Beatrice Riva

45 total papers · 509 total citations
26 papers, 401 citations indexed

About

Beatrice Riva is a scholar working on Sensory Systems, Molecular Biology and Oncology. According to data from OpenAlex, Beatrice Riva has authored 26 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sensory Systems, 9 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Beatrice Riva's work include Ion Channels and Receptors (9 papers), Cancer Treatment and Pharmacology (6 papers) and Ion channel regulation and function (5 papers). Beatrice Riva is often cited by papers focused on Ion Channels and Receptors (9 papers), Cancer Treatment and Pharmacology (6 papers) and Ion channel regulation and function (5 papers). Beatrice Riva collaborates with scholars based in Italy, United States and France. Beatrice Riva's co-authors include Armando A. Genazzani, Gabriella Malfatto, Mario Facchini, Giovanna Branzi, Luca Sala, Guido Cavaletti, Gastone Leonetti, Dmitry Lim, A Chiorazzi and E Ballarini and has published in prestigious journals such as PLoS ONE, Scientific Reports and Pain.

In The Last Decade

Beatrice Riva

25 papers receiving 393 citations

Author Peers

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

Author						Papers	Cites
Beatrice Riva	127	122	102	86	63	26	401
Kelly Conlon	105 0.8×	63 0.5×	29 0.3×	152 1.8×	43 0.7×	19	423
Bernhard Doleschal	144 1.1×	176 1.4×	77 0.8×	95 1.1×	71 1.1×	23	446
Carsten Stoetzer	136 1.1×	42 0.3×	38 0.4×	61 0.7×	94 1.5×	20	396
Fenye Liu	107 0.8×	72 0.6×	27 0.3×	36 0.4×	16 0.3×	20	419
William Antônio Gonçalves	127 1.0×	24 0.2×	30 0.3×	18 0.2×	45 0.7×	19	417
M. Großmann	100 0.8×	19 0.2×	39 0.4×	49 0.6×	16 0.3×	25	422
Rupal P. Soder	215 1.7×	137 1.1×	18 0.2×	59 0.7×	29 0.5×	19	397
Sandra Labocha	180 1.4×	67 0.5×	26 0.3×	26 0.3×	42 0.7×	18	428
Tamio Hagiwara	123 1.0×	111 0.9×	35 0.3×	61 0.7×	17 0.3×	22	431
Clive Ellory	288 2.3×	26 0.2×	17 0.2×	59 0.7×	90 1.4×	20	426

Countries citing papers authored by Beatrice Riva

Since Specialization

Citations

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

Fields of papers citing papers by Beatrice Riva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatrice Riva

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