Mario Scrima

51 total papers · 992 total citations
42 papers, 849 citations indexed

About

Mario Scrima is a scholar working on Molecular Biology, Organic Chemistry and Physiology. According to data from OpenAlex, Mario Scrima has authored 42 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 11 papers in Organic Chemistry and 9 papers in Physiology. Recurrent topics in Mario Scrima's work include Alzheimer's disease research and treatments (8 papers), Click Chemistry and Applications (7 papers) and Lipid Membrane Structure and Behavior (6 papers). Mario Scrima is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Click Chemistry and Applications (7 papers) and Lipid Membrane Structure and Behavior (6 papers). Mario Scrima collaborates with scholars based in Italy, United States and France. Mario Scrima's co-authors include Anna Maria D’Ursi, Paolo Rovero, Anna Maria Papini, Michael Chorev, Manuela Grimaldi, Ettore Novellino, Richard D. DiMarchi, José A. Halperin, Sonia Cantel and Jay J. Levy and has published in prestigious journals such as PLoS ONE, The Journal of Physical Chemistry B and Biochemistry.

In The Last Decade

Mario Scrima

42 papers receiving 832 citations

Author Peers

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

Author Last Decade Papers Cites
Mario Scrima 572 286 108 89 80 42 849
Xicheng Sun 713 1.2× 383 1.3× 122 1.1× 76 0.9× 65 0.8× 30 1.0k
Justin K. Murray 790 1.4× 314 1.1× 62 0.6× 93 1.0× 49 0.6× 24 936
Yong-Uk Kwon 686 1.2× 389 1.4× 71 0.7× 50 0.6× 35 0.4× 26 959
Raffaele Ingenito 605 1.1× 256 0.9× 191 1.8× 113 1.3× 44 0.6× 21 1.1k
W. Mei Kok 445 0.8× 144 0.5× 223 2.1× 61 0.7× 61 0.8× 20 724
Naoki Sakura 483 0.8× 97 0.3× 104 1.0× 138 1.6× 137 1.7× 75 988
Kathrin Bellmann‐Sickert 606 1.1× 122 0.4× 60 0.6× 116 1.3× 35 0.4× 30 916
Robert Hopewell 450 0.8× 120 0.4× 207 1.9× 98 1.1× 81 1.0× 25 869
Daniel Clayton 531 0.9× 158 0.6× 35 0.3× 163 1.8× 42 0.5× 38 850
Ignacy Z. Siemion 641 1.1× 179 0.6× 38 0.4× 115 1.3× 115 1.4× 71 991

Countries citing papers authored by Mario Scrima

Since Specialization
Citations

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

Fields of papers citing papers by Mario Scrima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Scrima

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