Yu. P. Gerasimenko

943 total citations
66 papers, 698 citations indexed

About

Yu. P. Gerasimenko is a scholar working on Pathology and Forensic Medicine, Neurology and Rehabilitation. According to data from OpenAlex, Yu. P. Gerasimenko has authored 66 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Pathology and Forensic Medicine, 22 papers in Neurology and 15 papers in Rehabilitation. Recurrent topics in Yu. P. Gerasimenko's work include Spinal Cord Injury Research (39 papers), Transcranial Magnetic Stimulation Studies (21 papers) and Stroke Rehabilitation and Recovery (15 papers). Yu. P. Gerasimenko is often cited by papers focused on Spinal Cord Injury Research (39 papers), Transcranial Magnetic Stimulation Studies (21 papers) and Stroke Rehabilitation and Recovery (15 papers). Yu. P. Gerasimenko collaborates with scholars based in Russia, United States and Czechia. Yu. P. Gerasimenko's co-authors include V. Reggie Edgerton, Hui Zhong, Ronaldo M. Ichiyama, Roland R. Roy, Т. Р. Мошонкина, Igor Lavrov, Pavel Musienko, В. А. Селионов, Р. М. Городничев and А. А. Гришин and has published in prestigious journals such as Neuroscience Letters, Bulletin of Experimental Biology and Medicine and Neuroscience and Behavioral Physiology.

In The Last Decade

Yu. P. Gerasimenko

60 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu. P. Gerasimenko Russia 11 520 232 204 180 122 66 698
Heinrich Binder Austria 13 506 1.0× 306 1.3× 172 0.8× 271 1.5× 169 1.4× 18 802
Р. М. Городничев Russia 11 517 1.0× 286 1.2× 218 1.1× 209 1.2× 158 1.3× 43 688
Т. Р. Мошонкина Russia 14 651 1.3× 325 1.4× 224 1.1× 262 1.5× 218 1.8× 79 864
Matthias Krenn Austria 12 375 0.7× 263 1.1× 271 1.3× 206 1.1× 160 1.3× 31 781
Dorothy Barthélemy Canada 15 470 0.9× 247 1.1× 305 1.5× 128 0.7× 159 1.3× 39 898
В. А. Селионов Russia 15 348 0.7× 211 0.9× 257 1.3× 118 0.7× 116 1.0× 46 693
Jessica M. D’Amico Canada 14 461 0.9× 248 1.1× 252 1.2× 118 0.7× 74 0.6× 26 896
Prithvi K. Shah United States 15 497 1.0× 148 0.6× 188 0.9× 209 1.2× 177 1.5× 29 904
Andrea Willhite United States 6 748 1.4× 230 1.0× 220 1.1× 359 2.0× 202 1.7× 7 994
Sharon Zdunowski United States 13 739 1.4× 252 1.1× 196 1.0× 362 2.0× 214 1.8× 17 928

Countries citing papers authored by Yu. P. Gerasimenko

Since Specialization
Citations

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

Fields of papers citing papers by Yu. P. Gerasimenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu. P. Gerasimenko. 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 Yu. P. Gerasimenko. The network helps show where Yu. P. Gerasimenko may publish in the future.

