Konstantin Kozlov

1.8k total citations
59 papers, 1.3k citations indexed

About

Konstantin Kozlov is a scholar working on Molecular Biology, Plant Science and Biophysics. According to data from OpenAlex, Konstantin Kozlov has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 17 papers in Plant Science and 11 papers in Biophysics. Recurrent topics in Konstantin Kozlov's work include Cell Image Analysis Techniques (11 papers), Genomics and Chromatin Dynamics (11 papers) and Genetics and Plant Breeding (8 papers). Konstantin Kozlov is often cited by papers focused on Cell Image Analysis Techniques (11 papers), Genomics and Chromatin Dynamics (11 papers) and Genetics and Plant Breeding (8 papers). Konstantin Kozlov collaborates with scholars based in Russia, United States and Taiwan. Konstantin Kozlov's co-authors include John Reinitz, Ekaterina Myasnikova, Svetlana Surkova, Carlos E. Vanario‐Alonso, David Kosman, Maria Samsonova, Johannes Jaeger, David H. Sharp, Manu Manu and Maria Samsonova and has published in prestigious journals such as Nature, Bioinformatics and PLoS ONE.

In The Last Decade

Konstantin Kozlov

57 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Konstantin Kozlov Russia 14 1.0k 254 237 122 106 59 1.3k
Ekaterina Myasnikova Russia 15 1.2k 1.2× 250 1.0× 212 0.9× 131 1.1× 78 0.7× 49 1.4k
Maria Samsonova Russia 16 1.3k 1.2× 263 1.0× 205 0.9× 139 1.1× 68 0.6× 47 1.5k
Svetlana Surkova Russia 12 1.2k 1.2× 300 1.2× 229 1.0× 159 1.3× 58 0.5× 31 1.5k
Carlos E. Vanario‐Alonso United States 11 1.3k 1.3× 299 1.2× 222 0.9× 163 1.3× 59 0.6× 17 1.5k
Alexander V. Spirov Russia 13 746 0.7× 156 0.6× 120 0.5× 135 1.1× 73 0.7× 64 909
Hilde Janssens Russia 18 1.4k 1.4× 374 1.5× 244 1.0× 171 1.4× 51 0.5× 24 1.9k
David Kosman United States 12 1.3k 1.3× 276 1.1× 247 1.0× 187 1.5× 49 0.5× 14 1.5k
Richard Weiszmann United States 10 1.3k 1.2× 205 0.8× 215 0.9× 170 1.4× 52 0.5× 12 1.6k
Oren Shoval Israel 7 745 0.7× 253 1.0× 85 0.4× 66 0.5× 27 0.3× 8 1.1k
Manu Manu United States 8 720 0.7× 159 0.6× 123 0.5× 113 0.9× 31 0.3× 28 899

Countries citing papers authored by Konstantin Kozlov

Since Specialization
Citations

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

Fields of papers citing papers by Konstantin Kozlov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Konstantin Kozlov. 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 Konstantin Kozlov. The network helps show where Konstantin Kozlov may publish in the future.

