Mario DeLuise

21 total papers · 626 total citations
16 papers, 518 citations indexed

About

Mario DeLuise is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Mario DeLuise has authored 16 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Physiology. Recurrent topics in Mario DeLuise's work include Ion Transport and Channel Regulation (5 papers), Erythrocyte Function and Pathophysiology (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). Mario DeLuise is often cited by papers focused on Ion Transport and Channel Regulation (5 papers), Erythrocyte Function and Pathophysiology (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). Mario DeLuise collaborates with scholars based in Australia, United States and United Kingdom. Mario DeLuise's co-authors include Jeffrey S. Flier, John P. Parisot, John Zalcberg, Xiangdong Hu, David M. Findlay, Morag L. Ellison, V. P. Michelangeli, T. John Martin, Ego Seeman and Sianna Panagiotopoulos and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Mario DeLuise

16 papers receiving 477 citations

Author Peers

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

Author						Papers	Cites
Mario DeLuise	280	179	106	81	73	16	518
Ji Ho Suh	297 1.1×	107 0.6×	58 0.5×	128 1.6×	65 0.9×	27	535
Monica Florio	369 1.3×	170 0.9×	78 0.7×	50 0.6×	30 0.4×	13	563
Elizabeth A. Killion	241 0.9×	217 1.2×	83 0.8×	41 0.5×	27 0.4×	15	520
Kai Hu	252 0.9×	181 1.0×	61 0.6×	188 2.3×	51 0.7×	16	615
Shaonin Ji	293 1.0×	129 0.7×	122 1.2×	58 0.7×	53 0.7×	14	564
Talat Afroze	261 0.9×	142 0.8×	71 0.7×	32 0.4×	28 0.4×	20	511
Yasutaka Takeda	170 0.6×	231 1.3×	73 0.7×	55 0.7×	35 0.5×	20	450
Edra London	211 0.8×	136 0.8×	108 1.0×	55 0.7×	42 0.6×	26	463
Ning-Chun Liu	305 1.1×	196 1.1×	127 1.2×	106 1.3×	24 0.3×	13	613
Leila Shobab	145 0.5×	114 0.6×	144 1.4×	38 0.5×	55 0.8×	14	500

Countries citing papers authored by Mario DeLuise

Since Specialization

Citations

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

Fields of papers citing papers by Mario DeLuise

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario DeLuise

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