Co-authorship network of co-authors of Yu. P. Gerasimenko

This figure shows the co-authorship network connecting the top 25 collaborators of Yu. P. Gerasimenko. A scholar is included among the top collaborators of Yu. P. Gerasimenko 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 Yu. P. Gerasimenko. Yu. P. Gerasimenko 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.
Мошонкина, Т. Р., et al.. (2024). A New Technology for Gait Regulation in Children with Cerebral Palsy. Human Physiology. 50(6). 591–602. 1 indexed citations
2.
Gerasimenko, Yu. P., et al.. (2024). Neurorehabilitation Based on Spinal Cord Stimulation and Motor Training. Neuroscience and Behavioral Physiology. 54(5). 737–748. 1 indexed citations
3.
Gerasimenko, Yu. P., et al.. (2023). Neurorehabilitation Based on Spinal Cord Stimulation and Motor Training. 54(4). 3–17.
4.
Гришин, А. А., et al.. (2023). Effects of Single Noninvasive Spinal Cord Stimulation in Patients with Post-Stroke Motor Disorders. Физиология человека. 49(4). 70–78.
5.
Gerasimenko, Yu. P., et al.. (2023). Plastic Changes Induced by Motor Activity in Spinal Cord Injury. Neuroscience and Behavioral Physiology. 53(3). 399–408.
6.
Гришин, А. А., et al.. (2023). Effects of Single Noninvasive Spinal Cord Stimulation in Patients with Post-Stroke Motor Disorders. Human Physiology. 49(4). 384–392. 4 indexed citations
7.
Мошонкина, Т. Р., et al.. (2021). Muscle Coactivation Phenomenon in the Modulation of Walking by Electrical Stimulation of the Spinal Cord. Human Physiology. 47(2). 175–182. 3 indexed citations
8.
Гришин, А. А., et al.. (2021). Phase-Dependent Effects of Transcutaneous Spinal Cord Stimulation on Regulation of Kinematics of Human Stepping Motions. BIOPHYSICS. 66(4). 681–688. 1 indexed citations
9.
Gerasimenko, Yu. P., et al.. (2021). Cognitive Motor Rehabilitation: Imagination and Observation of Motor Actions. Human Physiology. 47(1). 104–112. 4 indexed citations
10.
Pavlova, Natalia, et al.. (2020). Restoration of Motor Functions in Spinal Rats by Electrical Stimulation of the Spinal Cord and Locomotor Training. Neuroscience and Behavioral Physiology. 50(5). 599–606. 2 indexed citations
11.
12.
Gerasimenko, Yu. P., et al.. (2016). A Mathematical Model of Hindlimb Control in Cats during Locomotion with Maintenance of Balance. Neuroscience and Behavioral Physiology. 46(6). 606–614. 1 indexed citations
13.
Мошонкина, Т. Р., et al.. (2016). Effect of Combination of Non-Invasive Spinal Cord Electrical Stimulation and Serotonin Receptor Activation in Patients with Chronic Spinal Cord Lesion. Bulletin of Experimental Biology and Medicine. 161(6). 749–754. 11 indexed citations
14.
Городничев, Р. М., Т. Р. Мошонкина, В. А. Селионов, et al.. (2012). Transcutaneous electrical stimulation of the spinal cord: A noninvasive tool for the activation of stepping pattern generators in humans. Human Physiology. 38(2). 158–167. 47 indexed citations
15.
Мошонкина, Т. Р., et al.. (2012). Effects of Spinal Cord Electrical Stimulation in Patients with Vertebrospinal Pathology. Bulletin of Experimental Biology and Medicine. 153(1). 16–20. 14 indexed citations
16.
Мошонкина, Т. Р., et al.. (2009). Morphofunctional study of injured spinal cord of rats after activation of serotonergic receptors and motor load. Doklady Biological Sciences. 428(1). 412–415. 2 indexed citations
17.
Мошонкина, Т. Р., et al.. (2008). Morphofunctional characteristics of the lumbar enlargement of the spinal cord in rats. Neuroscience and Behavioral Physiology. 38(8). 855–860. 17 indexed citations
18.
Gerasimenko, Yu. P., et al.. (2005). Formation of locomotor patterns in decerebrate cats in conditions of epidural stimulation of the spinal cord. Neuroscience and Behavioral Physiology. 35(3). 291–298. 8 indexed citations
19.
Gerasimenko, Yu. P., et al.. (2005). Formation of locomotor patterns in decerebrate cats in conditions of epidural stimulation of the spinal cord. Neuroscience and Behavioral Physiology. 35(3). 291–298. 30 indexed citations
20.
Мошонкина, Т. Р., et al.. (2004). Morphofunctional Basis for Recovery of Locomotor Movements in Rats with Completely Crossed Spinal Cord. Bulletin of Experimental Biology and Medicine. 138(2). 198–201. 7 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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