Nadia Bernardini

624 total citations
7 papers, 366 citations indexed

About

Nadia Bernardini is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Nadia Bernardini has authored 7 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in Nadia Bernardini's work include Pain Mechanisms and Treatments (4 papers), Receptor Mechanisms and Signaling (4 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). Nadia Bernardini is often cited by papers focused on Pain Mechanisms and Treatments (4 papers), Receptor Mechanisms and Signaling (4 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). Nadia Bernardini collaborates with scholars based in Germany, United States and Italy. Nadia Bernardini's co-authors include Peter W. Reeh, Susanne K. Sauer, Rainer Haberberger, Jürgen Wess, Jesús Gomeza, Michael J. M. Fischer, Weilie Zhang, Alokesh Duttaroy, Michaela Kress and Petra Hartmann and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurochemistry and Life Sciences.

In The Last Decade

Nadia Bernardini

7 papers receiving 354 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nadia Bernardini Germany 7 214 179 160 63 36 7 366
Tuan Trang Canada 6 260 1.2× 176 1.0× 293 1.8× 69 1.1× 39 1.1× 6 512
Tal Hoffmann Germany 11 193 0.9× 172 1.0× 259 1.6× 107 1.7× 23 0.6× 19 483
Hisashi Koda Japan 12 116 0.5× 164 0.9× 234 1.5× 78 1.2× 49 1.4× 17 351
S D Collins United Kingdom 7 148 0.7× 160 0.9× 262 1.6× 43 0.7× 66 1.8× 14 452
Toshifumi Takasusuki Japan 9 116 0.5× 115 0.6× 195 1.2× 65 1.0× 23 0.6× 22 327
S. Carlton United States 6 159 0.7× 227 1.3× 275 1.7× 29 0.5× 51 1.4× 13 438
Vincent Cibert‐Goton United Kingdom 11 134 0.6× 128 0.7× 203 1.3× 87 1.4× 24 0.7× 15 448
Ivan Rivera‐Arconada Spain 12 239 1.1× 220 1.2× 246 1.5× 31 0.5× 36 1.0× 22 423
Jin-ichi Kobayashi Japan 6 233 1.1× 175 1.0× 237 1.5× 139 2.2× 20 0.6× 9 404
Inge Petter Kleggetveit Norway 12 110 0.5× 134 0.7× 362 2.3× 77 1.2× 86 2.4× 20 499

Countries citing papers authored by Nadia Bernardini

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Bernardini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Bernardini

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Bernardini. A scholar is included among the top collaborators of Nadia Bernardini 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 Nadia Bernardini. Nadia Bernardini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Gambera, Alessandro, Carlo Bastianelli, Sandra Bucciantini, et al.. (2015). Observational, prospective, multicentre study to evaluate the effects of counselling on the choice of combined hormonal contraceptives in Italy—the ECOS (Educational COunselling effectS) study. BMC Women s Health. 15(1). 69–69. 7 indexed citations
2.
Haberberger, Rainer, Nadia Bernardini, Michaela Kress, et al.. (2004). Nicotinic acetylcholine receptor subtypes in nociceptive dorsal root ganglion neurons of the adult rat. Autonomic Neuroscience. 113(1-2). 32–42. 68 indexed citations
3.
Bernardini, Nadia, Giulio Srubek Tomassy, Ada Maria Tata, Gabriella Augusti‐Tocco, & Stefano Biagioni. (2004). Detection of basal and potassium‐evoked acetylcholine release from embryonic DRG explants. Journal of Neurochemistry. 88(6). 1533–1539. 24 indexed citations
4.
Wess, Jürgen, Alokesh Duttaroy, Jesús Gomeza, et al.. (2003). Muscarinic receptor subtypes mediating central and peripheral antinociception studied with muscarinic receptor knockout mice. Life Sciences. 72(18-19). 2047–2054. 85 indexed citations
5.
Bernardini, Nadia, Carolina Roza, Susanne K. Sauer, et al.. (2002). Muscarinic M2 Receptors on Peripheral Nerve Endings: A Molecular Target of Antinociception. Journal of Neuroscience. 22(12). RC229–RC229. 62 indexed citations
6.
Bernardini, Nadia, Peter W. Reeh, & Susanne K. Sauer. (2001). Muscarinic M2 receptors inhibit heat-induced CGRP release from isolated rat skin. Neuroreport. 12(11). 2457–2460. 36 indexed citations
7.
Bernardini, Nadia, Susanne K. Sauer, Rainer Haberberger, Michael J. M. Fischer, & Peter W. Reeh. (2001). Excitatory Nicotinic and Desensitizing Muscarinic (M2) Effects on C-Nociceptors in Isolated Rat Skin. Journal of Neuroscience. 21(9). 3295–3302. 84 indexed citations

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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