Carla Marchioro

1.5k total citations
60 papers, 933 citations indexed

About

Carla Marchioro is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Carla Marchioro has authored 60 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 31 papers in Organic Chemistry and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Carla Marchioro's work include Chemical Synthesis and Analysis (11 papers), Neuroscience and Neuropharmacology Research (11 papers) and Receptor Mechanisms and Signaling (11 papers). Carla Marchioro is often cited by papers focused on Chemical Synthesis and Analysis (11 papers), Neuroscience and Neuropharmacology Research (11 papers) and Receptor Mechanisms and Signaling (11 papers). Carla Marchioro collaborates with scholars based in Italy, United Kingdom and United States. Carla Marchioro's co-authors include Ottorino De Lucchi, Vittorio Lucchini, G. Valle, Daniele Donati, Giorgio Modena, Tino Rossi, Russell J. Thomas, G. MODENA, Stefano Provera and Romano Di Fabio and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and Journal of Lipid Research.

In The Last Decade

Carla Marchioro

58 papers receiving 861 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carla Marchioro Italy 17 598 350 103 102 58 60 933
Yong‐Jin Wu United States 19 714 1.2× 265 0.8× 37 0.4× 69 0.7× 60 1.0× 57 960
Marek Cegła Poland 18 549 0.9× 268 0.8× 59 0.6× 80 0.8× 35 0.6× 53 829
G. Kumaravel United States 18 518 0.9× 575 1.6× 95 0.9× 67 0.7× 34 0.6× 36 975
Ronald C. Bernotas United States 19 951 1.6× 549 1.6× 52 0.5× 75 0.7× 66 1.1× 43 1.2k
Grant McNaughton‐Smith Spain 15 752 1.3× 879 2.5× 54 0.5× 210 2.1× 49 0.8× 27 1.3k
Peter E. Cross United Kingdom 17 441 0.7× 442 1.3× 86 0.8× 106 1.0× 62 1.1× 33 1.1k
Paul A. Stupple United Kingdom 13 818 1.4× 320 0.9× 31 0.3× 95 0.9× 110 1.9× 23 1.2k
Miles G. Siegel United States 11 390 0.7× 492 1.4× 90 0.9× 38 0.4× 43 0.7× 22 812
Graham A. Showell United Kingdom 18 913 1.5× 474 1.4× 47 0.5× 150 1.5× 134 2.3× 34 1.4k
Yong Seo Cho South Korea 22 809 1.4× 578 1.7× 49 0.5× 126 1.2× 73 1.3× 92 1.3k

Countries citing papers authored by Carla Marchioro

Since Specialization
Citations

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

Fields of papers citing papers by Carla Marchioro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carla Marchioro

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

All Works

20 of 20 papers shown
1.
Fabio, Romano Di, Giuseppe Alvaro, Simone Braggio, et al.. (2013). Identification, biological characterization and pharmacophoric analysis of a new potent and selective NK1 receptor antagonist clinical candidate. Bioorganic & Medicinal Chemistry. 21(21). 6264–6273. 19 indexed citations
2.
Roberts, Karen, Antonella Ursini, Robert J. Barnaby, et al.. (2011). Synthesis and structure–activity relationship of new 1,5-dialkyl-1,5-benzodiazepines as cholecystokinin-2 receptor antagonists. Bioorganic & Medicinal Chemistry. 19(14). 4257–4273. 13 indexed citations
3.
Provera, Stefano, et al.. (2010). NMR spectroscopy and surface tension measurements applied to the study of self-association of casopitant mesylate, a novel NK1 antagonist. Journal of Pharmaceutical and Biomedical Analysis. 54(1). 48–52. 1 indexed citations
4.
Provera, Stefano, et al.. (2010). Application of LC-NMR and HR-NMR to the characterization of biphenyl impurities in the synthetic route development for vestipitant, a novel NK1 antagonist. Journal of Pharmaceutical and Biomedical Analysis. 53(3). 389–395. 7 indexed citations
5.
Bonanomi, Giorgio, Simone Braggio, Anna Maria Capelli, et al.. (2010). Triazolyl Azabicyclo[3.1.0]hexanes: a Class of Potent and Selective Dopamine D3 Receptor Antagonists. ChemMedChem. 5(5). 705–715. 16 indexed citations
6.
Micheli, Fabrizio, Paolo Cavanni, Romano Di Fabio, et al.. (2005). From pyrroles to pyrrolo[1,2-a]pyrazinones: A new class of mGluR1 antagonists. Bioorganic & Medicinal Chemistry Letters. 16(5). 1342–1345. 10 indexed citations
7.
Micheli, Fabrizio, Romano Di Fabio, Paolo Cavanni, et al.. (2003). 2,4-Dicarboxy-pyrroles as selective non-competitive mGluR1 antagonists: an exploration of the role of the pyrrolic scaffold. Il Farmaco. 58(10). 1005–1009. 5 indexed citations
8.
Marchioro, Carla, et al.. (2002). Analytical methods for the monitoring of solid phase organic synthesis. Il Farmaco. 57(6). 497–510. 13 indexed citations
9.
Micheli, Fabrizio, Romano Di Fabio, Anna Maria Capelli, et al.. (1999). Cycloalkyl Indole-2-Carboxylates as Useful Tools for Mapping the "North-Eastern" Region of the Glycine Binding Site Associated with the NMDA Receptor. Archiv der Pharmazie. 332(3). 73–80. 8 indexed citations
10.
Micheli, Fabrizio, Romano Di Fabio, Carla Marchioro, et al.. (1999). Substituted Indole-2-carboxylates as Potent Antagonists of the Glycine Binding Site Associated with the NMDA Receptor. Archiv der Pharmazie. 332(8). 271–278. 9 indexed citations
11.
Pecunioso, Angelo, et al.. (1998). Determination of the absolute configuration of an unexpectedly stable N-silylated isomer isolated en route to the trinem antibiotic GV129606. Tetrahedron Asymmetry. 9(16). 2787–2790. 2 indexed citations
12.
Marchioro, Carla, et al.. (1998). In vivometabolism of a novel cholecystokinin B (CCK-B) antagonist in rat and dog plasma and rat faeces. Xenobiotica. 28(8). 785–794. 2 indexed citations
13.
Padova, Alessandro, Stanley M. Roberts, Daniele Donati, Carla Marchioro, & Alcide Perboni. (1996). Synthesis of a novel fluoro-tribactam utilising an N-fluorosulfonimide in the key step. Tetrahedron. 52(1). 263–270. 14 indexed citations
14.
15.
Donati, Daniele, et al.. (1996). Conformationally constrained tryptophan analogs. Synthesis of (±)-(Z)- and (±)-(E)-2-amino-2,3-methano-3-(indol-3-yl)-propanoic acids. Tetrahedron. 52(29). 9901–9908. 17 indexed citations
16.
17.
Sadeghpour, Bahman M., et al.. (1995). Synthesis of 6β-methoxy-6α-hydroxymethylpenems. Tetrahedron. 51(39). 10723–10730.
18.
Zancanaro, Carlo, Rita Nano, Carla Marchioro, et al.. (1994). Magnetic resonance spectroscopy investigations of brown adipose tissue and isolated brown adipocytes.. Journal of Lipid Research. 35(12). 2191–2199. 56 indexed citations
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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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