Telma T. Schwindt

30 total papers · 896 total citations
21 papers, 670 citations indexed

About

Telma T. Schwindt is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Molecular Biology. According to data from OpenAlex, Telma T. Schwindt has authored 21 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 10 papers in Developmental Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Telma T. Schwindt's work include Neurogenesis and neuroplasticity mechanisms (9 papers), Nerve injury and regeneration (7 papers) and Pluripotent Stem Cells Research (5 papers). Telma T. Schwindt is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (9 papers), Nerve injury and regeneration (7 papers) and Pluripotent Stem Cells Research (5 papers). Telma T. Schwindt collaborates with scholars based in Brazil, United States and Puerto Rico. Telma T. Schwindt's co-authors include Henning Ulrich, Claudiana Lameu, Cleber A. Trujillo, Micheli Mainardi Pillat, Luiz E. Mello, Priscilla D. Negraes, Arquimedes Cheffer, Hugo A. Armelin, Antonio H. Martins and Janaina Alves and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Telma T. Schwindt

21 papers receiving 660 citations

Author Peers

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

Author Last Decade Papers Cites
Telma T. Schwindt 279 193 163 161 118 21 670
Javorina Milošević 376 1.3× 264 1.4× 89 0.5× 201 1.2× 64 0.5× 26 765
Katrin Trautmann 312 1.1× 78 0.4× 68 0.4× 193 1.2× 112 0.9× 26 763
Giuseppe Busca 220 0.8× 125 0.6× 166 1.0× 166 1.0× 21 0.2× 27 738
Patrick Lüningschrör 365 1.3× 102 0.5× 133 0.8× 232 1.4× 17 0.1× 25 745
Ronald D. Graff 228 0.8× 72 0.4× 38 0.2× 154 1.0× 86 0.7× 21 704
Felicia Yu Hsuan Teng 335 1.2× 200 1.0× 75 0.5× 343 2.1× 20 0.2× 20 700
Zhongyi Hu 424 1.5× 284 1.5× 103 0.6× 234 1.5× 16 0.1× 16 662
Henglin Yan 194 0.7× 219 1.1× 22 0.1× 250 1.6× 162 1.4× 13 641
Sang-Hyun Choi 352 1.3× 102 0.5× 119 0.7× 179 1.1× 11 0.1× 21 741
Anna Casanovas 326 1.2× 50 0.3× 190 1.2× 247 1.5× 68 0.6× 38 790

Countries citing papers authored by Telma T. Schwindt

Since Specialization
Citations

This map shows the geographic impact of Telma T. Schwindt'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 Telma T. Schwindt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Telma T. Schwindt more than expected).

Fields of papers citing papers by Telma T. Schwindt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Telma T. Schwindt. 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 Telma T. Schwindt. The network helps show where Telma T. Schwindt may publish in the future.

Co-authorship network of co-authors of Telma T. Schwindt

This figure shows the co-authorship network connecting the top 25 collaborators of Telma T. Schwindt. A scholar is included among the top collaborators of Telma T. Schwindt 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 Telma T. Schwindt. Telma T. Schwindt 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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