John D. Cleary

106 papers receiving 4.6k citations

Hit Papers

Repeat instability: mechanisms of dynamic mutations 2005 · 653 citations
6530+7+14Years since publication200400600

Peers

John D. Cleary
Comparison fields: 5 of 134
  • Infectious Diseases 1.4k
  • Cellular and Molecular Neuroscience 1.3k
  • Molecular Biology 2.4k
  • Microbiology 199
  • Epidemiology 1.1k
Replace Rekha G. Panchal with:
Rekha G. Panchal United States
Helen S. Goodridge United States
Nicholas A. Williamson Australia
Lynda M. Stuart United States
Daniel Kalman United States
R. Martin Vabulas Germany
Kohji Moriishi Japan
Berish Y. Rubin United States
Michael Bukrinsky United States
Oberdan Léo Belgium
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Rekha G. Panchal · 1×
Citations per year

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-authors

The 25 scholars most cited alongside John D. Cleary, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John D. Cleary Line = papers co-authored together John D. Cleary links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Repeat instability: mechanisms of dynamic mutations
Hit paper breakdown →
2005653
2 2003409
3 2010333
4 2009258
5 2003169
6 2002158
7 2003112
8 2013111
9 2003111
10 2008100
11 2017100
12 200898
13 201794
14 199593
15 201487
16 201883
17 199881
18 201872
19 200570
20 201762

About John D. Cleary

John D. Cleary is a scholar working on Infectious Diseases, Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology and Pharmacology, having authored 109 papers that have together received 4.6k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (36 papers), Genetic Neurodegenerative Diseases (29 papers), Mitochondrial Function and Pathology (16 papers), Fungal Infections and Studies (12 papers), RNA Research and Splicing (9 papers), Infectious Diseases and Mycology (8 papers), Reproductive tract infections research (7 papers) and DNA Repair Mechanisms (6 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Cellular and Molecular Neuroscience (1.3k citations), Molecular Biology (2.4k citations), Microbiology (199 citations) and Epidemiology (1.1k citations). John D. Cleary has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Christopher E. Pearson, Kerrie Nichol Edamura, Laura P.W. Ranum, Stanley W. Chapman, Arturo López Castel, P. David Rogers, David S. Perlin, Guillermo García‐Effrón, Steven Park and Samuel Lee. Their work appears in journals such as Annals of Pharmacotherapy, Antimicrobial Agents and Chemotherapy, Human Molecular Genetics, The Journal of Infectious Diseases and Clinical Infectious Diseases.

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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