Navid Bavi

1.7k total citations
38 papers, 1.1k citations indexed

About

Navid Bavi is a scholar working on Molecular Biology, Physiology and Biomedical Engineering. According to data from OpenAlex, Navid Bavi has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 26 papers in Physiology and 8 papers in Biomedical Engineering. Recurrent topics in Navid Bavi's work include Erythrocyte Function and Pathophysiology (26 papers), Lipid Membrane Structure and Behavior (23 papers) and Ion channel regulation and function (17 papers). Navid Bavi is often cited by papers focused on Erythrocyte Function and Pathophysiology (26 papers), Lipid Membrane Structure and Behavior (23 papers) and Ion channel regulation and function (17 papers). Navid Bavi collaborates with scholars based in Australia, United States and Iran. Navid Bavi's co-authors include Boris Martinac, Charles D. Cox, Omid Bavi, Eduardo Perozo, Yoshitaka Nakayama, Bharat Reddy, Paul R. Rohde, Mohammad Shishesaz, Allen Lu and Yeonwoo Park and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Navid Bavi

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Navid Bavi Australia 20 747 521 165 154 127 38 1.1k
Wade J. Sigurdson United States 18 955 1.3× 341 0.7× 174 1.1× 120 0.8× 56 0.4× 27 1.5k
Vladimir Tsuprun United States 22 511 0.7× 85 0.2× 72 0.4× 74 0.5× 96 0.8× 65 1.3k
Yosuke Senju Japan 16 542 0.7× 175 0.3× 674 4.1× 59 0.4× 18 0.1× 26 1.0k
Yizeng Li United States 18 279 0.4× 115 0.2× 342 2.1× 275 1.8× 27 0.2× 41 800
Tsuyoshi Hirashima Japan 17 352 0.5× 55 0.1× 358 2.2× 191 1.2× 71 0.6× 61 1.1k
Lynne M. Coluccio United States 25 1.1k 1.5× 77 0.1× 910 5.5× 114 0.7× 75 0.6× 48 2.0k
Zoltan Metlagel United States 10 630 0.8× 86 0.2× 489 3.0× 44 0.3× 22 0.2× 14 1.3k
Jonathan R. Monck United States 20 1.2k 1.7× 211 0.4× 703 4.3× 89 0.6× 30 0.2× 25 1.6k
Jennifer Block Germany 9 825 1.1× 89 0.2× 692 4.2× 102 0.7× 56 0.4× 17 1.4k
Hartmann Harz Germany 24 1.4k 1.9× 67 0.1× 235 1.4× 197 1.3× 48 0.4× 43 2.2k

Countries citing papers authored by Navid Bavi

Since Specialization
Citations

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

Fields of papers citing papers by Navid Bavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Navid Bavi

This figure shows the co-authorship network connecting the top 25 collaborators of Navid Bavi. A scholar is included among the top collaborators of Navid Bavi 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 Navid Bavi. Navid Bavi 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.
Cheng, Delfine, Navid Bavi, Genevieve A. Secker, et al.. (2023). MyoD-family inhibitor proteins act as auxiliary subunits of Piezo channels. Science. 381(6659). 799–804. 52 indexed citations
2.
3.
Clark, Michael David, et al.. (2022). An optimized protocol for on-column nanodisc formation. Biophysical Journal. 121(3). 464a–465a. 1 indexed citations
4.
Bavi, Omid, Zijing Zhou, Navid Bavi, et al.. (2022). Asymmetric effects of amphipathic molecules on mechanosensitive channels. Scientific Reports. 12(1). 9976–9976. 7 indexed citations
5.
Bavi, Navid, Michael David Clark, Gustavo F. Contreras, et al.. (2021). The conformational cycle of prestin underlies outer-hair cell electromotility. Nature. 600(7889). 553–558. 54 indexed citations
6.
Xue, Feng, Charles D. Cox, Navid Bavi, et al.. (2020). Membrane stiffness is one of the key determinants of E. coli MscS channel mechanosensitivity. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1862(5). 183203–183203. 22 indexed citations
7.
Cox, Charles D., Navid Bavi, & Boris Martinac. (2019). Biophysical Principles of Ion-Channel-Mediated Mechanosensory Transduction. Cell Reports. 29(1). 1–12. 158 indexed citations
8.
Nakayama, Yoshitaka, et al.. (2019). Evolutionary Specialization of Corynebacterium glutamicum MscCG, an Mscs-Like Mechanosensitive Channel, in Glutamate Export. Biophysical Journal. 116(3). 378a–378a. 1 indexed citations
9.
Bavi, Navid, et al.. (2018). A Computational Study Towards Engineering an MscL Nanovalve. Biophysical Journal. 114(3). 112a–112a. 1 indexed citations
10.
Berger, Joachim, Silke Berger, Mei Li, et al.. (2018). In Vivo Function of the Chaperonin TRiC in α-Actin Folding during Sarcomere Assembly. Cell Reports. 22(2). 313–322. 26 indexed citations
11.
Cox, Charles D., Navid Bavi, & Boris Martinac. (2018). Cytoskeleton-Associated Proteins Modulate the Tension Sensitivity of Piezo1. Biophysical Journal. 114(3). 111a–111a. 8 indexed citations
12.
Nakayama, Yoshitaka, et al.. (2018). Evolutionary specialization of MscCG, an MscS-like mechanosensitive channel, in amino acid transport in Corynebacterium glutamicum. Scientific Reports. 8(1). 12893–12893. 24 indexed citations
13.
Martinac, Boris, Navid Bavi, Pietro Ridone, et al.. (2018). Tuning ion channel mechanosensitivity by asymmetry of the transbilayer pressure profile. Biophysical Reviews. 10(5). 1377–1384. 34 indexed citations
14.
Bavi, Navid, D. Marien Cortés, Omid Bavi, et al.. (2017). Structural Dynamics of the MscL C-terminal Domain. Scientific Reports. 7(1). 17229–17229. 17 indexed citations
15.
Bavi, Navid, et al.. (2017). Pulling MscL open via N-terminal and TM1 helices: A computational study towards engineering an MscL nanovalve. PLoS ONE. 12(8). e0183822–e0183822. 23 indexed citations
16.
Bavi, Navid, Charles D. Cox, Omid Bavi, & Boris Martinac. (2017). Perturbation of Bilayer Surface Tension Differentially Modulates Mechanosensitive Ion Channels. Biophysical Journal. 112(3). 416a–416a. 5 indexed citations
17.
Bavi, Navid, D. Marien Cortés, Charles D. Cox, et al.. (2016). The role of MscL amphipathic N terminus indicates a blueprint for bilayer-mediated gating of mechanosensitive channels. Nature Communications. 7(1). 11984–11984. 79 indexed citations
18.
Battle, Andrew R., et al.. (2015). Lipid–protein interactions: Lessons learned from stress. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1848(9). 1744–1756. 34 indexed citations
19.
Bavi, Navid, Takeshi Nomura, Qing‐Hua Qin, & Boris Martinac. (2014). Gating Mechanism of Mechanosensitive Ion Channels Studied by Continuum Mechanics. Biophysical Journal. 106(2). 554a–555a. 2 indexed citations
20.
Shishesaz, Mohammad & Navid Bavi. (2012). Shear stress distribution in adhesive layers of a double-lap joint with void or bond separation. Journal of Adhesion Science and Technology. 27(11). 1197–1225. 22 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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