Ivan A. Kuznetsov

50 papers receiving 348 citations

Peers

Ivan A. Kuznetsov
Comparison fields: 5 of 87
  • Cellular and Molecular Neuroscience 104
  • Cell Biology 61
  • Critical Care and Intensive Care Medicine 16
  • Biophysics 15
  • Radiology, Nuclear Medicine and Imaging 53
Replace Francis L. Burton with:
Francis L. Burton United Kingdom
Mark A. Esrick United States
Alberto M. Hernández‐Pinto Spain
Pierre Parutto France
Ilaria Zamparo Italy
Sathya Srinivasan United States
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Claudio Roberto Simon United States
Kai Yao China
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Citations per year

Countries citing papers authored by Ivan A. Kuznetsov

Since Specialization
Citations

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

Fields of papers citing papers by Ivan A. Kuznetsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan A. Kuznetsov. 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 A. Kuznetsov. The network helps show where Ivan A. Kuznetsov may publish in the future.

Co-authors

The 25 scholars most cited alongside Ivan A. Kuznetsov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ivan A. Kuznetsov Line = papers co-authored together Ivan A. Kuznetsov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201133
2 201627
3 202125
4 202124
5 202219
6 201818
7 201417
8 201616
9 202016
10 201811
11 202211
12 201511
13 201411
14 20229
15 20248
16 20178
17 20136
18 20135
19 20135
20 20175

About Ivan A. Kuznetsov

Ivan A. Kuznetsov is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology and Molecular Biology, having authored 59 papers that have together received 362 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (9 papers), Lipid Membrane Structure and Behavior (7 papers), Nuclear reactor physics and engineering (7 papers), Cellular transport and secretion (7 papers), Mitochondrial Function and Pathology (6 papers), Alzheimer's disease research and treatments (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (104 citations), Cell Biology (61 citations), Critical Care and Intensive Care Medicine (16 citations), Biophysics (15 citations) and Radiology, Nuclear Medicine and Imaging (53 citations). Ivan A. Kuznetsov has collaborated with scholars based in United States, Russia and Japan. Frequent co-authors include Andrey V. Kuznetsov, Brian Y. Chow, Erin E. Berlew, Lukasz J. Bugaj, Keisuke Yamada, Alexei V. Saveliev, Thomas Campbell Arnold, Wilson Merchán-Merchán, Giuliano Scarcelli and Seok Hyun Yun. Their work appears in journals such as Computer Methods in Biomechanics & Biomedical Engineering, Mathematical Biosciences, International Journal for Numerical Methods in Biomedical Engineering, Journal of Biomechanical Engineering and Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences.

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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