Tajrena Alexi

16 total papers · 2.0k total citations
15 papers, 1.7k citations indexed

About

Tajrena Alexi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Tajrena Alexi has authored 15 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 5 papers in Developmental Neuroscience. Recurrent topics in Tajrena Alexi's work include Nerve injury and regeneration (6 papers), Genetic Neurodegenerative Diseases (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Tajrena Alexi is often cited by papers focused on Nerve injury and regeneration (6 papers), Genetic Neurodegenerative Diseases (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Tajrena Alexi collaborates with scholars based in United States, New Zealand and Germany. Tajrena Alexi's co-authors include Franz Hefti, Paul E. Hughes, Kris Poulsen, Arnon Rosenthal, Klaus D. Beck, Barbara Moffat, Richard Vandlen, Ross Clark, Beat Knüsel and Richard L. M. Faull and has published in prestigious journals such as Nature, Brain Research and Neuroscience.

In The Last Decade

Tajrena Alexi

15 papers receiving 1.7k citations

Hit Papers

Mesencephalic dopaminergi... 1995 2026 2005 2015 1995 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Tajrena Alexi 1.2k 764 510 305 148 15 1.7k
Beth‐Anne Sieber 1.1k 0.9× 530 0.7× 555 1.1× 430 1.4× 96 0.6× 16 1.6k
Leu‐Fen H. Lin 1.3k 1.1× 751 1.0× 727 1.4× 272 0.9× 155 1.0× 15 1.8k
J. Lynn Rutkowski 1.0k 0.9× 657 0.9× 532 1.0× 372 1.2× 82 0.6× 27 1.9k
Mariko Sekiguchi 804 0.7× 1.2k 1.6× 441 0.9× 302 1.0× 210 1.4× 42 2.2k
S Debiasi 908 0.8× 981 1.3× 392 0.8× 213 0.7× 177 1.2× 22 1.9k
Stanley A. Baldwin 790 0.7× 868 1.1× 554 1.1× 621 2.0× 132 0.9× 15 2.0k
Sophie Feldblum 1.3k 1.1× 594 0.8× 273 0.5× 180 0.6× 258 1.7× 19 2.2k
David S. Zuzga 745 0.6× 710 0.9× 337 0.7× 196 0.6× 92 0.6× 15 2.0k
Cristina M. Bäckman 1.4k 1.2× 1.1k 1.5× 375 0.7× 248 0.8× 242 1.6× 41 2.3k
P. Elyse Schauwecker 1.0k 0.9× 728 1.0× 337 0.7× 130 0.4× 117 0.8× 32 1.6k

Countries citing papers authored by Tajrena Alexi

Since Specialization
Citations

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

Fields of papers citing papers by Tajrena Alexi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tajrena Alexi

This figure shows the co-authorship network connecting the top 25 collaborators of Tajrena Alexi. A scholar is included among the top collaborators of Tajrena Alexi 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 Tajrena Alexi. Tajrena Alexi 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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