Matthew DiMagno

152 total papers · 1.8k total citations
51 papers, 1.0k citations indexed

About

Matthew DiMagno is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matthew DiMagno has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Surgery, 24 papers in Oncology and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matthew DiMagno's work include Pancreatitis Pathology and Treatment (34 papers), Pancreatic and Hepatic Oncology Research (24 papers) and Gastrointestinal disorders and treatments (18 papers). Matthew DiMagno is often cited by papers focused on Pancreatitis Pathology and Treatment (34 papers), Pancreatic and Hepatic Oncology Research (24 papers) and Gastrointestinal disorders and treatments (18 papers). Matthew DiMagno collaborates with scholars based in United States, United Kingdom and Canada. Matthew DiMagno's co-authors include Eugene P. DiMagno, John A. Williams, Alan Barkun, Chris E. Forsmark, Myriam Martel, Santhi Swaroop Vege, Chung Owyang, Yibai Hao, Stephen A. Ernst and Philip Schoenfeld and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Gastroenterology and The American Journal of Gastroenterology.

In The Last Decade

Matthew DiMagno

47 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Matthew DiMagno 846 456 250 144 110 51 1.0k
Luís Sabater 750 0.9× 599 1.3× 435 1.7× 210 1.5× 139 1.3× 70 1.2k
M. Ventrucci 605 0.7× 395 0.9× 120 0.5× 169 1.2× 76 0.7× 55 870
G Glazer 740 0.9× 464 1.0× 211 0.8× 225 1.6× 102 0.9× 34 1.2k
A. Borgström 802 0.9× 553 1.2× 128 0.5× 176 1.2× 113 1.0× 47 1.1k
Lívia Archibugi 453 0.5× 563 1.2× 186 0.7× 187 1.3× 96 0.9× 65 820
Anders Borgström 678 0.8× 418 0.9× 148 0.6× 159 1.1× 103 0.9× 58 932
Dieter Jüngst 602 0.7× 276 0.6× 397 1.6× 291 2.0× 142 1.3× 65 1.2k
T.C. Northfield 581 0.7× 348 0.8× 360 1.4× 269 1.9× 97 0.9× 50 1.2k
Lihui Deng 703 0.8× 362 0.8× 124 0.5× 161 1.1× 115 1.0× 59 901
A.-H. Kwon 400 0.5× 293 0.6× 263 1.1× 286 2.0× 94 0.9× 43 1.0k

Countries citing papers authored by Matthew DiMagno

Since Specialization
Citations

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

Fields of papers citing papers by Matthew DiMagno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew DiMagno

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