Gabriella Ortore

80 total papers · 967 total citations
53 papers, 789 citations indexed

About

Gabriella Ortore is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Gabriella Ortore has authored 53 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 15 papers in Organic Chemistry and 12 papers in Computational Theory and Mathematics. Recurrent topics in Gabriella Ortore's work include Receptor Mechanisms and Signaling (16 papers), Pharmacological Receptor Mechanisms and Effects (12 papers) and Computational Drug Discovery Methods (12 papers). Gabriella Ortore is often cited by papers focused on Receptor Mechanisms and Signaling (16 papers), Pharmacological Receptor Mechanisms and Effects (12 papers) and Computational Drug Discovery Methods (12 papers). Gabriella Ortore collaborates with scholars based in Italy, United States and Canada. Gabriella Ortore's co-authors include Adriano Martinelli, Tiziano Tuccinardi, Armando Rossello, Clementina Manera, Elisabetta Orlandini, Giuseppe Saccomanni, Filippo Minutolo, Pier Luigi Ferrarini, Elisa Nuti and Marco Macchia and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Gabriella Ortore

51 papers receiving 774 citations

Author Peers

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

Author						Papers	Cites
Gabriella Ortore	515	241	162	146	135	53	789
Daniele Pala	459 0.9×	216 0.9×	78 0.5×	108 0.7×	271 2.0×	37	859
Stefania Baraldi	393 0.8×	367 1.5×	115 0.7×	43 0.3×	104 0.8×	29	897
Dennis Colussi	326 0.6×	233 1.0×	129 0.8×	213 1.5×	38 0.3×	44	821
Michael K. Ameriks	341 0.7×	246 1.0×	49 0.3×	172 1.2×	96 0.7×	21	703
Vı́ctor Segarra	384 0.7×	498 2.1×	149 0.9×	82 0.6×	30 0.2×	41	893
Gunnar Nordvall	496 1.0×	193 0.8×	70 0.4×	72 0.5×	355 2.6×	44	805
Daryl S. Walter	216 0.4×	366 1.5×	107 0.7×	67 0.5×	50 0.4×	39	734
Andy Merritt	427 0.8×	223 0.9×	88 0.5×	172 1.2×	95 0.7×	32	811
Martin Lochner	489 0.9×	158 0.7×	42 0.3×	27 0.2×	201 1.5×	47	861
Letizia Crocetti	464 0.9×	303 1.3×	119 0.7×	57 0.4×	70 0.5×	63	863

Countries citing papers authored by Gabriella Ortore

Since Specialization

Citations

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

Fields of papers citing papers by Gabriella Ortore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriella Ortore

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