María Tintoré

34 total papers · 511 total citations
21 papers, 384 citations indexed

About

María Tintoré is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biochemistry. According to data from OpenAlex, María Tintoré has authored 21 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Biochemistry. Recurrent topics in María Tintoré's work include Advanced biosensing and bioanalysis techniques (8 papers), Genetic Neurodegenerative Diseases (5 papers) and RNA Interference and Gene Delivery (5 papers). María Tintoré is often cited by papers focused on Advanced biosensing and bioanalysis techniques (8 papers), Genetic Neurodegenerative Diseases (5 papers) and RNA Interference and Gene Delivery (5 papers). María Tintoré collaborates with scholars based in Spain, United States and Italy. María Tintoré's co-authors include Ramón Eritja, Carme Fàbrega, Anna Aviñó, Isaac Gállego, Brendan D. Manning, José Gazulla, Luís E. Pablo, José Berciano, Pedro J. Modrego and Filippo M. Santorelli and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

María Tintoré

20 papers receiving 377 citations

Author Peers

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

Author Last Decade Papers Cites
María Tintoré 315 64 59 27 18 21 384
Sathya Srinivasan 283 0.9× 120 1.9× 39 0.7× 29 1.1× 9 0.5× 18 429
Jonathan Pansieri 211 0.7× 33 0.5× 26 0.4× 35 1.3× 26 1.4× 20 436
M. P. Valikhov 129 0.4× 99 1.5× 76 1.3× 25 0.9× 33 1.8× 36 414
Jung‐Hyun Na 219 0.7× 51 0.8× 27 0.5× 6 0.2× 20 1.1× 32 372
Lee Bendickson 183 0.6× 34 0.5× 31 0.5× 46 1.7× 95 5.3× 17 408
Xinpu Hou 175 0.6× 68 1.1× 39 0.7× 23 0.9× 8 0.4× 16 384
Vanessa Chang 248 0.8× 21 0.3× 114 1.9× 20 0.7× 11 0.6× 11 344
Melissa Hewitt 172 0.5× 46 0.7× 90 1.5× 67 2.5× 38 2.1× 24 431
Mohamed H. Ali 191 0.6× 56 0.9× 24 0.4× 11 0.4× 17 0.9× 14 338
Linas Padegimas 259 0.8× 55 0.9× 127 2.2× 21 0.8× 12 0.7× 24 413

Countries citing papers authored by María Tintoré

Since Specialization
Citations

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

Fields of papers citing papers by María Tintoré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Tintoré

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