Ivan Kuzmenko
Impact in
- Microbiology top 1%
- Antimicrobial Peptides and Activities
- Filtration and Separation top 2%
Papers in
- Biomaterials 18
- Supramolecular Self-Assembly in Materials 7
- Co-authors
- Leslie LeiserowitzMeir LahavDavid GidalevitzT. GögJ. Als‐NielsenKristian KjærIsabelle WeissbuchB. M. Ocko
- 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 (4 papers)
- Partner nations
- United StatesIsraelDenmark
In The Last Decade
Ivan Kuzmenko
124 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 136
- Microbiology 329
- Filtration and Separation 91
- Electrochemistry 267
- Catalysis 288
- Biomaterials 397
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 25 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 39 | |
| 10 | 2021 | 22 | |
| 11 | 2020 | 16 | |
| 12 | 2020 | 24 | |
| 13 | 2020 | 7 | |
| 14 | 2019 | 39 | |
| 15 | 2018 | 26 | |
| 16 | 2016 | 26 | |
| 17 | 2013 | 5 | |
| 18 | Formation and Collapse of Single-Monomer-Thick Monolayers of Poly(n-Butyl Acrylate) at the Air-Water Interface | 2010 | 1 |
| 19 | 2004 | 17 | |
| 20 | 2001 | 80 |
About Ivan Kuzmenko
Ivan Kuzmenko is a scholar working on Filtration and Separation, Biomaterials, Physical and Theoretical Chemistry, Electrochemistry and Atomic and Molecular Physics, and Optics, having authored 130 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), Surfactants and Colloidal Systems (11 papers), Electrostatics and Colloid Interactions (10 papers), Surface Chemistry and Catalysis (10 papers), Hydrocarbon exploration and reservoir analysis (7 papers), Supramolecular Self-Assembly in Materials (7 papers) and Antimicrobial Peptides and Activities (6 papers). The work is most often cited by research in Microbiology (329 citations), Filtration and Separation (91 citations), Electrochemistry (267 citations), Catalysis (288 citations) and Biomaterials (397 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, Moshe Deutsch and Ján Ilavský. 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.