Magdalini Tsintou

11 total papers · 440 total citations
8 papers, 315 citations indexed

About

Magdalini Tsintou is a scholar working on Cellular and Molecular Neuroscience, Surgery and Molecular Biology. According to data from OpenAlex, Magdalini Tsintou has authored 8 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Magdalini Tsintou's work include Nerve injury and regeneration (6 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Magdalini Tsintou is often cited by papers focused on Nerve injury and regeneration (6 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Magdalini Tsintou collaborates with scholars based in United Kingdom and United States. Magdalini Tsintou's co-authors include Kyriakos Dalamagkas, Alexander M. Seifalian, Amelia Seifalian, Yogesh Rathi, Edward H. Yeterian, Nikos Makris, George Papadimitriou, Lauren J. O’Donnell, Peter Savadjiev and Ofer Pasternak and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Materials Science and Engineering C.

In The Last Decade

Magdalini Tsintou

8 papers receiving 311 citations

Author Peers

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

Author Last Decade Papers Cites
Magdalini Tsintou 192 104 91 75 67 8 315
Kyriakos Dalamagkas 193 1.0× 106 1.0× 91 1.0× 74 1.0× 67 1.0× 8 333
Yudan Gao 159 0.8× 81 0.8× 65 0.7× 53 0.7× 63 0.9× 22 312
Bingkun K. Chen 203 1.1× 152 1.5× 102 1.1× 67 0.9× 61 0.9× 14 315
Vanessa M. Doulames 150 0.8× 105 1.0× 69 0.8× 54 0.7× 56 0.8× 12 360
I. Cortés Maldonado 124 0.6× 113 1.1× 79 0.9× 61 0.8× 52 0.8× 10 295
Nikunj Agrawal 107 0.6× 93 0.9× 67 0.7× 71 0.9× 117 1.7× 12 323
Krisztián Pajer 176 0.9× 103 1.0× 83 0.9× 28 0.4× 21 0.3× 21 361
Megan M. Marlow 98 0.5× 83 0.8× 83 0.9× 57 0.8× 53 0.8× 6 323
Gonghai Han 192 1.0× 22 0.2× 88 1.0× 58 0.8× 48 0.7× 10 326
Aline Barroso Spejo 167 0.9× 92 0.9× 77 0.8× 21 0.3× 20 0.3× 13 323

Countries citing papers authored by Magdalini Tsintou

Since Specialization
Citations

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

Fields of papers citing papers by Magdalini Tsintou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magdalini Tsintou

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