Maxsim Gibiansky
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Molecular Medicine top 10%
Papers in
-
- Bacterial biofilms and quorum sensing 6
- Lipid Membrane Structure and Behavior 3
- Biochemical and Structural Characterization 2
- Diffusion and Search Dynamics 1
- Genetics 3
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Gerard C. L. Wong (7 shared papers)Fan Jin (4 shared papers)Jacinta C. Conrad (3 shared papers)Joshua D. Shrout (2 shared papers)Margie A. Mathewson (2 shared papers)Wiktor Stopka (2 shared papers)Vernita Gordon (2 shared papers)Bernard Beckerman (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Science Translational Medicine (1 paper)Nature (1 paper)Scientific Reports (1 paper)Biophysical Journal (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Maxsim Gibiansky
8 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 118
- Endocrinology 155
- Molecular Medicine 61
- Condensed Matter Physics 137
- Periodontics 54
- Microbiology 71
Countries citing papers authored by Maxsim Gibiansky
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
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-authors
The 25 scholars most cited alongside Maxsim Gibiansky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 281 | |
| 2 | 2011 | 186 | |
| 3 | 2010 | 151 | |
| 4 | 2021 | 135 | |
| 5 | 2014 | 134 | |
| 6 | 2011 | 102 | |
| 7 | 2013 | 28 | |
| 8 | 2016 | 19 |
About Maxsim Gibiansky
Maxsim Gibiansky is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Condensed Matter Physics and Neurology, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (6 papers), Lipid Membrane Structure and Behavior (3 papers), Bacterial Genetics and Biotechnology (3 papers), Micro and Nano Robotics (2 papers), Biochemical and Structural Characterization (2 papers), Microfluidic and Bio-sensing Technologies (1 paper), Slime Mold and Myxomycetes Research (1 paper) and Diffusion and Search Dynamics (1 paper). The work is most often cited by research in Endocrinology (155 citations), Molecular Medicine (61 citations), Condensed Matter Physics (137 citations), Periodontics (54 citations) and Microbiology (71 citations). Maxsim Gibiansky has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Gerard C. L. Wong, Fan Jin, Jacinta C. Conrad, Joshua D. Shrout, Margie A. Mathewson, Wiktor Stopka, Vernita Gordon, Bernard Beckerman, Joe J. Harrison and Erik Luijten. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science Translational Medicine, Nature, Scientific Reports and Biophysical Journal.
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.