Co-authorship network of co-authors of Konstantin Kozlov

This figure shows the co-authorship network connecting the top 25 collaborators of Konstantin Kozlov. A scholar is included among the top collaborators of Konstantin Kozlov 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 Konstantin Kozlov. Konstantin Kozlov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gursky, Vitaly V., et al.. (2024). Human Pluripotent Stem Cell Colony Migration Is Related to Culture Environment and Morphological Phenotype. Life. 14(11). 1402–1402. 1 indexed citations
2.
Самсонова, М. В., et al.. (2024). Modeling Chickpea Productivity with Artificial Image Objects and Convolutional Neural Network. Plants. 13(17). 2444–2444. 1 indexed citations
3.
Gursky, Vitaly V., et al.. (2024). Image Processing Application for Pluripotent Stem Cell Colony Migration Quantification. Mathematics. 12(22). 3584–3584. 1 indexed citations
4.
Akberdin, Ilya R., et al.. (2023). Impact of Negative Feedbacks on De Novo Pyrimidines Biosynthesis in Escherichia coli. International Journal of Molecular Sciences. 24(5). 4806–4806. 6 indexed citations
5.
Данилов, Н. А., et al.. (2023). Cartesian Genetic Programming for Image Analysis of the Developing Drosophila Eye. BIOPHYSICS. 68(3). 462–467. 1 indexed citations
6.
Lee, Cheng‐Ruei, Roland Schafleitner, Eric von Wettberg, et al.. (2022). Modeling of Flowering Time in Vigna radiata with Artificial Image Objects, Convolutional Neural Network and Random Forest. Plants. 11(23). 3327–3327. 3 indexed citations
7.
Kozlov, Konstantin, et al.. (2022). Quality Control of Human Pluripotent Stem Cell Colonies by Computational Image Analysis Using Convolutional Neural Networks. International Journal of Molecular Sciences. 24(1). 140–140. 6 indexed citations
8.
Lee, Cheng‐Ruei, Chau‐Ti Ting, Roland Schafleitner, et al.. (2021). Modeling of Flowering Time in Vigna radiata with Approximate Bayesian Computation. Agronomy. 11(11). 2317–2317. 2 indexed citations
9.
Самсонова, М. В., et al.. (2021). Solution of Mixed-Integer Optimization Problems in Bioinformatics with Differential Evolution Method. Mathematics. 9(24). 3329–3329. 1 indexed citations
10.
Aydoğan, Abdulkadir, et al.. (2021). Simulation Model for Time to Flowering with Climatic and Genetic Inputs for Wild Chickpea. Agronomy. 11(7). 1389–1389. 3 indexed citations
11.
Signor, Sarah, et al.. (2019). Novel approach to quantitative spatial gene expression uncovers genetic stochasticity in the developing Drosophila eye. Evolution & Development. 21(3). 157–171. 5 indexed citations
12.
Kozlov, Konstantin, Maria Samsonova, & Sergey V. Nuzhdin. (2019). Regression Model for Time to Flowering of Chickpea Landraces. Russian Journal of Genetics. 55(8). 1046–1049.
13.
Surkova, Svetlana, et al.. (2019). Quantitative analysis reveals genotype- and domain- specific differences between mRNA and protein expression of segmentation genes in Drosophila. Developmental Biology. 448(1). 48–58. 11 indexed citations
14.
Kozlov, Konstantin, et al.. (2017). Quantitative analysis of the heterogeneous population of endocytic vesicles. Journal of Bioinformatics and Computational Biology. 15(2). 1750008–1750008. 3 indexed citations
15.
Schiffman, Joshua S., et al.. (2017). In silico evolution of the Drosophila gap gene regulatory sequence under elevated mutational pressure. BMC Evolutionary Biology. 17(S1). 5 indexed citations
16.
Kozlov, Konstantin, et al.. (2016). [Method of Entirely Parallel Differential Evolution for Model Adaptation in Systems Biology].. PubMed. 60(6). 1219–20. 1 indexed citations
17.
Kozlov, Konstantin, Peter Baumann, Jost Waldmann, & Maria Samsonova. (2013). TeraPro, a system for processing large biomedical images. Pattern Recognition and Image Analysis. 23(4). 488–497. 1 indexed citations
18.
Surkova, Svetlana, Ekaterina Myasnikova, Konstantin Kozlov, et al.. (2008). Methods for acquisition of quantitative data from confocal images of gene expression in situ. Cell and Tissue Biology. 2(2). 200–215. 17 indexed citations
19.
Pisarev, Ivan A., et al.. (2005). ImageServer, a Tool for On-line Processing and Analysis of Biological Images. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 2(1). 1–9. 1 indexed citations
20.
Myasnikova, Ekaterina, et al.. (2001). Registration of the expression patterns of Drosophila segmentation genes by two independent methods. Bioinformatics. 17(1). 3–12. 98 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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