Sabrina Toro

61 total papers · 5.5k total citations
16 papers, 576 citations indexed

About

Sabrina Toro is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sabrina Toro has authored 16 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cell Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sabrina Toro's work include Biomedical Text Mining and Ontologies (7 papers), Zebrafish Biomedical Research Applications (5 papers) and Genetics, Bioinformatics, and Biomedical Research (4 papers). Sabrina Toro is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Zebrafish Biomedical Research Applications (5 papers) and Genetics, Bioinformatics, and Biomedical Research (4 papers). Sabrina Toro collaborates with scholars based in United States, Belgium and Switzerland. Sabrina Toro's co-authors include Monte Westerfield, Zoltán M. Varga, Kevin Schaper, Sridhar Ramachandran, Douglas G. Howe, Anne Eagle, Yvonne M. Bradford, Ryan Martin, Leyla Ruzicka and Patrick Kalita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Development.

In The Last Decade

Sabrina Toro

15 papers receiving 571 citations

Author Peers

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

Author						Papers	Cites
Sabrina Toro	353	183	88	66	47	16	576
Yuji Suehiro	344 1.0×	78 0.4×	95 1.1×	69 1.0×	32 0.7×	25	660
Takanori Ikenaga	339 1.0×	172 0.9×	42 0.5×	81 1.2×	44 0.9×	27	521
John H. Postlethwait	375 1.1×	128 0.7×	148 1.7×	65 1.0×	99 2.1×	8	621
Roberto Costa	356 1.0×	105 0.6×	74 0.8×	63 1.0×	47 1.0×	21	670
Daniel Lai	272 0.8×	143 0.8×	81 0.9×	43 0.7×	98 2.1×	5	547
K.A. Johnson	299 0.8×	110 0.6×	56 0.6×	49 0.7×	38 0.8×	26	669
Gianfranco Bellipanni	406 1.2×	179 1.0×	71 0.8×	102 1.5×	34 0.7×	26	587
Arish N Shah	387 1.1×	201 1.1×	94 1.1×	64 1.0×	75 1.6×	12	577
Dana F. DeSantis	440 1.2×	241 1.3×	97 1.1×	52 0.8×	41 0.9×	7	599
David Fashena	341 1.0×	172 0.9×	78 0.9×	52 0.8×	36 0.8×	12	546

Countries citing papers authored by Sabrina Toro

Since Specialization

Citations

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

Fields of papers citing papers by Sabrina Toro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabrina Toro

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