Jonathan E. Nuss
Impact in
Papers in
-
- DNA Repair Mechanisms 4
- Biochemical and Structural Characterization 3
- DNA and Nucleic Acid Chemistry 3
- Mitochondrial Function and Pathology 3
- Neurology 16
- Botulinum Toxin and Related Neurological Disorders 16
- Neurological disorders and treatments 9
- Co-authors
- John Papaconstantinou (6 shared papers)Kashyap Choksi (4 shared papers)James H. DeFord (5 shared papers)Sina Bavari (21 shared papers)James C. Burnett (12 shared papers)Jeffrey P. Rabek (2 shared papers)Rick Gussio (9 shared papers)Gerald M. Alter (4 shared papers)
- Journals
- PLoS ONE (4 papers)Biochemistry (3 papers)Journal of Medicinal Chemistry (3 papers)SLAS DISCOVERY (2 papers)Aging (2 papers)
- Partner nations
- United StatesSerbiaItaly
In The Last Decade
Jonathan E. Nuss
32 papers receiving 892 citations
Peers
Comparison fields: 5 of 98
- Aging 54
- Neurology 243
- Infectious Diseases 142
- Cellular and Molecular Neuroscience 148
- Cell Biology 123
Countries citing papers authored by Jonathan E. Nuss
This map shows the geographic impact of Jonathan E. Nuss'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 E. Nuss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan E. Nuss more than expected).
Fields of papers citing papers by Jonathan E. Nuss
This network shows the impact of papers produced by Jonathan E. Nuss. 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 E. Nuss. The network helps show where Jonathan E. Nuss may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan E. Nuss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 108 | |
| 2 | 2017 | 73 | |
| 3 | 2005 | 71 | |
| 4 | 2007 | 69 | |
| 5 | 2008 | 61 | |
| 6 | 2009 | 47 | |
| 7 | 2011 | 40 | |
| 8 | 2009 | 39 | |
| 9 | 2011 | 38 | |
| 10 | 2008 | 30 | |
| 11 | 2014 | 27 | |
| 12 | 2011 | 27 | |
| 13 | 2014 | 25 | |
| 14 | 2013 | 25 | |
| 15 | 2009 | 24 | |
| 16 | 2011 | 22 | |
| 17 | 2010 | 21 | |
| 18 | 2019 | 19 | |
| 19 | 2015 | 17 | |
| 20 | 2009 | 17 |
About Jonathan E. Nuss
Jonathan E. Nuss is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Infectious Diseases and Epidemiology, having authored 32 papers that have together received 913 indexed citations. Recurring topics across this work include Botulinum Toxin and Related Neurological Disorders (16 papers), Neurological disorders and treatments (9 papers), Hereditary Neurological Disorders (8 papers), DNA Repair Mechanisms (4 papers), Viral Infections and Outbreaks Research (4 papers), Biochemical and Structural Characterization (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Aging (54 citations), Neurology (243 citations), Infectious Diseases (142 citations), Cellular and Molecular Neuroscience (148 citations) and Cell Biology (123 citations). Jonathan E. Nuss has collaborated with scholars based in United States, Serbia and Italy. Frequent co-authors include John Papaconstantinou, Kashyap Choksi, James H. DeFord, Sina Bavari, James C. Burnett, Jeffrey P. Rabek, Rick Gussio, Gerald M. Alter, William H. Boylston and Jacob G. Robison. Their work appears in journals such as PLoS ONE, Biochemistry, Journal of Medicinal Chemistry, SLAS DISCOVERY and Aging.
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.