Anna Tokarska

10 total papers · 513 total citations
6 papers, 303 citations indexed

About

Anna Tokarska is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Anna Tokarska has authored 6 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Anna Tokarska's work include Neuroscience and Neuropharmacology Research (3 papers), Neural dynamics and brain function (2 papers) and Genetic Neurodegenerative Diseases (1 paper). Anna Tokarska is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Neural dynamics and brain function (2 papers) and Genetic Neurodegenerative Diseases (1 paper). Anna Tokarska collaborates with scholars based in Sweden, Poland and United States. Anna Tokarska's co-authors include Gilad Silberberg, François Lallemend, Haohao Wu, Paula Fontanet, Saïda Hadjab, Charles Petitpré, Anil Sharma, Françoise Helmbacher, Kevin Yackle and Yiqiao Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cell Reports.

In The Last Decade

Anna Tokarska

6 papers receiving 301 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anna Tokarska 136 134 112 111 24 6 303
Yiqiao Wang 93 0.7× 153 1.1× 89 0.8× 158 1.4× 37 1.5× 13 352
Charles Petitpré 109 0.8× 192 1.4× 71 0.6× 134 1.2× 40 1.7× 7 340
Sarah Ohashi 106 0.8× 40 0.3× 103 0.9× 41 0.4× 37 1.5× 4 251
Christopher E. Vaaga 85 0.6× 95 0.7× 233 2.1× 76 0.7× 50 2.1× 11 334
Zahra Dargaei 61 0.4× 37 0.3× 168 1.5× 211 1.9× 28 1.2× 12 363
Rodrigo Martinez‐Monedero 160 1.2× 255 1.9× 45 0.4× 66 0.6× 41 1.7× 8 324
Tomás Osorno 85 0.6× 54 0.4× 148 1.3× 152 1.4× 103 4.3× 11 344
Shunji He 100 0.7× 112 0.8× 118 1.1× 132 1.2× 37 1.5× 13 339
Alexandra Gribizis 174 1.3× 71 0.5× 179 1.6× 86 0.8× 20 0.8× 7 300
Aenea Hendry 58 0.4× 128 1.0× 54 0.5× 115 1.0× 44 1.8× 7 296

Countries citing papers authored by Anna Tokarska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Tokarska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Tokarska

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

All Works

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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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