Mario DiPaola

24 total papers · 685 total citations
17 papers, 553 citations indexed

About

Mario DiPaola is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Mario DiPaola has authored 17 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Immunology. Recurrent topics in Mario DiPaola's work include Nicotinic Acetylcholine Receptors Study (6 papers), Receptor Mechanisms and Signaling (4 papers) and Ion channel regulation and function (3 papers). Mario DiPaola is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (6 papers), Receptor Mechanisms and Signaling (4 papers) and Ion channel regulation and function (3 papers). Mario DiPaola collaborates with scholars based in United States, Russia and France. Mario DiPaola's co-authors include Frederick R. Maxfield, Arthur Karlin, Charles Keith, Michael L. Shelanski, Peter N. Kao, Cynthia Czajkowski, Robert N. Cox, Benjamin Tycko, Darrell J. Yamashiro and Eric Holtzman and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and International Journal of Molecular Sciences.

In The Last Decade

Mario DiPaola

16 papers receiving 519 citations

Author Peers

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

Author						Papers	Cites
Mario DiPaola	456	129	122	33	27	17	553
W. Ross Allen	370 0.8×	121 0.9×	58 0.5×	17 0.5×	29 1.1×	11	500
Michimoto Kobayashi	417 0.9×	100 0.8×	87 0.7×	38 1.2×	26 1.0×	14	621
Yoshiki Nishikawa	506 1.1×	151 1.2×	79 0.6×	22 0.7×	24 0.9×	16	593
Heidi M. Sampson	322 0.7×	170 1.3×	85 0.7×	49 1.5×	16 0.6×	10	631
Geneviève Laroche	374 0.8×	117 0.9×	93 0.8×	59 1.8×	42 1.6×	27	542
Lisa Gentile	414 0.9×	88 0.7×	51 0.4×	34 1.0×	28 1.0×	28	553
Gary B. Rosenberg	426 0.9×	127 1.0×	77 0.6×	53 1.6×	55 2.0×	15	639
C.G. Trowbridge	392 0.9×	119 0.9×	43 0.4×	18 0.5×	15 0.6×	26	604
Wayne P. Bowen	409 0.9×	79 0.6×	81 0.7×	18 0.5×	31 1.1×	16	601
Melinda D. Hains	492 1.1×	115 0.9×	106 0.9×	31 0.9×	37 1.4×	9	621

Countries citing papers authored by Mario DiPaola

Since Specialization

Citations

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

Fields of papers citing papers by Mario DiPaola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario DiPaola

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