Danielle R. Miller

14 total papers · 768 total citations
10 papers, 575 citations indexed

About

Danielle R. Miller is a scholar working on Epidemiology, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Danielle R. Miller has authored 10 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Neurology and 4 papers in Cognitive Neuroscience. Recurrent topics in Danielle R. Miller's work include Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Traumatic Brain Injury Research (5 papers) and Stress Responses and Cortisol (2 papers). Danielle R. Miller is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Traumatic Brain Injury Research (5 papers) and Stress Responses and Cortisol (2 papers). Danielle R. Miller collaborates with scholars based in United States. Danielle R. Miller's co-authors include Jasmeet P. Hayes, Mieke Verfaellie, Ginette Lafleche, David H. Salat, Mark W. Miller, Erika J. Wolf, Scott M. Hayes, Mark W. Logue, Jeffrey M. Spielberg and Regina E. McGlinchey and has published in prestigious journals such as Nature Neuroscience, Human Brain Mapping and Brain Behavior and Immunity.

In The Last Decade

Danielle R. Miller

10 papers receiving 570 citations

Author Peers

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

Author Last Decade Papers Cites
Danielle R. Miller 240 161 155 128 115 10 575
Kate A. Yurgil 224 0.9× 104 0.6× 215 1.4× 233 1.8× 98 0.9× 19 632
Noriyuki Kitayama 139 0.6× 66 0.4× 210 1.4× 289 2.3× 172 1.5× 7 676
Maryanne Lenoci 162 0.7× 86 0.5× 179 1.2× 332 2.6× 170 1.5× 8 624
Sinéad Quinn 62 0.3× 131 0.8× 165 1.1× 163 1.3× 70 0.6× 9 549
G. Mundle 191 0.8× 95 0.6× 120 0.8× 64 0.5× 31 0.3× 20 694
Cindy Eckart 64 0.3× 89 0.6× 146 0.9× 310 2.4× 116 1.0× 17 614
Karina Stavitsky 135 0.6× 236 1.5× 182 1.2× 111 0.9× 46 0.4× 13 552
Katia J. Sinopoli 172 0.7× 95 0.6× 120 0.8× 32 0.3× 91 0.8× 17 645
Moshe Isserles 66 0.3× 117 0.7× 297 1.9× 129 1.0× 32 0.3× 16 639
Kathryn A. Moores 177 0.7× 38 0.2× 384 2.5× 215 1.7× 70 0.6× 15 627

Countries citing papers authored by Danielle R. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Danielle R. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle R. Miller

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