Amber Miller

65 total papers · 1.0k total citations
29 papers, 705 citations indexed

About

Amber Miller is a scholar working on Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Amber Miller has authored 29 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 8 papers in Molecular Biology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Amber Miller's work include Virus-based gene therapy research (7 papers), Cardiac Arrhythmias and Treatments (6 papers) and Surgical site infection prevention (5 papers). Amber Miller is often cited by papers focused on Virus-based gene therapy research (7 papers), Cardiac Arrhythmias and Treatments (6 papers) and Surgical site infection prevention (5 papers). Amber Miller collaborates with scholars based in United States, United Kingdom and Australia. Amber Miller's co-authors include Stephen J. Russell, Kah Whye Peng, Daniel Auclair, Jonathan J. Keats, Esteban Braggio, A. Keith Stewart, Laura Cattaneo, Patricia Greenstein, Theresa A. Zesiewicz and Susan Perlman and has published in prestigious journals such as Nature Communications, Blood and Neurology.

In The Last Decade

Amber Miller

28 papers receiving 683 citations

Hit Papers

Safety and effectiveness ... 2025 2026 2025 4 8 12

Author Peers

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

Author Last Decade Papers Cites
Amber Miller 326 232 206 91 88 29 705
Maria Pia Cicalese 283 0.9× 113 0.5× 229 1.1× 97 1.1× 274 3.1× 31 818
Hiromitsu Okano 219 0.7× 145 0.6× 82 0.4× 72 0.8× 107 1.2× 26 741
Niek P. van Til 471 1.4× 170 0.7× 351 1.7× 97 1.1× 104 1.2× 44 873
Kim Stecker 476 1.5× 82 0.4× 144 0.7× 132 1.5× 169 1.9× 22 831
Yoji Ogasawara 431 1.3× 116 0.5× 216 1.0× 33 0.4× 152 1.7× 47 820
Wenwei Shao 341 1.0× 135 0.6× 178 0.9× 39 0.4× 230 2.6× 35 668
Dirk Hoffmann 488 1.5× 138 0.6× 192 0.9× 55 0.6× 182 2.1× 28 756
Paramjeet Singh 330 1.0× 275 1.2× 85 0.4× 111 1.2× 34 0.4× 26 740
Syeling Lai 257 0.8× 223 1.0× 83 0.4× 105 1.2× 53 0.6× 28 645
Alisha M. Gruntman 357 1.1× 109 0.5× 257 1.2× 138 1.5× 34 0.4× 34 694

Countries citing papers authored by Amber Miller

Since Specialization
Citations

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

Fields of papers citing papers by Amber Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amber Miller

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