Andrei Kucharavy

994 total citations · 1 hit paper
9 papers, 657 citations indexed

About

Andrei Kucharavy is a scholar working on Molecular Biology, Artificial Intelligence and Cell Biology. According to data from OpenAlex, Andrei Kucharavy has authored 9 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Cell Biology. Recurrent topics in Andrei Kucharavy's work include Metaheuristic Optimization Algorithms Research (2 papers), Evolution and Genetic Dynamics (2 papers) and Fungal and yeast genetics research (2 papers). Andrei Kucharavy is often cited by papers focused on Metaheuristic Optimization Algorithms Research (2 papers), Evolution and Genetic Dynamics (2 papers) and Fungal and yeast genetics research (2 papers). Andrei Kucharavy collaborates with scholars based in United States, Switzerland and France. Andrei Kucharavy's co-authors include Rong Li, Laurence Florens, Chuankai Zhou, Ying Zhang, Zhihui Wen, Linhao Ruan, Boris Rubinstein, Inês Mendes Pinto, Jay R. Unruh and William D. Bradford and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Andrei Kucharavy

9 papers receiving 656 citations

Hit Papers

Cytosolic proteostasis through importing of misfolded pro... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrei Kucharavy United States 5 448 279 85 68 62 9 657
Ilektra Kouranti France 9 849 1.9× 619 2.2× 96 1.1× 76 1.1× 46 0.7× 11 1.2k
Daniel Z. Bar Israel 12 475 1.1× 148 0.5× 40 0.5× 29 0.4× 48 0.8× 35 673
Hanspeter Niederstrasser United States 12 607 1.4× 519 1.9× 45 0.5× 102 1.5× 41 0.7× 19 928
Scott A. Houck United States 15 707 1.6× 287 1.0× 111 1.3× 130 1.9× 106 1.7× 21 1.3k
Guillaume A. Castillon United States 14 781 1.7× 477 1.7× 110 1.3× 93 1.4× 53 0.9× 19 1.1k
Kara L. Cerveny United States 12 867 1.9× 181 0.6× 45 0.5× 100 1.5× 36 0.6× 17 1.0k
Robert G. Abrisch United States 4 720 1.6× 150 0.5× 44 0.5× 73 1.1× 22 0.4× 4 819
David C. Gershlick United Kingdom 17 479 1.1× 458 1.6× 93 1.1× 81 1.2× 63 1.0× 26 789
Hong-Yu Ren United States 8 630 1.4× 382 1.4× 102 1.2× 112 1.6× 63 1.0× 8 891
Jesse T. Chao Canada 8 590 1.3× 306 1.1× 40 0.5× 61 0.9× 35 0.6× 19 732

Countries citing papers authored by Andrei Kucharavy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Andrei Kucharavy

This figure shows the co-authorship network connecting the top 25 collaborators of Andrei Kucharavy. A scholar is included among the top collaborators of Andrei Kucharavy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrei Kucharavy. Andrei Kucharavy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Kucharavy, Andrei, Rachid Guerraoui, & Ljiljana Dolamic. (2023). Evolutionary Algorithms in the Light of SGD: Limit Equivalence, Minima Flatness, and Transfer Learning. ArODES (HES-SO (https://www.hes-so.ch/)). 1 indexed citations
2.
Kucharavy, Andrei, et al.. (2023). Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search. ArODES (HES-SO (https://www.hes-so.ch/)). 295–298. 1 indexed citations
3.
Kucharavy, Andrei, et al.. (2021). Can the Transformer Be Used as a Drop-in Replacement for RNNs in Text-Generating GANs?. 173–181. 1 indexed citations
4.
Tsai, Hung-Ji, Mohammad Ikbal Choudhury, Andrei Kucharavy, et al.. (2019). Hypo-osmotic-like stress underlies general cellular defects of aneuploidy. Nature. 570(7759). 117–121. 64 indexed citations
5.
Kucharavy, Andrei, Boris Rubinstein, Jin Zhu, & Rong Li. (2018). Robustness and evolvability of heterogeneous cell populations. Molecular Biology of the Cell. 29(11). 1400–1409. 7 indexed citations
6.
Ruan, Linhao, Chuankai Zhou, Andrei Kucharavy, et al.. (2017). Cytosolic proteostasis through importing of misfolded proteins into mitochondria. Nature. 543(7645). 443–446. 353 indexed citations breakdown →
7.
Chen, Guangbo, Andrei Kucharavy, Hung-Ji Tsai, et al.. (2015). Targeting the Adaptability of Heterogeneous Aneuploids. Cell. 160(4). 771–784. 96 indexed citations
8.
Tsoy, Olga, Marina Yurieva, Andrei Kucharavy, Mary O’Reilly, & Arcady Mushegian. (2013). Minimal genome encoding proteins with constrained amino acid repertoire. Nucleic Acids Research. 41(18). 8444–8451. 4 indexed citations
9.
Pinto, Inês Mendes, Boris Rubinstein, Andrei Kucharavy, Jay R. Unruh, & Rong Li. (2012). Actin Depolymerization Drives Actomyosin Ring Contraction during Budding Yeast Cytokinesis. Developmental Cell. 22(6). 1247–1260. 130 indexed citations

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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