Allison M. Burns

10 total papers · 593 total citations
7 papers, 436 citations indexed

About

Allison M. Burns is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Allison M. Burns has authored 7 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Cognitive Neuroscience. Recurrent topics in Allison M. Burns's work include Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Memory and Neural Mechanisms (2 papers). Allison M. Burns is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Memory and Neural Mechanisms (2 papers). Allison M. Burns collaborates with scholars based in Switzerland, United States and Canada. Allison M. Burns's co-authors include Johannes Gräff, Bianca A. Silva, Gary K. Owens, Sanjay Sinha, Mark H. Hoofnagle, Oliver G. McDonald, Brian R. Wamhoff, Martina Gaspari, Peter Baumann and Morgan R. Schroeder and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Nature Neuroscience.

In The Last Decade

Allison M. Burns

6 papers receiving 434 citations

Author Peers

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

Author						Papers	Cites
Allison M. Burns	249	108	106	73	38	7	436
Sarah A. Mauney	210 0.8×	192 1.8×	59 0.6×	41 0.6×	36 0.9×	10	458
Thomas Berger	184 0.7×	230 2.1×	115 1.1×	36 0.5×	41 1.1×	7	435
Abigail Mariga	208 0.8×	176 1.6×	44 0.4×	92 1.3×	19 0.5×	8	464
Ji-Seon Seo	156 0.6×	94 0.9×	53 0.5×	51 0.7×	55 1.4×	9	374
Akiko Sumitomo	206 0.8×	104 1.0×	47 0.4×	42 0.6×	20 0.5×	16	390
Gillian Seaton	247 1.0×	101 0.9×	38 0.4×	41 0.6×	17 0.4×	11	430
Wen‐Chin Huang	178 0.7×	98 0.9×	90 0.8×	62 0.8×	13 0.3×	8	383
Ankit Awasthi	192 0.8×	180 1.7×	90 0.8×	55 0.8×	13 0.3×	7	400
Fabienne Alfonsi	193 0.8×	199 1.8×	51 0.5×	42 0.6×	31 0.8×	10	425
Tian Gao	176 0.7×	120 1.1×	41 0.4×	86 1.2×	26 0.7×	11	432

Countries citing papers authored by Allison M. Burns

Since Specialization

Citations

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

Fields of papers citing papers by Allison M. Burns

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allison M. Burns. 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 Allison M. Burns. The network helps show where Allison M. Burns may publish in the future.

Co-authorship network of co-authors of Allison M. Burns

This figure shows the co-authorship network connecting the top 25 collaborators of Allison M. Burns. A scholar is included among the top collaborators of Allison M. Burns 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 Allison M. Burns. Allison M. Burns 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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