Ivan Kuzmenko
Impact in
- Microbiology top 1%
- Antimicrobial Peptides and Activities
- Electrochemistry top 2%
- Electrochemical Analysis and Applications
Papers in
-
- Lipid Membrane Structure and Behavior 24
- Co-authors
- Leslie Leiserowitz (16 shared papers)Meir Lahav (15 shared papers)David Gidalevitz (12 shared papers)T. Gög (12 shared papers)J. Als‐Nielsen (11 shared papers)Kristian Kjær (11 shared papers)Isabelle Weissbuch (9 shared papers)B. M. Ocko (8 shared papers)
- Journals
- Langmuir (14 papers)Journal of the American Chemical Society (8 papers)Biophysical Journal (6 papers)The Journal of Physical Chemistry B (5 papers)Journal of Colloid and Interface Science (5 papers)
- Partner nations
- United StatesIsraelDenmark
In The Last Decade
Ivan Kuzmenko
124 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 136
- Microbiology 333
- Electrochemistry 268
- Filtration and Separation 90
- Catalysis 288
- Biomaterials 396
Countries citing papers authored by Ivan Kuzmenko
This map shows the geographic impact of Ivan Kuzmenko'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 Ivan Kuzmenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Kuzmenko more than expected).
Fields of papers citing papers by Ivan Kuzmenko
This network shows the impact of papers produced by Ivan Kuzmenko. 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 Ivan Kuzmenko. The network helps show where Ivan Kuzmenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Kuzmenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 313 | |
| 2 | 2005 | 246 | |
| 3 | 2001 | 245 | |
| 4 | 2018 | 153 | |
| 5 | 2005 | 146 | |
| 6 | 2000 | 92 | |
| 7 | 2001 | 80 | |
| 8 | 2010 | 78 | |
| 9 | 2014 | 67 | |
| 10 | 2014 | 66 | |
| 11 | 2004 | 60 | |
| 12 | 1998 | 59 | |
| 13 | 2018 | 53 | |
| 14 | 1998 | 53 | |
| 15 | 2016 | 50 | |
| 16 | 2000 | 48 | |
| 17 | 2021 | 47 | |
| 18 | 2022 | 45 | |
| 19 | 2013 | 45 | |
| 20 | 2009 | 44 |
About Ivan Kuzmenko
Ivan Kuzmenko is a scholar working on Materials Chemistry, Molecular Biology, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Biomaterials, having authored 132 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (24 papers), Spectroscopy and Quantum Chemical Studies (21 papers), Electrostatics and Colloid Interactions (10 papers), Surfactants and Colloidal Systems (10 papers), Surface Chemistry and Catalysis (10 papers), Hydrocarbon exploration and reservoir analysis (7 papers), Supramolecular Self-Assembly in Materials (7 papers) and Molecular Junctions and Nanostructures (6 papers). The work is most often cited by research in Microbiology (333 citations), Electrochemistry (268 citations), Filtration and Separation (90 citations), Catalysis (288 citations) and Biomaterials (396 citations). Ivan Kuzmenko has collaborated with scholars based in United States, Israel and Denmark. Frequent co-authors include Leslie Leiserowitz, Meir Lahav, David Gidalevitz, T. Gög, J. Als‐Nielsen, Kristian Kjær, Isabelle Weissbuch, B. M. Ocko, Ján Ilavský and Moshe Deutsch. Their work appears in journals such as Langmuir, Journal of the American Chemical Society, Biophysical Journal, The Journal of Physical Chemistry B and Journal of Colloid and Interface Science.
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.