Dylan V. Miller

28 total papers · 1.8k total citations
18 papers, 787 citations indexed

About

Dylan V. Miller is a scholar working on Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Dylan V. Miller has authored 18 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 4 papers in Molecular Biology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Dylan V. Miller's work include Transplantation: Methods and Outcomes (5 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Infective Endocarditis Diagnosis and Management (3 papers). Dylan V. Miller is often cited by papers focused on Transplantation: Methods and Outcomes (5 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Infective Endocarditis Diagnosis and Management (3 papers). Dylan V. Miller collaborates with scholars based in United States, France and Italy. Dylan V. Miller's co-authors include William D. Edwards, Paul G. Stalboerger, David Simper, Noel M. Caplice, Stephen J. Russell, Mark R. Litzow, Shaohua Wang, T. Jared Bunch, Caterina Giannini and Carlo Salvarani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and The American Journal of Surgical Pathology.

In The Last Decade

Dylan V. Miller

18 papers receiving 774 citations

Author Peers

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

Author Last Decade Papers Cites
Dylan V. Miller 260 257 239 146 124 18 787
Guy Brutel de la Rivière 197 0.8× 191 0.7× 183 0.8× 47 0.3× 23 0.2× 24 823
Markus Zeisbrich 59 0.2× 168 0.7× 148 0.6× 133 0.9× 32 0.3× 16 648
Kimberly L. Gandy 156 0.6× 85 0.3× 219 0.9× 24 0.2× 54 0.4× 32 790
Jort S.J. Gerritsma 117 0.5× 96 0.4× 141 0.6× 98 0.7× 19 0.2× 14 822
Annette H. Bruggink 409 1.6× 36 0.1× 118 0.5× 86 0.6× 133 1.1× 31 707
Jon M. Rowland 183 0.7× 367 1.4× 144 0.6× 122 0.8× 77 0.6× 21 674
Patricia P. Long 190 0.7× 91 0.4× 241 1.0× 57 0.4× 13 0.1× 22 774
Todd E. Heaton 196 0.8× 210 0.8× 217 0.9× 43 0.3× 18 0.1× 31 675
Marcus Stockschlaeder 202 0.8× 47 0.2× 196 0.8× 30 0.2× 81 0.7× 14 695
P Ramani 217 0.8× 215 0.8× 242 1.0× 151 1.0× 86 0.7× 34 895

Countries citing papers authored by Dylan V. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Dylan V. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dylan V. Miller. 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 Dylan V. Miller. The network helps show where Dylan V. Miller may publish in the future.

Co-authorship network of co-authors of Dylan V. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Dylan V. Miller. A scholar is included among the top collaborators of Dylan V. Miller 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 Dylan V. Miller. Dylan V. Miller 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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