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Cleary. A scholar is included among the top collaborators of John D. Cleary 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 John D. Cleary. John D. Cleary 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.
Mishra, Subodh Kumar, Mark T. Handley, Sweta Vangaveti, et al.. (2026). Identification of enzymatically modified isoquercitrin as a therapeutic lead for myotonic dystrophy type 1. PubMed. 3(1). ugag007–ugag007.
2.
Frías, Jesús, Subodh Kumar Mishra, Marina M. Scotti, et al.. (2024). Alternative splicing dysregulation across tissue and therapeutic approaches in a mouse model of myotonic dystrophy type 1. Molecular Therapy — Nucleic Acids. 35(4). 102338–102338. 4 indexed citations
3.
Shorrock, Hannah K., et al.. (2023). Widespread alternative splicing dysregulation occurs presymptomatically in CAG expansion spinocerebellar ataxias. Brain. 147(2). 486–504. 4 indexed citations
4.
Légaré, Cécilia, Hannah K. Shorrock, Man Hung, et al.. (2023). Individual transcriptomic response to strength training for patients with myotonic dystrophy type 1. JCI Insight. 8(14). 8 indexed citations
5.
Wang, Yanlin, Hui Li, John D. Cleary, et al.. (2019). Abnormal nuclear aggregation and myotube degeneration in myotonic dystrophy type 1. Neurological Sciences. 40(6). 1255–1265. 3 indexed citations
6.
Sznajder, Łukasz J., James D. Thomas, Ellie M. Carrell, et al.. (2018). Intron retention induced by microsatellite expansions as a disease biomarker. Proceedings of the National Academy of Sciences. 115(16). 4234–4239. 83 indexed citations
7.
Pattamatta, Amrutha, John D. Cleary, & Laura P.W. Ranum. (2018). All in the Family: Repeats and ALS/FTD. Trends in Neurosciences. 41(5). 247–250. 7 indexed citations
8.
Cleary, John D. & Laura P.W. Ranum. (2014). Repeat associated non-ATG (RAN) translation: new starts in microsatellite expansion disorders. Current Opinion in Genetics & Development. 26. 6–15. 87 indexed citations
9.
Cleary, John D. & Laura P.W. Ranum. (2013). Repeat-associated non-ATG (RAN) translation in neurological disease. Human Molecular Genetics. 22(R1). R45–R51. 111 indexed citations
10.
Cleary, John D., et al.. (2008). Association Between Histoplasma Exposure and Stroke. Journal of Stroke and Cerebrovascular Diseases. 17(5). 312–319. 1 indexed citations
11.
12.
Cleary, John D., Christopher E. Pearson, & Albert R. La Spada. (2006). 23 DNA Replication, Repeat Instability, and Human Disease. Cold Spring Harbor Monograph Archive. 47. 461–480. 1 indexed citations
13.
Cleary, John D. & Christopher E. Pearson. (2005). Replication fork dynamics and dynamic mutations: the fork-shift model of repeat instability. Trends in Genetics. 21(5). 272–280. 70 indexed citations
14.
Pearson, Christopher E., Kerrie Nichol Edamura, & John D. Cleary. (2005). Repeat instability: mechanisms of dynamic mutations. Nature Reviews Genetics. 6(10). 729–742. 653 indexed citations breakdown →
15.
Agarwal, Ameeta K., P. David Rogers, Scott R. Baerson, et al.. (2003). Genome-wide Expression Profiling of the Response to Polyene, Pyrimidine, Azole, and Echinocandin Antifungal Agents in Saccharomyces cerevisiae. Journal of Biological Chemistry. 278(37). 34998–35015. 169 indexed citations
16.
Cleary, John D., et al.. (2003). Effects of Amphotericin B and Caspofungin on Histamine Expression. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 23(8). 966–973. 16 indexed citations
17.
Stiles, Jonathan K., Preetam H. Shah, Lei Xue, et al.. (2000). Molecular typing of Trichomonas vaginalis isolates by HSP70 restriction fragment length polymorphism.. American Journal of Tropical Medicine and Hygiene. 62(4). 441–445. 20 indexed citations
18.
Lushbaugh, William B., John D. Cleary, & Richard W. Finley. (1995). Cytotoxicity of hamycin for Trichomonas vaginalis, HeLa and BHK-21. Journal of Antimicrobial Chemotherapy. 36(5). 795–802. 8 indexed citations
19.
Cleary, John D., Jerry W. Taylor, & Stanley W. Chapman. (1992). Itraconazole in Antifungal Therapy. Annals of Pharmacotherapy. 26(4). 502–509. 49 indexed citations
20.
Cleary, John D. & Bruce Alexander. (1988). Blind versus Nonblind Review: Survey of Selected Medical Journals. Drug Intelligence & Clinical Pharmacy. 22(7-8). 601–602. 15 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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