Maxsim Gibiansky

1.4k total citations
8 papers, 1.0k citations indexed

About

Maxsim Gibiansky is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Maxsim Gibiansky has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Biomedical Engineering. Recurrent topics in Maxsim Gibiansky's work include Bacterial biofilms and quorum sensing (6 papers), Lipid Membrane Structure and Behavior (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Maxsim Gibiansky is often cited by papers focused on Bacterial biofilms and quorum sensing (6 papers), Lipid Membrane Structure and Behavior (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Maxsim Gibiansky collaborates with scholars based in United States, China and Germany. Maxsim Gibiansky's co-authors include Gerard C. L. Wong, Fan Jin, Jacinta C. Conrad, Margie A. Mathewson, Wiktor Stopka, Vernita Gordon, Joshua D. Shrout, Bernard Beckerman, Joe J. Harrison and Erik Luijten and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Maxsim Gibiansky

8 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxsim Gibiansky United States 8 669 264 157 155 146 8 1.0k
Lucia Vidakovic Germany 10 435 0.7× 103 0.4× 112 0.7× 155 1.0× 253 1.7× 11 733
Ricardo Guerrero-Ferreira United States 19 806 1.2× 68 0.3× 211 1.3× 158 1.0× 490 3.4× 37 1.8k
Courtney K. Ellison United States 11 683 1.0× 175 0.7× 308 2.0× 172 1.1× 245 1.7× 21 1.1k
Jaime de Anda United States 13 437 0.7× 67 0.3× 115 0.7× 60 0.4× 103 0.7× 26 622
Nobuyoshi Kobayashi Japan 20 376 0.6× 99 0.4× 138 0.9× 104 0.7× 82 0.6× 75 1.6k
Jodi L. Connell United States 10 428 0.6× 352 1.3× 102 0.6× 49 0.3× 122 0.8× 13 877
S. Murayama Japan 17 175 0.3× 26 0.1× 156 1.0× 197 1.3× 56 0.4× 80 1.1k
Oliver Scholz Germany 17 494 0.7× 175 0.7× 220 1.4× 22 0.1× 204 1.4× 48 1.0k
Bernard Beckerman United States 6 263 0.4× 56 0.2× 44 0.3× 44 0.3× 44 0.3× 7 430
Benoît‐Joseph Laventie Switzerland 13 397 0.6× 47 0.2× 111 0.7× 57 0.4× 63 0.4× 21 607

Countries citing papers authored by Maxsim Gibiansky

Since Specialization
Citations

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

Fields of papers citing papers by Maxsim Gibiansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxsim Gibiansky

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

All Works

8 of 8 papers shown
1.
Kianian, Sara, Irida Mance, Maxsim Gibiansky, et al.. (2021). Smartwatch inertial sensors continuously monitor real-world motor fluctuations in Parkinson’s disease. Science Translational Medicine. 13(579). 135 indexed citations
2.
Hu, Wei, Maxsim Gibiansky, Jing Wang, et al.. (2016). Interplay between type IV pili activity and exopolysaccharides secretion controls motility patterns in single cells of Myxococcus xanthus. Scientific Reports. 6(1). 17790–17790. 19 indexed citations
3.
Utada, Andrew S., Rachel R. Bennett, Jiunn C. N. Fong, et al.. (2014). Vibrio cholerae use pili and flagella synergistically to effect motility switching and conditional surface attachment. Nature Communications. 5(1). 4913–4913. 134 indexed citations
4.
Zhao, Kun, Boo Shan Tseng, Bernard Beckerman, et al.. (2013). Psl trails guide exploration and microcolony formation in Pseudomonas aeruginosa biofilms. Nature. 497(7449). 388–391. 281 indexed citations
5.
Gibiansky, Maxsim, Wei Hu, Karin A. Dahmen, Wenyuan Shi, & Gerard C. L. Wong. (2013). Earthquake-like dynamics in Myxococcus xanthus social motility. Proceedings of the National Academy of Sciences. 110(6). 2330–2335. 28 indexed citations
6.
Conrad, Jacinta C., Maxsim Gibiansky, Fan Jin, et al.. (2011). Flagella and Pili-Mediated Near-Surface Single-Cell Motility Mechanisms in P. aeruginosa. Biophysical Journal. 100(7). 1608–1616. 186 indexed citations
7.
Jin, Fan, Jacinta C. Conrad, Maxsim Gibiansky, & Gerard C. L. Wong. (2011). Bacteria use type-IV pili to slingshot on surfaces. Proceedings of the National Academy of Sciences. 108(31). 12617–12622. 102 indexed citations
8.
Gibiansky, Maxsim, Jacinta C. Conrad, Fan Jin, et al.. (2010). Bacteria Use Type IV Pili to Walk Upright and Detach from Surfaces. Science. 330(6001). 197–197. 151 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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