T. Martino

15 total papers · 482 total citations
5 papers, 66 citations indexed

About

T. Martino is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, T. Martino has authored 5 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in T. Martino's work include Genetic Neurodegenerative Diseases (2 papers), Neurological disorders and treatments (2 papers) and Sirtuins and Resveratrol in Medicine (1 paper). T. Martino is often cited by papers focused on Genetic Neurodegenerative Diseases (2 papers), Neurological disorders and treatments (2 papers) and Sirtuins and Resveratrol in Medicine (1 paper). T. Martino collaborates with scholars based in Italy, United States and United Kingdom. T. Martino's co-authors include L. Frati, Vittorio Maglione, Patrizia Giallonardo, Ferdinando Squitieri, Milena Cannella, Luigi Vimercati, Giorgio Assennato, Francesco Caputo, Alessandro Dell’Erba and Andrea Ciarmiello and has published in prestigious journals such as Arthritis & Rheumatology, American Journal of Medical Genetics Part B Neuropsychiatric Genetics and Neurological Sciences.

In The Last Decade

T. Martino

5 papers receiving 65 citations

Author Peers

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

Author Last Decade Papers Cites
T. Martino 23 21 17 16 9 5 66
Laurie‐Anne Dion 42 1.8× 30 1.4× 49 2.9× 9 0.6× 10 1.1× 6 215
David Chian 6 0.3× 40 1.9× 47 2.8× 14 0.9× 8 0.9× 4 239
Sabrina Sayah 19 0.8× 16 0.8× 3 0.2× 15 0.9× 5 0.6× 6 59
Abdelilah Assialioui 9 0.4× 13 0.6× 3 0.2× 29 1.8× 7 0.8× 6 48
Allison Eckert 28 1.2× 23 1.1× 11 0.6× 7 0.4× 10 1.1× 6 100
Maurice Stanley 7 0.3× 33 1.6× 25 1.5× 12 0.8× 4 0.4× 10 229
Kate Goasdoué 21 0.9× 77 3.7× 18 1.1× 10 0.6× 29 3.2× 7 247
Reina Desrouleaux 7 0.3× 73 3.5× 4 0.2× 6 0.4× 23 2.6× 6 224
Ryan A. Szeto 41 1.8× 113 5.4× 4 0.2× 23 1.4× 16 1.8× 6 215
Beiqing Wu 13 0.6× 82 3.9× 89 5.2× 6 0.4× 50 5.6× 7 239

Countries citing papers authored by T. Martino

Since Specialization
Citations

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

Fields of papers citing papers by T. Martino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Martino

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