Arthur Prindle

4.5k total citations · 3 hit papers
24 papers, 2.8k citations indexed

About

Arthur Prindle is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Arthur Prindle has authored 24 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Plant Science and 11 papers in Biomedical Engineering. Recurrent topics in Arthur Prindle's work include Plant and Biological Electrophysiology Studies (10 papers), Photoreceptor and optogenetics research (7 papers) and Cancer Research and Treatments (6 papers). Arthur Prindle is often cited by papers focused on Plant and Biological Electrophysiology Studies (10 papers), Photoreceptor and optogenetics research (7 papers) and Cancer Research and Treatments (6 papers). Arthur Prindle collaborates with scholars based in United States, Spain and United Kingdom. Arthur Prindle's co-authors include Gürol M. Süel, Jeff Hasty, Jordi García‐Ojalvo, Jintao Liu, Tal Danino, Munehiro Asally, Lev S. Tsimring, Sangeeta N. Bhatia, Kaitlin Allen and Jangir Selimkhanov and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Arthur Prindle

24 papers receiving 2.8k citations

Hit Papers

Synchronized cycles of bacterial lysis for in vivo delivery 2015 2026 2018 2022 2016 2015 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arthur Prindle United States 18 1.6k 894 505 498 363 24 2.8k
Birgit E. Scharf United States 30 1.4k 0.9× 317 0.4× 154 0.3× 496 1.0× 739 2.0× 80 2.8k
Gürol M. Süel United States 25 3.1k 1.9× 513 0.6× 67 0.1× 1.1k 2.2× 405 1.1× 48 4.2k
Munehiro Asally United Kingdom 19 1.4k 0.9× 397 0.4× 59 0.1× 306 0.6× 231 0.6× 33 2.3k
Jeffrey J. Tabor United States 26 2.7k 1.7× 664 0.7× 201 0.4× 594 1.2× 240 0.7× 48 3.3k
Jeffrey C. Way United States 38 5.0k 3.1× 643 0.7× 311 0.6× 1.2k 2.4× 814 2.2× 84 6.4k
Lei Young Australia 8 6.7k 4.1× 741 0.8× 472 0.9× 2.0k 4.0× 1.0k 2.9× 13 8.4k
George H. Wadhams United Kingdom 23 2.2k 1.3× 441 0.5× 58 0.1× 1.1k 2.2× 538 1.5× 33 3.4k
Rainer Merkl Germany 33 2.7k 1.7× 263 0.3× 203 0.4× 475 1.0× 455 1.3× 105 3.8k
Ray-Yuan Chuang United States 16 6.9k 4.2× 709 0.8× 475 0.9× 2.1k 4.1× 951 2.6× 18 8.5k
Colin J. Ingham Netherlands 28 1.0k 0.6× 437 0.5× 126 0.2× 268 0.5× 434 1.2× 55 2.0k

Countries citing papers authored by Arthur Prindle

Since Specialization
Citations

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

Fields of papers citing papers by Arthur Prindle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arthur Prindle. 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 Arthur Prindle. The network helps show where Arthur Prindle may publish in the future.

