David A. Ball
Impact in
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 5%
Papers in
-
- Genomics and Chromatin Dynamics 12
- Gene Regulatory Network Analysis 10
- RNA Research and Splicing 8
- Fungal and yeast genetics research 5
- Biophysics 14
- Advanced Fluorescence Microscopy Techniques 14
- Co-authors
- Tatiana Karpova (18 shared papers)Ville Paakinaho (3 shared papers)Diego M. Presman (3 shared papers)Gordon L. Hager (4 shared papers)Gregory M. Alushin (1 shared paper)Vincent H. Ramey (1 shared paper)Eva Nogales (1 shared paper)Nikolaus Grigorieff (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)PLoS ONE (2 papers)Nucleic Acids Research (2 papers)Blood (2 papers)Cell Cycle (2 papers)
- Partner nations
- United StatesItalyFrance
In The Last Decade
David A. Ball
47 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 142
- Biophysics 216
- Structural Biology 42
- Cell Biology 289
- Molecular Biology 1.2k
- Virology 54
Countries citing papers authored by David A. Ball
This map shows the geographic impact of David A. Ball'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 David A. Ball with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Ball more than expected).
Fields of papers citing papers by David A. Ball
This network shows the impact of papers produced by David A. Ball. 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 David A. Ball. The network helps show where David A. Ball may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Ball, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 244 | |
| 2 | 2016 | 227 | |
| 3 | 2013 | 150 | |
| 4 | 2019 | 145 | |
| 5 | 2017 | 110 | |
| 6 | 2017 | 76 | |
| 7 | 2010 | 74 | |
| 8 | 2008 | 61 | |
| 9 | 2018 | 57 | |
| 10 | 2009 | 56 | |
| 11 | 2022 | 52 | |
| 12 | 2014 | 49 | |
| 13 | 2016 | 46 | |
| 14 | 2011 | 45 | |
| 15 | 2012 | 44 | |
| 16 | 2006 | 42 | |
| 17 | 2009 | 33 | |
| 18 | 2016 | 29 | |
| 19 | 2016 | 29 | |
| 20 | 2012 | 27 |
About David A. Ball
David A. Ball is a scholar working on Molecular Biology, Biophysics, Physical Therapy, Sports Therapy and Rehabilitation, Safety, Risk, Reliability and Quality and Cell Biology, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (14 papers), Genomics and Chromatin Dynamics (12 papers), Gene Regulatory Network Analysis (10 papers), RNA Research and Splicing (8 papers), Older Adults Driving Studies (6 papers), Traffic and Road Safety (5 papers), Fungal and yeast genetics research (5 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Biophysics (216 citations), Structural Biology (42 citations), Cell Biology (289 citations), Molecular Biology (1.2k citations) and Virology (54 citations). David A. Ball has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Tatiana Karpova, Ville Paakinaho, Diego M. Presman, Gordon L. Hager, Gregory M. Alushin, Vincent H. Ramey, Eva Nogales, Nikolaus Grigorieff, Sebastiano Pasqualato and Tatsuya Morisaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE, Nucleic Acids Research, Blood and Cell Cycle.
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.