Dmitry Kobylkov

736 total citations
21 papers, 429 citations indexed

About

Dmitry Kobylkov is a scholar working on Ecology, Cognitive Neuroscience and Biophysics. According to data from OpenAlex, Dmitry Kobylkov has authored 21 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 8 papers in Cognitive Neuroscience and 7 papers in Biophysics. Recurrent topics in Dmitry Kobylkov's work include Electromagnetic Fields and Biological Effects (7 papers), Hemispheric Asymmetry in Neuroscience (6 papers) and Animal Vocal Communication and Behavior (6 papers). Dmitry Kobylkov is often cited by papers focused on Electromagnetic Fields and Biological Effects (7 papers), Hemispheric Asymmetry in Neuroscience (6 papers) and Animal Vocal Communication and Behavior (6 papers). Dmitry Kobylkov collaborates with scholars based in Germany, Italy and Russia. Dmitry Kobylkov's co-authors include Henrik Mouritsen, Nikita Chernetsov, A. Yu. Pakhomov, Giorgio Vallortígara, Michael Winklhofer, Uwe Mayer, Dmitry Kishkinev, Andrey Mukhin, Richard A. Holland and P. J. Hore and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Dmitry Kobylkov

21 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dmitry Kobylkov Germany 12 193 185 108 69 66 21 429
Paulo E. Jorge Portugal 11 104 0.5× 205 1.1× 50 0.5× 50 0.7× 49 0.7× 22 398
Mark E. Deutschlander United States 14 226 1.2× 309 1.7× 85 0.8× 98 1.4× 67 1.0× 19 617
Dmitry Kishkinev Germany 14 288 1.5× 482 2.6× 151 1.4× 89 1.3× 192 2.9× 25 759
Shaun D. Cain United States 8 93 0.5× 269 1.5× 48 0.4× 205 3.0× 18 0.3× 13 509
Cordula V. Mora United States 8 137 0.7× 115 0.6× 68 0.6× 33 0.5× 49 0.7× 10 295
Julia Bojarinova Russia 10 89 0.5× 304 1.6× 30 0.3× 18 0.3× 26 0.4× 17 392
Larry C. Boles United States 6 100 0.5× 236 1.3× 34 0.3× 51 0.7× 26 0.4× 7 468
Francisco Javier Diego‐Rasilla Spain 14 90 0.5× 206 1.1× 53 0.5× 21 0.3× 86 1.3× 30 453
Michael S. Painter United States 11 148 0.8× 88 0.5× 58 0.5× 28 0.4× 10 0.2× 18 249
Andreas Michalik Germany 10 191 1.0× 199 1.1× 50 0.5× 54 0.8× 44 0.7× 10 433

Countries citing papers authored by Dmitry Kobylkov

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Kobylkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Kobylkov

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Kobylkov. A scholar is included among the top collaborators of Dmitry Kobylkov 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 Dmitry Kobylkov. Dmitry Kobylkov 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.
Lorenzi, Elena, Dmitry Kobylkov, & Giorgio Vallortígara. (2025). Is there an innate sense of number in the brain?. Cerebral Cortex. 35(2). 4 indexed citations
2.
Kobylkov, Dmitry, et al.. (2024). Responses in the left and right entopallium are differently affected by light stimulation in embryo. iScience. 27(3). 109268–109268. 3 indexed citations
3.
Kobylkov, Dmitry, et al.. (2024). Innate face-selectivity in the brain of young domestic chicks. Proceedings of the National Academy of Sciences. 121(40). e2410404121–e2410404121. 1 indexed citations
4.
Kobylkov, Dmitry & Giorgio Vallortígara. (2024). Face detection mechanisms: Nature vs. nurture. Frontiers in Neuroscience. 18. 1404174–1404174. 11 indexed citations
5.
Bassetto, Marco, Dmitry Kobylkov, Daniel R. Kattnig, et al.. (2023). No evidence for magnetic field effects on the behaviour of Drosophila. Nature. 620(7974). 595–599. 28 indexed citations
6.
7.
Kobylkov, Dmitry, et al.. (2023). Neural coding of numerousness. Biosystems. 232. 104999–104999. 4 indexed citations
8.
Kobylkov, Dmitry, Glen Dautaj, Marco Bassetto, et al.. (2022). Broadband 75–85 MHz radiofrequency fields disrupt magnetic compass orientation in night-migratory songbirds consistent with a flavin-based radical pair magnetoreceptor. Journal of Comparative Physiology A. 208(1). 97–106. 31 indexed citations
9.
Kobylkov, Dmitry, Noemi Rook, Karin Dedek, et al.. (2022). Morphology of the “prefrontal” nidopallium caudolaterale in the long-distance night-migratory Eurasian blackcap (Sylvia atricapilla). Neuroscience Letters. 789. 136869–136869. 2 indexed citations
10.
Kobylkov, Dmitry, et al.. (2022). Number neurons in the nidopallium of young domestic chicks. Proceedings of the National Academy of Sciences. 119(32). e2201039119–e2201039119. 29 indexed citations
11.
Kobylkov, Dmitry, et al.. (2021). Light-incubation effects on lateralisation of single unit responses in the visual Wulst of domestic chicks. Brain Structure and Function. 227(2). 497–513. 15 indexed citations
12.
Kobylkov, Dmitry, et al.. (2020). A newly identified trigeminal brain pathway in a night-migratory bird could be dedicated to transmitting magnetic map information. Proceedings of the Royal Society B Biological Sciences. 287(1919). 20192788–20192788. 15 indexed citations
13.
Kobylkov, Dmitry, Joe Wynn, Michael Winklhofer, et al.. (2019). Electromagnetic 0.1–100 kHz noise does not disrupt orientation in a night-migrating songbird implying a spin coherence lifetime of less than 10 µs. Journal of The Royal Society Interface. 16(161). 20190716–20190716. 33 indexed citations
14.
Pakhomov, A. Yu., et al.. (2018). Magnetic map navigation in a migratory songbird requires trigeminal input. Scientific Reports. 8(1). 11975–11975. 36 indexed citations
15.
Chernetsov, Nikita, A. Yu. Pakhomov, Dmitry Kobylkov, et al.. (2017). Migratory Eurasian Reed Warblers Can Use Magnetic Declination to Solve the Longitude Problem. Current Biology. 27(17). 2647–2651.e2. 58 indexed citations
16.
Pakhomov, A. Yu., Julia Bojarinova, R. V. Cherbunin, et al.. (2017). Very weak oscillating magnetic field disrupts the magnetic compass of songbird migrants. Journal of The Royal Society Interface. 14(133). 20170364–20170364. 28 indexed citations
17.
Mukhin, Andrey, et al.. (2016). The Strategy to Survive Primary Malaria Infection: An Experimental Study on Behavioural Changes in Parasitized Birds. PLoS ONE. 11(7). e0159216–e0159216. 51 indexed citations
18.
Kobylkov, Dmitry, et al.. (2016). Migratory blackcaps can use their magnetic compass at 5 degrees inclination, but are completely random at 0 degrees inclination. Scientific Reports. 6(1). 33805–33805. 27 indexed citations
19.
Kobylkov, Dmitry, et al.. (2014). Fuel for the road: the pre-migratory fuel loading of adult Eurasian Reed Warblers (Acrocephalus scirpaceus). Journal für Ornithologie. 155(4). 979–986. 2 indexed citations
20.
Kavokin, K. V., et al.. (2014). Magnetic orientation of garden warblers ( Sylvia borin ) under 1.4 MHz radiofrequency magnetic field. Journal of The Royal Society Interface. 11(97). 20140451–20140451. 41 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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