Inna Nosikova

648 total citations
10 papers, 247 citations indexed

About

Inna Nosikova is a scholar working on Physiology, Neurology and Pathology and Forensic Medicine. According to data from OpenAlex, Inna Nosikova has authored 10 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 3 papers in Neurology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Inna Nosikova's work include Spaceflight effects on biology (8 papers), Transcranial Magnetic Stimulation Studies (3 papers) and Ergonomics and Musculoskeletal Disorders (2 papers). Inna Nosikova is often cited by papers focused on Spaceflight effects on biology (8 papers), Transcranial Magnetic Stimulation Studies (3 papers) and Ergonomics and Musculoskeletal Disorders (2 papers). Inna Nosikova collaborates with scholars based in Russia, Belgium and Germany. Inna Nosikova's co-authors include Elena Tomilovskaya, Ilya Rukavishnikov, Ben Jeurissen, Floris L. Wuyts, Steven Jillings, Ekaterina Pechenkova, Angelique Van Ombergen, Alena Rumshiskaya, В. Е. Синицын and Steven Laureys and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Science Advances.

In The Last Decade

Inna Nosikova

9 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Inna Nosikova Russia	5	213	69	43	31	30	10	247
Liudmila Litvinova Russia	5	283 1.3×	88 1.3×	61 1.4×	33 1.1×	44 1.5×	7	348
Jessica K. Lee Germany	11	304 1.4×	103 1.5×	74 1.7×	33 1.1×	59 2.0×	15	333
Alena Rumshiskaya Russia	6	287 1.3×	88 1.3×	61 1.4×	33 1.1×	44 1.5×	12	362
Nichole E. Beltran United States	12	292 1.4×	79 1.1×	78 1.8×	28 0.9×	38 1.3×	17	340
Heather R. McGregor United States	12	295 1.4×	72 1.0×	73 1.7×	27 0.9×	40 1.3×	20	373
Steven Jillings Belgium	7	225 1.1×	70 1.0×	45 1.0×	33 1.1×	31 1.0×	13	337
Raghavan Gopalakrishnan United States	9	232 1.1×	39 0.6×	67 1.6×	45 1.5×	15 0.5×	31	343
Dai Shiba Japan	13	292 1.4×	100 1.4×	60 1.4×	9 0.3×	11 0.4×	21	365
Timo Frett Germany	9	242 1.1×	52 0.8×	64 1.5×	4 0.1×	16 0.5×	24	290
William Lipsky United States	6	490 2.3×	227 3.3×	97 2.3×	176 5.7×	129 4.3×	9	609

Countries citing papers authored by Inna Nosikova

Since Specialization

Citations

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

Fields of papers citing papers by Inna Nosikova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inna Nosikova

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

All Works

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10 of 10 papers shown

Ahmadi, Seyed‐Ahmad, Steven Jillings, Ben Jeurissen, et al.. (2025). MReye-Seg: development and validation of an automated MRI pipeline for standardised ocular and orbital morphometrics. Eye. 39(18). 3294–3305. 1 indexed citations

Ponomarev, Ivan I., et al.. (2023). Impact of different ground-based microgravity models on human sensorimotor system. Frontiers in Physiology. 14. 1085545–1085545. 9 indexed citations

Nosikova, Inna, et al.. (2023). Effectiveness of space countermeasures to prevent hyperreflexia. SHILAP Revista de lepidopterología. 4(3). 335–345. 1 indexed citations

Nosikova, Inna, et al.. (2023). Grip Force Control in 21-Day Dry Immersion. Human Physiology. 49(6). 579–588.

Nosikova, Inna, et al.. (2021). Specific Features of the Motor Potentials of the Leg Muscles Induced by Magnetic Stimulation under the Conditions of a Five-Day “Dry” Immersion in Healthy Volunteers. Human Physiology. 47(3). 282–288. 3 indexed citations

Tomilovskaya, Elena, Inna Nosikova, Ilya Rukavishnikov, et al.. (2021). The First Female Dry Immersion (NAIAD-2020): Design and Specifics of a 3-Day Study. Frontiers in Physiology. 12. 661959–661959. 9 indexed citations

Nosikova, Inna, et al.. (2021). NAIAD-2020: Characteristics of Motor Evoked Potentials After 3-Day Exposure to Dry Immersion in Women. Frontiers in Human Neuroscience. 15. 753259–753259. 4 indexed citations

Jillings, Steven, Angelique Van Ombergen, Elena Tomilovskaya, et al.. (2020). Macro- and microstructural changes in cosmonauts’ brains after long-duration spaceflight. Science Advances. 6(36). 59 indexed citations

Pechenkova, Ekaterina, Inna Nosikova, Alena Rumshiskaya, et al.. (2019). Alterations of Functional Brain Connectivity After Long-Duration Spaceflight as Revealed by fMRI. Frontiers in Physiology. 10. 66 indexed citations

10.

Ombergen, Angelique Van, Steven Jillings, Ben Jeurissen, et al.. (2019). Brain ventricular volume changes induced by long-duration spaceflight. Proceedings of the National Academy of Sciences. 116(21). 10531–10536. 95 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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