Marc Schiavone

24 total papers · 731 total citations
19 papers, 606 citations indexed

About

Marc Schiavone is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Marc Schiavone has authored 19 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Marc Schiavone's work include Neuropeptides and Animal Physiology (6 papers), Renin-Angiotensin System Studies (5 papers) and Receptor Mechanisms and Signaling (4 papers). Marc Schiavone is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Renin-Angiotensin System Studies (5 papers) and Receptor Mechanisms and Signaling (4 papers). Marc Schiavone collaborates with scholars based in United States, India and Australia. Marc Schiavone's co-authors include Carlos M. Ferrario, Robson A.S. Santos, K. Bridget Brosnihan, M. C. Khosla, S. M. Kirpekar, Sanjoy K. Bhattacharya, Subhamoy Bhattacharya, J. C. Prat, Mahesh C. Khosla and Subhra Chakrabarti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Brain Research and Hypertension.

In The Last Decade

Marc Schiavone

19 papers receiving 594 citations

Author Peers

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

Author Last Decade Papers Cites
Marc Schiavone 374 296 160 144 54 19 606
Véronique Brechler 381 1.0× 242 0.8× 141 0.9× 100 0.7× 24 0.4× 14 586
Simone Meffert 234 0.6× 338 1.1× 184 1.1× 212 1.5× 61 1.1× 11 598
C Bianchi 279 0.7× 357 1.2× 60 0.4× 85 0.6× 20 0.4× 21 660
Kyoji Urayama 286 0.8× 148 0.5× 102 0.6× 55 0.4× 16 0.3× 14 537
Keiichi Imagawa 192 0.5× 137 0.5× 81 0.5× 45 0.3× 28 0.5× 19 647
Manveen K. Gupta 331 0.9× 107 0.4× 19 0.1× 121 0.8× 23 0.4× 22 593
D. Hock 249 0.7× 332 1.1× 45 0.3× 76 0.5× 7 0.1× 20 681
Junping You 171 0.5× 121 0.4× 63 0.4× 116 0.8× 14 0.3× 20 629
Holly R. Yeatman 327 0.9× 112 0.4× 78 0.5× 245 1.7× 38 0.7× 15 572
F Leeb-Lundberg 279 0.7× 82 0.3× 49 0.3× 359 2.5× 45 0.8× 11 667

Countries citing papers authored by Marc Schiavone

Since Specialization
Citations

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

Fields of papers citing papers by Marc Schiavone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Schiavone

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Schiavone. A scholar is included among the top collaborators of Marc Schiavone 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 Marc Schiavone. Marc Schiavone 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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