Maxim Nikitchenko

505 total citations
8 papers, 251 citations indexed

About

Maxim Nikitchenko is a scholar working on Cell Biology, Ecology and Cognitive Neuroscience. According to data from OpenAlex, Maxim Nikitchenko has authored 8 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cell Biology, 3 papers in Ecology and 3 papers in Cognitive Neuroscience. Recurrent topics in Maxim Nikitchenko's work include Zebrafish Biomedical Research Applications (4 papers), Marine animal studies overview (2 papers) and Neural dynamics and brain function (2 papers). Maxim Nikitchenko is often cited by papers focused on Zebrafish Biomedical Research Applications (4 papers), Marine animal studies overview (2 papers) and Neural dynamics and brain function (2 papers). Maxim Nikitchenko collaborates with scholars based in United States, Singapore and United Kingdom. Maxim Nikitchenko's co-authors include Florian Engert, Owen Randlett, Misha B. Ahrens, Erin Song, Caroline Lei Wee, Yu Hu, Xiuye Chen, Alex Chen, Haim Sompolinsky and Aaron T. Kuan and has published in prestigious journals such as Nature Communications, Neuron and Nature Neuroscience.

In The Last Decade

Maxim Nikitchenko

7 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxim Nikitchenko United States 6 127 96 77 51 44 8 251
Erin Song United States 6 110 0.9× 75 0.8× 68 0.9× 53 1.0× 53 1.2× 6 256
Kristian J. Herrera United States 11 150 1.2× 62 0.6× 53 0.7× 132 2.6× 35 0.8× 15 444
Gregory D. Marquart United States 9 225 1.8× 95 1.0× 141 1.8× 128 2.5× 20 0.5× 9 388
Vilim Štih Germany 6 101 0.8× 97 1.0× 107 1.4× 48 0.9× 7 0.2× 8 255
Christoph Gebhardt France 9 194 1.5× 128 1.3× 178 2.3× 134 2.6× 22 0.5× 9 385
Deepak Ailani Japan 5 145 1.1× 63 0.7× 93 1.2× 90 1.8× 34 0.8× 8 259
Thomas Panier France 7 165 1.3× 112 1.2× 93 1.2× 98 1.9× 16 0.4× 15 392
Abhinav Grama United States 5 100 0.8× 138 1.4× 144 1.9× 81 1.6× 14 0.3× 6 383
Christophe Dupré United States 9 50 0.4× 83 0.9× 119 1.5× 135 2.6× 19 0.4× 16 459
Audrey Chen United States 11 80 0.6× 74 0.8× 182 2.4× 92 1.8× 9 0.2× 19 369

Countries citing papers authored by Maxim Nikitchenko

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Nikitchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Nikitchenko

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

All Works

8 of 8 papers shown
1.
Nikitchenko, Maxim, Chaichontat Sriworarat, Eftychios A. Pnevmatikakis, et al.. (2025). A software platform for real-time and adaptive neuroscience experiments. Nature Communications. 16(1). 9909–9909.
2.
Wee, Caroline Lei, Erin Song, Maxim Nikitchenko, et al.. (2022). Social isolation modulates appetite and avoidance behavior via a common oxytocinergic circuit in larval zebrafish. Nature Communications. 13(1). 2573–2573. 27 indexed citations
3.
Petkova, Mariela D., Martin Haesemeyer, Jonathan Boulanger-Weill, et al.. (2021). Functional and ultrastructural analysis of reafferent mechanosensation in larval zebrafish. Current Biology. 32(1). 176–189.e5. 13 indexed citations
4.
Wee, Caroline Lei, Erin Song, Robert E. Johnson, et al.. (2019). A bidirectional network for appetite control in larval zebrafish. eLife. 8. 45 indexed citations
5.
Wee, Caroline Lei, Maxim Nikitchenko, Wei‐Chun Wang, et al.. (2019). Zebrafish oxytocin neurons drive nocifensive behavior via brainstem premotor targets. Nature Neuroscience. 22(9). 1477–1492. 52 indexed citations
6.
Chen, Xiuye, Yu Mu, Yu Hu, et al.. (2018). Brain-wide Organization of Neuronal Activity and Convergent Sensorimotor Transformations in Larval Zebrafish. Neuron. 100(4). 876–890.e5. 103 indexed citations
7.
Nikitchenko, Maxim & Alexei A. Koulakov. (2008). Neural Integrator: A Sandpile Model. Neural Computation. 20(10). 2379–2417. 7 indexed citations
8.
Krylov, V. N., Maxim Nikitchenko, Martin Qüack, & Georg Seyfang. (2004). Femtosecond intramolecular dymanics after near-IR excitation of CH 3 I, C 2 H 5 I, CF 3 CHFI, and C 7 H 8 molecules in the gas phase and in solution. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5337. 178–178. 4 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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