Sergey N. Markin

1.0k total citations
26 papers, 518 citations indexed

About

Sergey N. Markin is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Sergey N. Markin has authored 26 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 11 papers in Cognitive Neuroscience and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Sergey N. Markin's work include Muscle activation and electromyography studies (11 papers), Zebrafish Biomedical Research Applications (10 papers) and Spinal Cord Injury Research (10 papers). Sergey N. Markin is often cited by papers focused on Muscle activation and electromyography studies (11 papers), Zebrafish Biomedical Research Applications (10 papers) and Spinal Cord Injury Research (10 papers). Sergey N. Markin collaborates with scholars based in United States, Canada and Russia. Sergey N. Markin's co-authors include Ilya A. Rybak, Boris I. Prilutsky, Natalia A. Shevtsova, Julian F. R. Paton, Michel Lemay, Ana P. Abdala, Jeffrey C. Smith, Ole Kiehn, Ronald M. Harris‐Warrick and Adolfo E. Talpalar and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Current Biology.

In The Last Decade

Sergey N. Markin

23 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergey N. Markin United States 12 251 199 128 104 91 26 518
Ksenija Jovanović Serbia 10 111 0.4× 182 0.9× 51 0.4× 186 1.8× 178 2.0× 29 496
Roberto Leiras Sweden 9 284 1.1× 113 0.6× 174 1.4× 247 2.4× 328 3.6× 13 844
P A Guertin Canada 12 188 0.7× 257 1.3× 86 0.7× 174 1.7× 222 2.4× 17 710
A. M. Degtyarenko United States 14 175 0.7× 201 1.0× 102 0.8× 134 1.3× 93 1.0× 34 533
Piotr Krutki Poland 17 268 1.1× 491 2.5× 122 1.0× 136 1.3× 300 3.3× 97 1.0k
W. E. Cameron United States 11 246 1.0× 158 0.8× 303 2.4× 28 0.3× 207 2.3× 17 718
Adele Fabiano Italy 9 292 1.2× 359 1.8× 20 0.2× 50 0.5× 31 0.3× 12 658
A. Sawczuk United States 7 265 1.1× 153 0.8× 77 0.6× 14 0.1× 250 2.7× 8 561
K. V. Baev Ukraine 13 230 0.9× 104 0.5× 30 0.2× 89 0.9× 165 1.8× 64 480
Ambrogio Di Paolo Italy 7 284 1.1× 362 1.8× 14 0.1× 48 0.5× 35 0.4× 13 641

Countries citing papers authored by Sergey N. Markin

Since Specialization
Citations

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

Fields of papers citing papers by Sergey N. Markin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergey N. Markin. 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 Sergey N. Markin. The network helps show where Sergey N. Markin may publish in the future.

Co-authorship network of co-authors of Sergey N. Markin

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey N. Markin. A scholar is included among the top collaborators of Sergey N. Markin 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 Sergey N. Markin. Sergey N. Markin 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.
2.
Rybak, Ilya A., Natalia A. Shevtsova, Sergey N. Markin, Boris I. Prilutsky, & Alain Frigon. (2024). Operation regimes of spinal circuits controlling locomotion and the role of supraspinal drives and sensory feedback. eLife. 13. 2 indexed citations
3.
Rybak, Ilya A., Natalia A. Shevtsova, Sergey N. Markin, Boris I. Prilutsky, & Alain Frigon. (2024). Operation regimes of spinal circuits controlling locomotion and the role of supraspinal drives and sensory feedback. eLife. 13. 3 indexed citations
4.
5.
Markin, Sergey N., Dylan Deska‐Gauthier, Rachel A. Banks, et al.. (2023). Distinct roles of spinal commissural interneurons in transmission of contralateral sensory information. Current Biology. 33(16). 3452–3464.e4. 10 indexed citations
6.
Aoi, Shinya, Soichiro Fujiki, Simon M. Danner, et al.. (2022). Contribution of Afferent Feedback to Adaptive Hindlimb Walking in Cats: A Neuromusculoskeletal Modeling Study. Frontiers in Bioengineering and Biotechnology. 10. 825149–825149. 2 indexed citations
7.
Danner, Simon M., Sergey N. Markin, Claudia Kathe, et al.. (2021). A Whole-Body Musculoskeletal Model of the Mouse. IEEE Access. 9. 163861–163881. 9 indexed citations
8.
Barnett, William H., et al.. (2019). The interplay between cerebellum and basal ganglia in motor adaptation: A modeling study. PLoS ONE. 14(4). e0214926–e0214926. 11 indexed citations
9.
Kim, Taegyo, et al.. (2019). The Functional Role of Striatal Cholinergic Interneurons in Reinforcement Learning From Computational Perspective. Frontiers in Neural Circuits. 13. 10–10. 15 indexed citations
10.
Teka, Wondimu, William H. Barnett, Taegyo Kim, et al.. (2017). From the motor cortex to the movement and back again. PLoS ONE. 12(6). e0179288–e0179288. 32 indexed citations
11.
Kim, Taegyo, et al.. (2017). Reward Based Motor Adaptation Mediated by Basal Ganglia. Frontiers in Computational Neuroscience. 11. 15 indexed citations
12.
Shevtsova, Natalia A., Adolfo E. Talpalar, Sergey N. Markin, et al.. (2015). Organization of left–right coordination of neuronal activity in the mammalian spinal cord: Insights from computational modelling. The Journal of Physiology. 593(11). 2403–2426. 65 indexed citations
13.
Markin, Sergey N., et al.. (2011). A dynamical systems analysis of afferent control in a neuromechanical model of locomotion: I. Rhythm generation. Journal of Neural Engineering. 8(6). 65003–65003. 29 indexed citations
14.
Markin, Sergey N., et al.. (2011). A dynamical systems analysis of afferent control in a neuromechanical model of locomotion: II. Phase asymmetry. Journal of Neural Engineering. 8(6). 65004–65004. 20 indexed citations
15.
Markin, Sergey N., Alexander N. Klishko, Natalia A. Shevtsova, et al.. (2010). Afferent control of locomotor CPG: insights from a simple neuromechanical model. Annals of the New York Academy of Sciences. 1198(1). 21–34. 63 indexed citations
16.
Rybak, Ilya A., Ana P. Abdala, Sergey N. Markin, Julian F. R. Paton, & Jeffrey C. Smith. (2007). Spatial organization and state-dependent mechanisms for respiratory rhythm and pattern generation. Progress in brain research. 165. 201–220. 122 indexed citations
17.
Giszter, S.F., et al.. (2005). A Real-Time System for Small Animal Neurorobotics at Spinal or Cortical Levels.. 20. 450–453. 7 indexed citations
18.
Dunin-Barkowski, Witali L., Sergey N. Markin, L. N. Podladchikova, & Donald C. Wunsch. (2003). Climbing fibre Purkinje cell twins are found. 1. 219–222.
19.
Prilutsky, Boris I., et al.. (2002). Modeling the Spinal Cord Neural Circuitry Controlling Cat Hindlimb Movement During Locomotion. SSRN Electronic Journal. 1 indexed citations
20.
Podladchikova, L. N., et al.. (1999). Advanced biologically plausible algorithms for low-level image processing. 3837. 377–385. 1 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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