Andrei Kucharavy
Impact in
- Aging top 5%
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
Papers in
-
- Fungal and yeast genetics research 2
-
- Metaheuristic Optimization Algorithms Research 2
- Intelligent Tutoring Systems and Adaptive Learning 1
- Co-authors
- Rong Li (5 shared papers)Ying Zhang (1 shared paper)Chuankai Zhou (1 shared paper)Laurence Florens (1 shared paper)Zhihui Wen (1 shared paper)Linhao Ruan (1 shared paper)Boris Rubinstein (3 shared papers)Inês Mendes Pinto (1 shared paper)
- Journals
- Nature (2 papers)Nucleic Acids Research (1 paper)Molecular Biology of the Cell (1 paper)Developmental Cell (1 paper)Cell (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Andrei Kucharavy
9 papers receiving 667 citations
Andrei Kucharavy's Hit Papers
Peers
Comparison fields: 5 of 90
- Aging 38
- Cell Biology 276
- Molecular Biology 444
- Clinical Biochemistry 25
- Physiology 85
Countries citing papers authored by Andrei Kucharavy
This map shows the geographic impact of Andrei Kucharavy'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 Andrei Kucharavy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrei Kucharavy more than expected).
Fields of papers citing papers by Andrei Kucharavy
This network shows the impact of papers produced by Andrei Kucharavy. 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 Andrei Kucharavy. The network helps show where Andrei Kucharavy may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrei Kucharavy, 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 | Cytosolic proteostasis through importing of misfolded proteins into mitochondria Hit paper breakdown → | 2017 | 359 |
| 2 | 2012 | 131 | |
| 3 | 2015 | 98 | |
| 4 | 2019 | 66 | |
| 5 | 2018 | 7 | |
| 6 | 2013 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2021 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2025 | 0 |
About Andrei Kucharavy
Andrei Kucharavy is a scholar working on Molecular Biology, Artificial Intelligence, Cell Biology, Genetics and Plant Science, having authored 10 papers that have together received 668 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Fungal and yeast genetics research (2 papers), Evolution and Genetic Dynamics (2 papers), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Cancer Genomics and Diagnostics (1 paper), Higher Education Learning Practices (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Aging (38 citations), Cell Biology (276 citations), Molecular Biology (444 citations), Clinical Biochemistry (25 citations) and Physiology (85 citations). Andrei Kucharavy has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Rong Li, Ying Zhang, Chuankai Zhou, Laurence Florens, Zhihui Wen, Linhao Ruan, Boris Rubinstein, Inês Mendes Pinto, Jay R. Unruh and William D. Bradford. Their work appears in journals such as Nature, Nucleic Acids Research, Molecular Biology of the Cell, Developmental Cell and Cell.
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.