R. De Notaris

17 total papers · 976 total citations
15 papers, 743 citations indexed

About

R. De Notaris is a scholar working on Neurology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, R. De Notaris has authored 15 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in R. De Notaris's work include Parkinson's Disease Mechanisms and Treatments (10 papers), Neurological disorders and treatments (9 papers) and Obesity, Physical Activity, Diet (4 papers). R. De Notaris is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (10 papers), Neurological disorders and treatments (9 papers) and Obesity, Physical Activity, Diet (4 papers). R. De Notaris collaborates with scholars based in Italy, United States and Netherlands. R. De Notaris's co-authors include Gianni Pezzoli, Angelo Antonini, Riccardo Benti, Margherita Canesi, Enrica Riva, Giovanni Radaelli, Carlo Agostoni, N. Meucci, Giorgio Sacilotto and M Giovannini and has published in prestigious journals such as International Journal of Obesity, Movement Disorders and American Journal of Neuroradiology.

In The Last Decade

R. De Notaris

15 papers receiving 713 citations

Author Peers

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

Author						Papers	Cites
R. De Notaris	468	193	153	124	88	15	743
Miguel Ángel Sánchez-González	247 0.5×	342 1.8×	148 1.0×	45 0.4×	101 1.1×	17	845
Valentina Nicoletti	423 0.9×	157 0.8×	118 0.8×	87 0.7×	43 0.5×	21	711
David Lahna	141 0.3×	195 1.0×	51 0.3×	92 0.7×	67 0.8×	26	722
Deanne L. Heath	491 1.0×	114 0.6×	39 0.3×	66 0.5×	79 0.9×	25	810
Cícero Galli Coimbra	180 0.4×	148 0.8×	67 0.4×	106 0.9×	150 1.7×	18	843
Ami Rosen	503 1.1×	175 0.9×	27 0.2×	128 1.0×	64 0.7×	23	827
Gotthard G. Tribl	300 0.6×	127 0.7×	21 0.1×	79 0.6×	53 0.6×	22	890
A. F. J. Maloney	141 0.3×	208 1.1×	160 1.0×	229 1.8×	101 1.1×	21	691
Lawrence P. Bernstein	327 0.7×	159 0.8×	43 0.3×	181 1.5×	62 0.7×	18	802
Howard Tung	384 0.8×	149 0.8×	51 0.3×	54 0.4×	35 0.4×	20	829

Countries citing papers authored by R. De Notaris

Since Specialization

Citations

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

Fields of papers citing papers by R. De Notaris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. De Notaris. 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 R. De Notaris. The network helps show where R. De Notaris may publish in the future.

Co-authorship network of co-authors of R. De Notaris

This figure shows the co-authorship network connecting the top 25 collaborators of R. De Notaris. A scholar is included among the top collaborators of R. De Notaris 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 R. De Notaris. R. De Notaris 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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