Patrizia Rubini

2.3k citations
66 papers · 1.7k · h-index 23

Impact in

Papers in

    • Adenosine and Purinergic Signaling 31
    • Pain Mechanisms and Treatments 5

Patrizia Rubini

62 papers receiving 1.7k citations

Peers

Patrizia Rubini
Comparison fields: 5 of 100
  • Physiology 642
  • Biological Psychiatry 150
  • Neurology 288
  • Endocrine and Autonomic Systems 226
  • Developmental Neuroscience 74
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Jane P. Hughes United Kingdom
Keisuke Shibata Japan
Marian T. Namovic United States
Tadanori Ogata Japan
Sadako Kuno Japan
Madhuvika Murugan United States
Kurt M. Lucin United States
Hans H. Dietrich United States
Yasuhiro Okada Japan
Xiang Luo China
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Citations per year

Countries citing papers authored by Patrizia Rubini

Since Specialization
Citations

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

Fields of papers citing papers by Patrizia Rubini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrizia Rubini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrizia Rubini Line = papers co-authored together Patrizia Rubini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020152
2 2017136
3 2003117
4 2005113
5 198198
6 201667
7 201157
8 200254
9 201354
10 202152
11 200051
12 201549
13 200748
14 198148
15 200947
16 201843
17 201841
18 200739
19 201038
20 201938

About Patrizia Rubini

Patrizia Rubini is a scholar working on Physiology, Surgery, Endocrine and Autonomic Systems, Molecular Biology and Cellular and Molecular Neuroscience, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (31 papers), Neuroscience of respiration and sleep (14 papers), Tryptophan and brain disorders (7 papers), Genetics and Neurodevelopmental Disorders (6 papers), Pharmacological Receptor Mechanisms and Effects (5 papers), Pain Mechanisms and Treatments (5 papers), Neuroendocrine regulation and behavior (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Physiology (642 citations), Biological Psychiatry (150 citations), Neurology (288 citations), Endocrine and Autonomic Systems (226 citations) and Developmental Neuroscience (74 citations). Patrizia Rubini has collaborated with scholars based in Germany, Italy and China. Frequent co-authors include Péter Illés, Yong Tang, Rüdiger Schulz, Michael Wüster, Haiyan Yin, Yafei Zhao, Henning Ulrich, Leo H. Bonati, Paolo Biglioli and Aldo Cannata. Their work appears in journals such as The Annals of Thoracic Surgery, World Journal of Surgery, Journal of Biological Chemistry, Neuroscience Bulletin and British Journal of Pharmacology.

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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