Silvia Paoletta

2.6k citations
42 papers · 1.6k indexed · h-index 23

Silvia Paoletta

42 papers receiving 1.6k citations

Peers

Silvia Paoletta
Comparison fields: 5 of 92
  • Physiology 775
  • Cellular and Molecular Neuroscience 440
  • Molecular Biology 1.1k
  • Organic Chemistry 357
  • Computational Theory and Mathematics 131
Replace Philip J. M. van Galen with:
Philip J. M. van Galen United States
Pedro Besada Spain
Sheryl J. Hays United States
Aliaa Abdelrahman Germany
Dennis Church Switzerland
Iain G. Dougall United Kingdom
Ali El‐Tayeb Germany
M. Ohno Japan
Aishe Chen United States
Jutta Hegler Germany
Silvia Paoletta relative to Philip J. M. van Galen United States Philip J. M. van Galen's profile →
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Philip J. M. van Galen · 1×
Citations per year

Countries citing papers authored by Silvia Paoletta

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Paoletta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Silvia Paoletta, 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 Silvia Paoletta Line = papers co-authored together Silvia Paoletta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201617
2 201639
3 201525
4 201585
5 201543
6 2015286
7 201420
8 201439
9 2014264
10 20145
11 201416
12 201426
13 201243
14 201227
15 201235
16 201112
17 20112
18 20107
19 201027
20 200837

About Silvia Paoletta

Silvia Paoletta is a scholar working on Physiology, Toxicology and Molecular Biology, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (32 papers), Receptor Mechanisms and Signaling (29 papers), Pharmacological Receptor Mechanisms and Effects (16 papers), Click Chemistry and Applications (8 papers), Chemical Synthesis and Analysis (6 papers), Neuropeptides and Animal Physiology (5 papers), Synthesis and Biological Evaluation (3 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Physiology (775 citations), Cellular and Molecular Neuroscience (440 citations) and Molecular Biology (1.1k citations). Silvia Paoletta has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Kenneth A. Jacobson, Zhan‐Guo Gao, Qiang Zhao, Raymond C. Stevens, Vsevolod Katritch, Beili Wu, Stefano Moro, Evgeny Kiselev, Dilip K. Tosh and Kaihua Zhang. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, ACS Medicinal Chemistry Letters, Journal of Chemical Information and Modeling and Bioorganic & Medicinal Chemistry Letters.

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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