David A. Ball

2.5k total citations
49 papers, 1.7k citations indexed

About

David A. Ball is a scholar working on Molecular Biology, Biophysics and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, David A. Ball has authored 49 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 14 papers in Biophysics and 6 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in David A. Ball's work include Advanced Fluorescence Microscopy Techniques (14 papers), Genomics and Chromatin Dynamics (12 papers) and Gene Regulatory Network Analysis (10 papers). David A. Ball is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (14 papers), Genomics and Chromatin Dynamics (12 papers) and Gene Regulatory Network Analysis (10 papers). David A. Ball collaborates with scholars based in United States, Italy and France. David A. Ball's co-authors include Tatiana Karpova, Ville Paakinaho, Diego M. Presman, Gordon L. Hager, Vincent H. Ramey, Sebastiano Pasqualato, Eva Nogales, Gregory M. Alushin, Nikolaus Grigorieff and Davide Mazza and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

David A. Ball

46 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Ball United States 21 1.2k 285 217 211 123 49 1.7k
Rachel J. Errington United Kingdom 27 1.9k 1.6× 229 0.8× 296 1.4× 212 1.0× 166 1.3× 110 2.8k
Todd C. Peterson United States 24 1.8k 1.5× 67 0.2× 48 0.2× 413 2.0× 92 0.7× 52 2.5k
Saori Kashiwagi Japan 15 1.6k 1.4× 364 1.3× 304 1.4× 268 1.3× 164 1.3× 39 2.4k
Roland F. Schwarz Germany 17 977 0.8× 112 0.4× 88 0.4× 284 1.3× 76 0.6× 44 2.0k
Graham Wright Singapore 23 968 0.8× 331 1.2× 174 0.8× 99 0.5× 169 1.4× 79 1.8k
Mordechai Choder Israel 33 3.2k 2.7× 130 0.5× 10 0.0× 539 2.6× 127 1.0× 58 3.9k
Paul Piehowski United States 29 1.7k 1.5× 108 0.4× 132 0.6× 244 1.2× 216 1.8× 79 3.2k
Pierre Leclerc Canada 33 756 0.6× 154 0.5× 86 0.4× 584 2.8× 331 2.7× 95 4.0k
Peter A. Thomason United Kingdom 19 919 0.8× 608 2.1× 77 0.4× 170 0.8× 86 0.7× 41 1.5k
Satoko Yamaguchi Japan 18 634 0.5× 330 1.2× 68 0.3× 162 0.8× 81 0.7× 64 1.5k

Countries citing papers authored by David A. Ball

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David A. Ball

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Ball. A scholar is included among the top collaborators of David A. Ball 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 David A. Ball. David A. Ball 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.
Wei, Yi, Jothy Dhakshnamoorthy, Martin Zofall, et al.. (2026). Stress controls heterochromatin inheritance via histone H3 ubiquitylation. Nature. 650(8102). 768–778.
2.
Fettweis, Grégory, Kaustubh Wagh, Diana A. Stavreva, et al.. (2025). Transcription factors form a ternary complex with NIPBL/MAU2 to localize cohesin at enhancers. Nucleic Acids Research. 53(9). 2 indexed citations
3.
Correll, Carl C., Udo Rudloff, Jeremy D. Schmit, et al.. (2024). Crossing boundaries of light microscopy resolution discerns novel assemblies in the nucleolus. Histochemistry and Cell Biology. 162(1-2). 161–183. 9 indexed citations
4.
Jeon, Ki Seok, Muhammad Hamzah Saleem, David A. Ball, & Ki Hwan Lee. (2024). Dynamic and Photoluminescence Behavior of Nanocrystallites and Bulk Porous Silicon Texture. Semiconductors. 58(7). 565–570.
5.
Zhang, Liang, H. Ravishankar, Lixin Fan, et al.. (2023). Architectural basis for cylindrical self-assembly governing Plk4-mediated centriole duplication in human cells. Communications Biology. 6(1). 712–712. 1 indexed citations
6.
Patange, Simona, David A. Ball, Yihan Wan, et al.. (2022). MYC amplifies gene expression through global changes in transcription factor dynamics. Cell Reports. 38(4). 110292–110292. 47 indexed citations
7.
Donovan, Benjamin, Anh Huynh, David A. Ball, et al.. (2019). Live‐cell imaging reveals the interplay between transcription factors, nucleosomes, and bursting. The EMBO Journal. 38(12). 141 indexed citations
8.
Serebryannyy, Leonid, David A. Ball, Tatiana Karpova, & Tom Misteli. (2018). Single molecule analysis of lamin dynamics. Methods. 157. 56–65. 3 indexed citations
9.
Presman, Diego M., David A. Ball, Ville Paakinaho, et al.. (2017). Quantifying transcription factor binding dynamics at the single-molecule level in live cells. Methods. 123. 76–88. 74 indexed citations
10.
Swinstead, Erin E., Tina Branscombe Miranda, Ville Paakinaho, et al.. (2016). Steroid Receptors Reprogram FoxA1 Occupancy through Dynamic Chromatin Transitions. Cell. 165(3). 593–605. 221 indexed citations
11.
Barik, Debashis, David A. Ball, Jean Peccoud, & John J. Tyson. (2016). A Stochastic Model of the Yeast Cell Cycle Reveals Roles for Feedback Regulation in Limiting Cellular Variability. PLoS Computational Biology. 12(12). e1005230–e1005230. 29 indexed citations
12.
Ball, David A., Matthew W. Lux, Neil Adames, & Jean Peccoud. (2014). Adaptive Imaging Cytometry to Estimate Parameters of Gene Networks Models in Systems and Synthetic Biology. PLoS ONE. 9(9). e107087–e107087. 10 indexed citations
13.
Stavrinos, Despina, Jennifer L. Jones, Annie A. Garner, et al.. (2013). Impact of distracted driving on safety and traffic flow. Accident Analysis & Prevention. 61. 63–70. 146 indexed citations
14.
Joshi, Shilpa A., David A. Ball, Mei Sun, et al.. (2012). EccA1, a Component of the Mycobacterium marinum ESX-1 Protein Virulence Factor Secretion Pathway, Regulates Mycolic Acid Lipid Synthesis. Chemistry & Biology. 19(3). 372–380. 44 indexed citations
15.
Stavrinos, Despina, Annie A. Garner, David A. Ball, et al.. (2011). Impact of Distracted Driving on Traffic-Flow Parameters. 4 indexed citations
16.
Lux, Matthew W., et al.. (2011). Genetic design automation: engineering fantasy or scientific renewal?. Trends in biotechnology. 30(2). 120–126. 45 indexed citations
17.
Ball, David A., et al.. (2011). Oscillatory Dynamics of Cell Cycle Proteins in Single Yeast Cells Analyzed by Imaging Cytometry. PLoS ONE. 6(10). e26272–e26272. 19 indexed citations
18.
Alushin, Gregory M., Vincent H. Ramey, Sebastiano Pasqualato, et al.. (2010). The Ndc80 kinetochore complex forms oligomeric arrays along microtubules. Nature. 467(7317). 805–810. 240 indexed citations
19.
Ball, David A., Guoqing Shen, & Lloyd M. Davis. (2007). Single-molecule detection with axial flow into a micrometer-sized capillary. Applied Optics. 46(7). 1157–1157. 3 indexed citations
20.
Ball, Karlene, Virginia G. Wadley, Jerri D. Edwards, David A. Ball, & Daniel L. Roenker. (2001). Meta-Analysis of Crash Risk Factors Among Older Drivers: Application to a Model Program of Driver Screening. 4 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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