Natalia Omelchenko

1.6k total citations
17 papers, 1.2k citations indexed

About

Natalia Omelchenko is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Natalia Omelchenko has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Natalia Omelchenko's work include Neurotransmitter Receptor Influence on Behavior (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Receptor Mechanisms and Signaling (3 papers). Natalia Omelchenko is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Receptor Mechanisms and Signaling (3 papers). Natalia Omelchenko collaborates with scholars based in United States and Russia. Natalia Omelchenko's co-authors include Susan R. Sesack, David B. Carr, Aline Pinto, Judith Joyce Balcita‐Pedicino, Cynthia Lance‐Jones, Kamal Sharma, Stephen V. Lynch, Samuel M. Poloyac, Priya Roy and О. В. Кирик and has published in prestigious journals such as Development, The Journal of Comparative Neurology and Annals of the New York Academy of Sciences.

In The Last Decade

Natalia Omelchenko

15 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalia Omelchenko United States 10 971 526 408 101 98 17 1.2k
Jennifer Kaufling France 14 841 0.9× 357 0.7× 423 1.0× 98 1.0× 124 1.3× 15 1.1k
Yasunobu Yasoshima Japan 20 806 0.8× 391 0.7× 461 1.1× 119 1.2× 98 1.0× 32 1.4k
Lauren Faget United States 16 876 0.9× 527 1.0× 376 0.9× 119 1.2× 126 1.3× 23 1.1k
Carlos A. Mejías-Aponte United States 15 815 0.8× 423 0.8× 400 1.0× 113 1.1× 110 1.1× 18 1.2k
Christelle Gras France 8 1.4k 1.4× 786 1.5× 474 1.2× 112 1.1× 111 1.1× 8 1.7k
Briac Halbout United States 13 830 0.9× 510 1.0× 354 0.9× 69 0.7× 57 0.6× 19 1.1k
Emanuela Argilli United States 9 874 0.9× 416 0.8× 373 0.9× 102 1.0× 71 0.7× 11 1.1k
Bernard Bloem Netherlands 12 639 0.7× 474 0.9× 504 1.2× 64 0.6× 82 0.8× 13 1.1k
Jamie L. Uejima United States 9 1.3k 1.4× 646 1.2× 482 1.2× 133 1.3× 92 0.9× 11 1.5k
Olga Vekovischeva Finland 18 734 0.8× 400 0.8× 257 0.6× 154 1.5× 98 1.0× 36 1.0k

Countries citing papers authored by Natalia Omelchenko

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Omelchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Omelchenko

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

All Works

17 of 17 papers shown
1.
Omelchenko, Natalia, et al.. (2023). INTERNAL COMMUNICATIONS OF PRODUCTION ENTERPRISES OF THE KRASNODAR REGION: PROBLEMS AND wAYS TO OVERCOME THEM. Management of the personnel and intellectual resources in Russia. 12(3). 49–53. 2 indexed citations
2.
Omelchenko, Natalia, et al.. (2021). Formation of Communicative Competence of Personnel. Management of the personnel and intellectual resources in Russia. 10(2). 40–45. 1 indexed citations
3.
Omelchenko, Natalia, et al.. (2021). USE OF GIS TECHNOLOGIES FOR ANALYSIS OF THE DECENTRALIZATION PROCESS IN THE CONTEXT OF THE SUSTAINABLE DEVELOPMENT STRATEGY (ON THE EXAMPLE OF KHERSON REGION). International Multidisciplinary Scientific GeoConference SGEM .... 21. 805–812. 1 indexed citations
4.
Omelchenko, Natalia, et al.. (2020). Problems and Trends of Assessment of Personnel in Modern Organizations. Management of the personnel and intellectual resources in Russia. 9(1). 69–76.
5.
Omelchenko, Natalia, et al.. (2017). Muscle Fatigue: Gender Differences. 89(1). 3 indexed citations
6.
Omelchenko, Natalia, Priya Roy, Judith Joyce Balcita‐Pedicino, Samuel M. Poloyac, & Susan R. Sesack. (2015). Impact of prenatal nicotine on the structure of midbrain dopamine regions in the rat. Brain Structure and Function. 221(4). 1939–1953. 16 indexed citations
7.
Balcita‐Pedicino, Judith Joyce, et al.. (2010). The inhibitory influence of the lateral habenula on midbrain dopamine cells: Ultrastructural evidence for indirect mediation via the rostromedial mesopontine tegmental nucleus. The Journal of Comparative Neurology. 519(6). 1143–1164. 172 indexed citations
8.
Omelchenko, Natalia, et al.. (2009). Lateral habenula projections to dopamine and GABA neurons in the rat ventral tegmental area. European Journal of Neuroscience. 30(7). 1239–1250. 178 indexed citations
9.
Omelchenko, Natalia & Susan R. Sesack. (2009). Ultrastructural analysis of local collaterals of rat ventral tegmental area neurons: GABA phenotype and synapses onto dopamine and GABA cells. Synapse. 63(10). 895–906. 138 indexed citations
10.
Omelchenko, Natalia & Susan R. Sesack. (2009). Periaqueductal gray afferents synapse onto dopamine and GABA neurons in the rat ventral tegmental area. Journal of Neuroscience Research. 88(5). 981–991. 63 indexed citations
11.
Omelchenko, Natalia & Susan R. Sesack. (2005). Laterodorsal tegmental projections to identified cell populations in the rat ventral tegmental area. The Journal of Comparative Neurology. 483(2). 217–235. 196 indexed citations
12.
Omelchenko, Natalia & Susan R. Sesack. (2005). Cholinergic axons in the rat ventral tegmental area synapse preferentially onto mesoaccumbens dopamine neurons. The Journal of Comparative Neurology. 494(6). 863–875. 107 indexed citations
13.
Omelchenko, Natalia & Cynthia Lance‐Jones. (2003). Programming neural Hoxd10: in vivo evidence that early node-associated signals predominate over paraxial mesoderm signals at posterior spinal levels. Developmental Biology. 261(1). 99–115. 9 indexed citations
14.
Sesack, Susan R., David B. Carr, Natalia Omelchenko, & Aline Pinto. (2003). Anatomical Substrates for Glutamate‐Dopamine Interactions. Annals of the New York Academy of Sciences. 1003(1). 36–52. 292 indexed citations
15.
Omelchenko, Natalia, et al.. (2002). Vascularization and Development of Cytoarchitectonics in the Human Neocortical Rudiment. Russian Journal of Developmental Biology. 33(2). 102–106. 1 indexed citations
16.
Lance‐Jones, Cynthia, et al.. (2001). Hoxd10induction and regionalization in the developing lumbosacral spinal cord. Development. 128(12). 2255–2268. 35 indexed citations
17.
Omelchenko, Natalia, et al.. (1989). Effect of heated waters of the Tripol'e thermal power station on the sanitary and hydrobiological characteristics of the Kanev reservoir. Power Technology and Engineering. 23(6). 340–344.

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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