Michael G. Sadovsky

544 total citations
32 papers, 222 citations indexed

About

Michael G. Sadovsky is a scholar working on Molecular Biology, Ecology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael G. Sadovsky has authored 32 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Ecology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael G. Sadovsky's work include RNA and protein synthesis mechanisms (13 papers), Machine Learning in Bioinformatics (11 papers) and Fractal and DNA sequence analysis (9 papers). Michael G. Sadovsky is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), Machine Learning in Bioinformatics (11 papers) and Fractal and DNA sequence analysis (9 papers). Michael G. Sadovsky collaborates with scholars based in Russia, Germany and United States. Michael G. Sadovsky's co-authors include Alexander N. Gorban, Yuliya A. Putintseva, Konstantin V. Krutovsky, Olivier Keech, Dmitry A. Kuzmin, Yu. M. Konstantinov, Evgeniy Simonov, Вадим Шаров, N.S. Manukovsky and D. Yu. Sherbakov and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Michael G. Sadovsky

25 papers receiving 217 citations

Peers

Michael G. Sadovsky

EEBS

GENET

CVPR

Anastasiya Belyaeva United States

Nozomi Ytow Japan

Xinyi Shi China

Cen Wan United Kingdom

Philippe Gambette France

Maribel Hernández-Rosales Mexico

Yiannis Kourmpetis Netherlands

Wenwei Xiong China

Jiehu Chen China

M.-F. Sagot France

Anastasiya Belyaeva United States

Michael G. Sadovsky

211 ×1.4

30 ×0.7

6 ×0.2

EEBS

31 ×1.1

GENET

7 ×0.4

CVPR

Citations per year, relative to Michael G. Sadovsky Michael G. Sadovsky (= 1×) peers Anastasiya Belyaeva

Countries citing papers authored by Michael G. Sadovsky

Since Specialization

Citations

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

Fields of papers citing papers by Michael G. Sadovsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Sadovsky. 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 Michael G. Sadovsky. The network helps show where Michael G. Sadovsky may publish in the future.

Co-authorship network of co-authors of Michael G. Sadovsky

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

All Works

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20 of 20 papers shown

Sadovsky, Michael G., et al.. (2024). Clustering of bacteria by the triplet composition of 5S RNA. SHILAP Revista de lepidopterología. 59. 4014–4014.

Sadovsky, Michael G., et al.. (2024). Distribution of Values of GC-Content of the Fragments in the Spatial Structure of Mitochondrial, Chloroplast and Bacterial Genomes. Биофизика. 69(2). 246–256.

Sherbakov, D. Yu., et al.. (2022). Comparative analysis of alignment-free genome clustering and whole genome alignment-based phylogenomic relationship of coronaviruses. PLoS ONE. 17(3). e0264640–e0264640. 4 indexed citations

Похабов, Д. В., et al.. (2021). A New Approach to the Differential Diagnosis of Patients with Parkinson’s Disease and Essential Tremor. Neuroscience and Behavioral Physiology. 51(8). 1059–1065.

Абрамов, В. Г., et al.. (2020). Determination of Parameter Reference Values for 18F-DOPA PET Imaging of the Brain (Based on Using Data from Healthy Subjects). Doctor Ru. 19(9). 13–19. 1 indexed citations

Sadovsky, Michael G., et al.. (2020). Amazing symmetrical clustering in chloroplast genomes. BMC Bioinformatics. 21(S2). 83–83. 4 indexed citations

Putintseva, Yuliya A., Evgeniy Simonov, Вадим Шаров, et al.. (2020). Siberian larch (Larix sibirica Ledeb.) mitochondrial genome assembled using both short and long nucleotide sequence reads is currently the largest known mitogenome. BMC Genomics. 21(1). 654–654. 100 indexed citations

Sadovsky, Michael G., et al.. (2017). New Clusterization Method Based on Graph Connectivity Search. Journal of Siberian Federal University Mathematics & Physics. 10(4). 443–449.

Sadovsky, Michael G., et al.. (2016). Model of Prey–Predator Dynamics with Reflexive Spatial Behaviour of Species Based on Optimal Migration. Bulletin of Mathematical Biology. 78(4). 736–753. 3 indexed citations

10.

Sadovsky, Michael G., et al.. (2015). Seven-Cluster Structure of Larch Chloroplast Genome. SHILAP Revista de lepidopterología. 8(3). 268–277. 1 indexed citations

11.

Sadovsky, Michael G., et al.. (2015). Symmetry of Siberian Larch Transcriptome. SHILAP Revista de lepidopterología. 8(3). 278–286. 1 indexed citations

12.

Sadovsky, Michael G., et al.. (2008). Genes, information and sense: complexity and knowledge retrieval. Theory in Biosciences. 127(2). 69–78. 4 indexed citations

13.

Sadovsky, Michael G.. (2006). Information capacity of nucleotide sequences and Its applications. Bulletin of Mathematical Biology. 68(4). 785–806. 4 indexed citations

14.

Manukovsky, N.S., et al.. (2005). Material balance and diet in bioregenerative life support systems: Connection with coefficient of closure. Advances in Space Research. 35(9). 1563–1569. 15 indexed citations

15.

Sadovsky, Michael G., et al.. (2004). The informational approach to the structure—function relationship in biological macromolecules. Doklady Biochemistry and Biophysics. 399(1-6). 344–346. 1 indexed citations

16.

Sadovsky, Michael G.. (2003). The Method to Compare Nucleotide Sequences Based on the Minimum Entropy Principle. Bulletin of Mathematical Biology. 65(2). 309–322. 10 indexed citations

17.

Sadovsky, Michael G.. (2003). Comparison of Real Frequencies of Strings vs. the Expected Ones Reveals the Information Capacity of Macromoleculae. Journal of Biological Physics. 29(1). 23–38. 5 indexed citations

18.

Sadovsky, Michael G.. (2002). Comparison of Symbol Sequences: No Editing, No Alignment. Open Systems & Information Dynamics. 9(1). 19–36. 5 indexed citations

19.

Gorban, Alexander N., et al.. (2001). Information Content of the Frequency Dictionaries, Reconstruction, Transformation and Classification of Dictionaries and Genetic Texts. 1 indexed citations

20.

Gorban, Alexander N., et al.. (1998). . Open Systems & Information Dynamics. 5(3). 265–278. 18 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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