Brian D. Zoltowski

3.0k total citations
42 papers, 2.3k citations indexed

About

Brian D. Zoltowski is a scholar working on Plant Science, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Brian D. Zoltowski has authored 42 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 24 papers in Molecular Biology and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Brian D. Zoltowski's work include Light effects on plants (25 papers), Photosynthetic Processes and Mechanisms (16 papers) and Photoreceptor and optogenetics research (15 papers). Brian D. Zoltowski is often cited by papers focused on Light effects on plants (25 papers), Photosynthetic Processes and Mechanisms (16 papers) and Photoreceptor and optogenetics research (15 papers). Brian D. Zoltowski collaborates with scholars based in United States, France and South Korea. Brian D. Zoltowski's co-authors include Brian R. Crane, Kevin H. Gardner, Ashutosh Pudasaini, Brian J. Vaccaro, Joanne Widom, Carsten Schwerdtfeger, A.M. Bilwes, Jennifer Loros, Jay Dunlap and Takato Imaizumi and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Brian D. Zoltowski

40 papers receiving 2.2k citations

Peers

Brian D. Zoltowski

CMN

EAS

Ya‐Ting Kao United States

Masato Nakajima Japan

David von Stetten Germany

Michael Socolich United States

Leonid S. Brown Canada

Jian Payandeh United States

Rouslan G. Efremov Belgium

Jörg Standfuss Switzerland

B. Hess Germany

Maarten P. Heyn Germany

Ya‐Ting Kao United States

Brian D. Zoltowski

642 ×0.5

1.3k ×1.0

713 ×0.6

CMN

497 ×1.7

147 ×0.6

EAS

Citations per year, relative to Brian D. Zoltowski Brian D. Zoltowski (= 1×) peers Ya‐Ting Kao

Countries citing papers authored by Brian D. Zoltowski

Since Specialization

Citations

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

Fields of papers citing papers by Brian D. Zoltowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian D. Zoltowski. 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 Brian D. Zoltowski. The network helps show where Brian D. Zoltowski may publish in the future.

Co-authorship network of co-authors of Brian D. Zoltowski

This figure shows the co-authorship network connecting the top 25 collaborators of Brian D. Zoltowski. A scholar is included among the top collaborators of Brian D. Zoltowski 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 Brian D. Zoltowski. Brian D. Zoltowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chen, Xiong, et al.. (2025). Structural Plasticity and Functional Dynamics of Pigeon Cryptochrome 4 as Avian Magnetoreceptor. Journal of Molecular Biology. 437(20). 169233–169233.

Yang, Hong‐Quan, et al.. (2024). Disrupting FKF1 homodimerization increases FT transcript levels in the evening by enhancing CO stabilization. Plant Cell Reports. 43(5). 121–121. 7 indexed citations

Trozzi, Francesco, Zilin Song, Niraj Verma, et al.. (2022). Allosteric control of ACE2 peptidase domain dynamics. Organic & Biomolecular Chemistry. 20(17). 3605–3618. 3 indexed citations

Verma, Niraj, et al.. (2021). Predicting Potential SARS-COV-2 Drugs—In Depth Drug Database Screening Using Deep Neural Network Framework SSnet, Classical Virtual Screening and Docking. International Journal of Molecular Sciences. 22(4). 1573–1573. 31 indexed citations

Verma, Niraj, Francesco Trozzi, Peng Tao, et al.. (2021). SSnet: A Deep Learning Approach for Protein-Ligand Interaction Prediction. International Journal of Molecular Sciences. 22(3). 1392–1392. 30 indexed citations

Trozzi, Francesco, Feng Wang, Gennady M. Verkhivker, Brian D. Zoltowski, & Peng Tao. (2021). Dimeric allostery mechanism of the plant circadian clock photoreceptor ZEITLUPE. PLoS Computational Biology. 17(7). e1009168–e1009168. 2 indexed citations

Tian, Hao, Francesco Trozzi, Brian D. Zoltowski, & Peng Tao. (2020). Deciphering the Allosteric Process of the Phaeodactylum tricornutum Aureochrome 1a LOV Domain. The Journal of Physical Chemistry B. 124(41). 8960–8972. 20 indexed citations

Zhou, Hong-Yu, Dong Zheng, Gennady M. Verkhivker, Brian D. Zoltowski, & Peng Tao. (2019). Allosteric mechanism of the circadian protein Vivid resolved through Markov state model and machine learning analysis. PLoS Computational Biology. 15(2). e1006801–e1006801. 17 indexed citations

Zhou, Hong-Yu, Brian D. Zoltowski, & Peng Tao. (2017). Revealing Hidden Conformational Space of LOV Protein VIVID Through Rigid Residue Scan Simulations. Scientific Reports. 7(1). 46626–46626. 8 indexed citations

10.

Bogomolni, Roberto A., et al.. (2016). A Native Threonine Coordinates Ordered Water to Tune Light-Oxygen-Voltage (LOV) Domain Photocycle Kinetics and Osmotic Stress Signaling in Trichoderma reesei ENVOY. Journal of Biological Chemistry. 291(28). 14839–14850. 18 indexed citations

11.

Taslimi, Amir, Brian D. Zoltowski, Jose G. Miranda, et al.. (2016). Optimized second-generation CRY2–CIB dimerizers and photoactivatable Cre recombinase. Nature Chemical Biology. 12(6). 425–430. 189 indexed citations

12.

Pudasaini, Ashutosh, et al.. (2015). LOV-based optogenetic devices: light-driven modules to impart photoregulated control of cellular signaling. Frontiers in Molecular Biosciences. 2. 18–18. 157 indexed citations

13.

Pudasaini, Ashutosh, et al.. (2015). Short LOV Proteins in Methylocystis Reveal Insight into LOV Domain Photocycle Mechanisms. PLoS ONE. 10(5). e0124874–e0124874. 12 indexed citations

14.

Zoltowski, Brian D. & Takato Imaizumi. (2014). Structure and Function of the ZTL/FKF1/LKP2 Group Proteins in Arabidopsis. The Enzymes. 35. 213–239. 65 indexed citations

15.

Dattenböck, Christoph, et al.. (2014). Structural Biochemistry of a Fungal LOV Domain Photoreceptor Reveals an Evolutionarily Conserved Pathway Integrating Light and Oxidative Stress. Structure. 23(1). 116–125. 39 indexed citations

16.

Zoltowski, Brian D., Anand T. Vaidya, Deniz Top, et al.. (2011). Structure of full-length Drosophila cryptochrome. Nature. 480(7377). 396–399. 134 indexed citations

17.

Lamb, Jessica S., et al.. (2009). Dimer formation in the blue light sensing protein Vivid. Biophysical Journal. 96(3). 524a–524a. 1 indexed citations

18.

Zoltowski, Brian D., Brian J. Vaccaro, & Brian R. Crane. (2009). Mechanism-based tuning of a LOV domain photoreceptor. Nature Chemical Biology. 5(11). 827–834. 222 indexed citations

19.

Lamb, Jessica S., Brian D. Zoltowski, Suzette A. Pabit, et al.. (2009). Illuminating Solution Responses of a LOV Domain Protein with Photocoupled Small-Angle X-Ray Scattering. Journal of Molecular Biology. 393(4). 909–919. 43 indexed citations

20.

Zoltowski, Brian D.. (1970). Vibrodiagnosis experiments of machines. WIT transactions on engineering sciences. 16.

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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