Polina Anikeeva

12.7k citations
96 papers · 9.5k indexed · 10 hit papers · h-index 45
Topics
Neuroscience and Neural Engineering (40 papers)Photoreceptor and optogenetics research (37 papers)Quantum Dots Synthesis And Properties (11 papers)

In The Last Decade

Polina Anikeeva

94 papers receiving 9.4k citations

Hit Papers

Natural Neural Projection Dynamics Underlying Social...200620262012201920142009201520152017250500750

Peers

Polina Anikeeva
Comparison fields: 5 of 157
  • Cellular and Molecular Neuroscience 4.1k
  • Biomedical Engineering 3.1k
  • Electrical and Electronic Engineering 2.7k
  • Materials Chemistry 2.5k
  • Cognitive Neuroscience 1.7k
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Polina Anikeeva relative to Laura Ballerini Italy Laura Ballerini's profile →
Citations per field
00.5×7.7×
Laura Ballerini · 1×
Citations per year

Countries citing papers authored by Polina Anikeeva

Since Specialization
Citations

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

Fields of papers citing papers by Polina Anikeeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Polina Anikeeva

This figure shows the co-authorship network connecting the top 25 collaborators of Polina Anikeeva. A scholar is included among the top collaborators of Polina Anikeeva 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 Polina Anikeeva. Polina Anikeeva 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
#WorkIndexed citations
1 27
2 61
3 15
4 66
5 26
6 4
7 85
8 70
9 47
10 84
11 67
12 163
13 86
14 191
15
One-step optogenetics with multifunctional flexible polymer fibers
2
16 289
17
Multifunctional fibers for simultaneous optical, electrical and chemical interrogation of neural circuits in vivobreakdown →
532
18
Natural Neural Projection Dynamics Underlying Social Behaviorbreakdown →
973
19 370
20
Color‐Saturated Green‐Emitting QD‐LEDsbreakdown →
246

About Polina Anikeeva

Polina Anikeeva is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Bioengineering, having authored 96 papers that have together received 9.5k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (40 papers), Photoreceptor and optogenetics research (37 papers) and Quantum Dots Synthesis And Properties (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.1k citations), Cognitive Neuroscience (1.7k citations) and Biomedical Engineering (3.1k citations). Polina Anikeeva has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Vladimir Bulović, Moungi G. Bawendi, Ritchie Chen, Jonathan E. Halpert, Andrés Canales, Michael G. Christiansen, Yoel Fink, Seongjun Park, Karl Deisseroth and Gabriela Romero. Their work appears in journals such as Science, Cell and Chemical Society Reviews.

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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