Gürol M. Süel

6.3k total citations · 4 hit papers
48 papers, 4.2k citations indexed

About

Gürol M. Süel is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Gürol M. Süel has authored 48 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 14 papers in Plant Science and 12 papers in Genetics. Recurrent topics in Gürol M. Süel's work include Gene Regulatory Network Analysis (16 papers), Plant and Biological Electrophysiology Studies (14 papers) and Photoreceptor and optogenetics research (10 papers). Gürol M. Süel is often cited by papers focused on Gene Regulatory Network Analysis (16 papers), Plant and Biological Electrophysiology Studies (14 papers) and Photoreceptor and optogenetics research (10 papers). Gürol M. Süel collaborates with scholars based in United States, Spain and China. Gürol M. Süel's co-authors include Jordi García‐Ojalvo, Michael B. Elowitz, Arthur Prindle, Jintao Liu, Mark A. Wall, Steve W. Lockless, Rama Ranganathan, Munehiro Asally, Louisa M. Liberman and Tolga Çağatay and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Gürol M. Süel

47 papers receiving 4.1k citations

Hit Papers

Evolutionarily conserved networks of residues mediate all... 2002 2026 2010 2018 2002 2015 2006 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gürol M. Süel United States 25 3.1k 1.1k 513 495 464 48 4.2k
Tetsuya Yomo Japan 44 5.0k 1.6× 1.8k 1.7× 1.1k 2.2× 275 0.6× 487 1.0× 244 6.5k
Avigdor Eldar Israel 25 2.4k 0.8× 838 0.8× 244 0.5× 312 0.6× 225 0.5× 43 3.1k
George H. Wadhams United Kingdom 23 2.2k 0.7× 1.1k 1.0× 441 0.9× 485 1.0× 410 0.9× 33 3.4k
Chikara Furusawa Japan 40 4.1k 1.3× 1.0k 0.9× 1.0k 2.0× 267 0.5× 101 0.2× 162 5.2k
Matthias Heinemann Netherlands 45 5.0k 1.6× 1.3k 1.2× 1.1k 2.1× 248 0.5× 126 0.3× 102 6.5k
Yitzhak Pilpel Israel 49 6.7k 2.2× 1.3k 1.2× 243 0.5× 670 1.4× 705 1.5× 100 8.3k
Mark C. Leake United Kingdom 37 3.6k 1.1× 1.1k 1.1× 780 1.5× 167 0.3× 409 0.9× 128 5.3k
James N. Sturgis France 40 3.6k 1.2× 750 0.7× 218 0.4× 357 0.7× 1.0k 2.2× 102 4.7k
Farren J. Isaacs United States 38 7.2k 2.3× 2.2k 2.0× 721 1.4× 323 0.7× 99 0.2× 63 8.2k
Matthew R. Bennett United States 28 2.6k 0.8× 791 0.7× 692 1.3× 334 0.7× 152 0.3× 69 3.8k

Countries citing papers authored by Gürol M. Süel

Since Specialization
Citations

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

Fields of papers citing papers by Gürol M. Süel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gürol M. Süel. 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 Gürol M. Süel. The network helps show where Gürol M. Süel may publish in the future.

Co-authorship network of co-authors of Gürol M. Süel

This figure shows the co-authorship network connecting the top 25 collaborators of Gürol M. Süel. A scholar is included among the top collaborators of Gürol M. Süel 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 Gürol M. Süel. Gürol M. Süel 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.
Süel, Gürol M., et al.. (2025). Computational model of fractal interface formation in bacterial biofilms. Physical review. E. 112(6). 64408–64408.
2.
Comerci, Colin J., et al.. (2024). Bioelectronic tools for understanding the universal language of electrical signaling across species and kingdoms. Biosensors and Bioelectronics. 267. 116843–116843. 2 indexed citations
3.
Yue, Jiping, Albert C. Yang, Colin J. Comerci, et al.. (2024). Bioelectronic drug-free control of opportunistic pathogens through selective excitability. Device. 2(11). 100596–100596. 3 indexed citations
4.
Comerci, Colin J., Leticia Galera-Laporta, Edgar Gutierrez, et al.. (2022). Localized electrical stimulation triggers cell-type-specific proliferation in biofilms. Cell Systems. 13(6). 488–498.e4. 17 indexed citations
5.
Chiou, Jian-geng, et al.. (2022). A segmentation clock patterns cellular differentiation in a bacterial biofilm. Cell. 185(1). 145–157.e13. 39 indexed citations
6.
Galera-Laporta, Leticia, et al.. (2022). Electrochemical potential enables dormant spores to integrate environmental signals. Science. 378(6615). 43–49. 59 indexed citations
7.
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
8.
Larkin, Joseph, et al.. (2020). Spiral Wave Propagation in Communities with Spatially Correlated Heterogeneity. Biophysical Journal. 118(7). 1721–1732. 5 indexed citations
9.
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
10.
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
11.
Galera-Laporta, Leticia, Maja Bialecka-Fornal, Zhouxin Shen, et al.. (2019). Magnesium Flux Modulates Ribosomes to Increase Bacterial Survival. Cell. 177(2). 352–360.e13. 95 indexed citations
12.
Martinez-Corral, Rosa, Jintao Liu, Gürol M. Süel, & Jordi García‐Ojalvo. (2018). Bistable emergence of oscillations in growing Bacillus subtilis biofilms. Proceedings of the National Academy of Sciences. 115(36). E8333–E8340. 40 indexed citations
13.
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
14.
Mugler, Andrew, Mark Kittisopikul, Luke Hayden, et al.. (2016). Noise Expands the Response Range of the Bacillus subtilis Competence Circuit. PLoS Computational Biology. 12(3). e1004793–e1004793. 20 indexed citations
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.
Asally, Munehiro, Mark Kittisopikul, Pau Rué, et al.. (2012). Localized cell death focuses mechanical forces during 3D patterning in a biofilm. Proceedings of the National Academy of Sciences. 109(46). 18891–18896. 267 indexed citations
17.
Süel, Gürol M.. (2011). Use of Fluorescence Microscopy to Analyze Genetic Circuit Dynamics. Methods in enzymology on CD-ROM/Methods in enzymology. 497. 275–293. 10 indexed citations
18.
Wu, Zhuoru, Katherine Luby‐Phelps, Abhijit Bugde, et al.. (2009). Capacity for stochastic self-renewal and differentiation in mammalian spermatogonial stem cells. The Journal of Cell Biology. 187(4). 513–524. 23 indexed citations
19.
Süel, Gürol M., Rajan P. Kulkarni, Jonathan Dworkin, Jordi García‐Ojalvo, & Michael B. Elowitz. (2007). Tunability and Noise Dependence in Differentiation Dynamics. Science. 315(5819). 1716–1719. 356 indexed citations
20.
Süel, Gürol M., Jordi García‐Ojalvo, Louisa M. Liberman, & Michael B. Elowitz. (2006). An excitable gene regulatory circuit induces transient cellular differentiation. Nature. 440(7083). 545–550. 538 indexed citations breakdown →

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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