Co-authorship network of co-authors of Arthur Prindle

This figure shows the co-authorship network connecting the top 25 collaborators of Arthur Prindle. A scholar is included among the top collaborators of Arthur Prindle 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 Arthur Prindle. Arthur Prindle 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.
Xia, Jonathan Y., Chelsea Hepler, Peter Tran, et al.. (2023). Engineered calprotectin-sensing probiotics for IBD surveillance in humans. Proceedings of the National Academy of Sciences. 120(32). e2221121120–e2221121120. 25 indexed citations
2.
Tran, Peter, et al.. (2022). Toward manipulating serotonin signaling via the microbiota–gut–brain axis. Current Opinion in Biotechnology. 78. 102826–102826. 27 indexed citations
3.
Prindle, Arthur, et al.. (2021). A Two-Dimensional Model of Potassium Signaling and Oscillatory Growth in a Biofilm. Bulletin of Mathematical Biology. 83(5). 60–60. 3 indexed citations
4.
Quillin, Sarah J., Peter Tran, & Arthur Prindle. (2021). Potential Roles for Gamma-Aminobutyric Acid Signaling in Bacterial Communities. PubMed. 3(2). 120–125. 29 indexed citations
5.
Boyd, Margrethe, et al.. (2021). Vesicle-Based Sensors for Extracellular Potassium Detection. Cellular and Molecular Bioengineering. 14(5). 459–469. 9 indexed citations
6.
Bialecka-Fornal, Maja, Joseph Larkin, Arthur Prindle, et al.. (2020). Encoding Membrane-Potential-Based Memory within a Microbial Community. Cell Systems. 10(5). 417–423.e3. 86 indexed citations
7.
Bialecka-Fornal, Maja, Joseph Larkin, Arthur Prindle, et al.. (2020). Encoding Spatial Memory within a Bacterial Biofilm Community. Biophysical Journal. 118(3). 610a–610a. 2 indexed citations
8.
Meloni, Gabriel N., Peter Tran, Christian Zerfaß, et al.. (2020). Bioelectrical understanding and engineering of cell biology. Journal of The Royal Society Interface. 17(166). 20200013–20200013. 56 indexed citations
9.
Martinez-Corral, Rosa, Jintao Liu, Arthur Prindle, Gürol M. Süel, & Jordi García‐Ojalvo. (2019). Metabolic basis of brain-like electrical signalling in bacterial communities. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1774). 20180382–20180382. 54 indexed citations
10.
Prindle, Arthur, Jintao Liu, Munehiro Asally, Jordi García‐Ojalvo, & Gürol M. Süel. (2018). A Novel Bacterial Cell to Cell Communication Mechanism. Biophysical Journal. 114(3). 335a–335a. 4 indexed citations
11.
Larkin, Joseph, Arthur Prindle, Jintao Liu, et al.. (2018). Signal Percolation within a Bacterial Community. Cell Systems. 7(2). 137–145.e3. 77 indexed citations
12.
Prindle, Arthur, et al.. (2017). SnapShot: Electrochemical Communication in Biofilms. Cell. 170(1). 214–214.e1. 44 indexed citations
13.
Din, M. Omar, Tal Danino, Arthur Prindle, et al.. (2016). Synchronized cycles of bacterial lysis for in vivo delivery. Nature. 536(7614). 81–85. 548 indexed citations breakdown →
14.
Prindle, Arthur, et al.. (2015). Ion channels enable electrical communication in bacterial communities. Nature. 527(7576). 59–63. 541 indexed citations breakdown →
15.
Liu, Jintao, et al.. (2015). Metabolic co-dependence gives rise to collective oscillations within biofilms. Nature. 523(7562). 550–554. 322 indexed citations breakdown →
16.
Prindle, Arthur, Jangir Selimkhanov, Howard Li, et al.. (2014). Rapid and tunable post-translational coupling of genetic circuits. Nature. 508(7496). 387–391. 136 indexed citations
17.
Danino, Tal, Arthur Prindle, Jeff Hasty, & Sangeeta N. Bhatia. (2013). Measuring Growth and Gene Expression Dynamics of Tumor-Targeted <em>S. Typhimurium</em> Bacteria. Journal of Visualized Experiments. e50540–e50540. 19 indexed citations
18.
Danino, Tal, Arthur Prindle, Jeff Hasty, & Sangeeta N. Bhatia. (2013). Measuring Growth and Gene Expression Dynamics of Tumor-Targeted <em>S. Typhimurium</em> Bacteria. Journal of Visualized Experiments. 1 indexed citations
19.
Danino, Tal, Justin H. Lo, Arthur Prindle, Jeff Hasty, & Sangeeta N. Bhatia. (2012). In Vivo Gene Expression Dynamics of Tumor-Targeted Bacteria. ACS Synthetic Biology. 1(10). 465–470. 48 indexed citations
20.
Prindle, Arthur, et al.. (2011). A sensing array of radically coupled genetic ‘biopixels’. Nature. 481(7379). 39–44. 288 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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