Molly E. V. Swanson

27 total papers · 690 total citations
17 papers, 449 citations indexed

About

Molly E. V. Swanson is a scholar working on Neurology, Neurology and Physiology. According to data from OpenAlex, Molly E. V. Swanson has authored 17 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 6 papers in Neurology and 6 papers in Physiology. Recurrent topics in Molly E. V. Swanson's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Amyotrophic Lateral Sclerosis Research (6 papers) and Alzheimer's disease research and treatments (6 papers). Molly E. V. Swanson is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Amyotrophic Lateral Sclerosis Research (6 papers) and Alzheimer's disease research and treatments (6 papers). Molly E. V. Swanson collaborates with scholars based in New Zealand, Australia and United States. Molly E. V. Swanson's co-authors include Maurice A. Curtis, Richard L. M. Faull, Helen C. Murray, Emma L. Scotter, Clinton Turner, Mike Dragunow, Birger Victor Dieriks, Leon Smyth, Adam K. Walker and Brigid Ryan and has published in prestigious journals such as Brain, Scientific Reports and Neuroscience.

In The Last Decade

Molly E. V. Swanson

15 papers receiving 443 citations

Author Peers

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

Author						Papers	Cites
Molly E. V. Swanson	200	153	140	102	100	17	449
Jack Brelstaff	224 1.1×	164 1.1×	216 1.5×	104 1.0×	81 0.8×	15	506
Germana Cocozza	189 0.9×	100 0.7×	103 0.7×	114 1.1×	90 0.9×	17	413
Assunta Virtuoso	152 0.8×	171 1.1×	89 0.6×	59 0.6×	49 0.5×	24	502
Yannick N. Gerber	247 1.2×	103 0.7×	105 0.8×	116 1.1×	84 0.8×	21	515
Seiji Kaji	219 1.1×	142 0.9×	87 0.6×	178 1.7×	57 0.6×	26	517
Jana Turečková	200 1.0×	197 1.3×	95 0.7×	83 0.8×	54 0.5×	13	507
Eveliina Pollari	135 0.7×	202 1.3×	103 0.7×	218 2.1×	118 1.2×	13	546
André Machado Xavier	115 0.6×	119 0.8×	73 0.5×	77 0.8×	56 0.6×	13	415
Tiziana Petrozziello	108 0.5×	180 1.2×	95 0.7×	116 1.1×	60 0.6×	24	508
Megan Torvell	239 1.2×	161 1.1×	141 1.0×	61 0.6×	118 1.2×	12	529

Countries citing papers authored by Molly E. V. Swanson

Since Specialization

Citations

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

Fields of papers citing papers by Molly E. V. Swanson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Molly E. V. Swanson. 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 Molly E. V. Swanson. The network helps show where Molly E. V. Swanson may publish in the future.

Co-authorship network of co-authors of Molly E. V. Swanson

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