Danielle N. Doll

12 total papers · 627 total citations
8 papers, 498 citations indexed

About

Danielle N. Doll is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Danielle N. Doll has authored 8 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 5 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Danielle N. Doll's work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Acute Ischemic Stroke Management (4 papers) and Barrier Structure and Function Studies (2 papers). Danielle N. Doll is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Acute Ischemic Stroke Management (4 papers) and Barrier Structure and Function Studies (2 papers). Danielle N. Doll collaborates with scholars based in United States and United Kingdom. Danielle N. Doll's co-authors include James W. Simpkins, Xuefang Ren, Heng Hu, Sara E. Lewis, Jiahong Sun, Stephanie L. Rellick, Taura L. Barr, Ashley E. Russell, Elizabeth B. Engler-Chiurazzi and Matthew J. Kessler and has published in prestigious journals such as Stroke, Journal of Neurochemistry and Behavioral and Brain Functions.

In The Last Decade

Danielle N. Doll

8 papers receiving 494 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 N. Doll 255 178 89 84 75 8 498
Shukai Wu 158 0.6× 227 1.3× 72 0.8× 98 1.2× 113 1.5× 10 546
Hongfeng Mu 280 1.1× 157 0.9× 38 0.4× 97 1.2× 104 1.4× 9 493
Antoine Anfray 194 0.8× 100 0.6× 103 1.2× 65 0.8× 84 1.1× 16 453
Bipanjeet Sekhon 146 0.6× 146 0.8× 124 1.4× 44 0.5× 80 1.1× 7 555
Sulekha Verma 158 0.6× 182 1.0× 125 1.4× 152 1.8× 39 0.5× 7 571
Shengbo Ji 185 0.7× 171 1.0× 71 0.8× 65 0.8× 40 0.5× 6 531
Nathalie Lebeurrier 152 0.6× 212 1.2× 138 1.6× 55 0.7× 74 1.0× 9 581
Luting Poh 286 1.1× 228 1.3× 121 1.4× 54 0.6× 51 0.7× 15 564
Derek Nowrangi 158 0.6× 277 1.6× 69 0.8× 89 1.1× 217 2.9× 13 579
Yanghao Hou 159 0.6× 382 2.1× 77 0.9× 124 1.5× 51 0.7× 9 606

Countries citing papers authored by Danielle N. Doll

Since Specialization
Citations

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

Fields of papers citing papers by Danielle N. Doll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle N. Doll

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