Daniel M. Togasaki

2.1k citations
25 papers · 1.3k indexed · h-index 18
Topics
Neuroscience and Neuropharmacology Research (11 papers)Parkinson's Disease Mechanisms and Treatments (10 papers)Neurological disorders and treatments (6 papers)

In The Last Decade

Daniel M. Togasaki

25 papers receiving 1.3k citations

Peers

Daniel M. Togasaki
Comparison fields: 5 of 92
  • Neurology 795
  • Cellular and Molecular Neuroscience 742
  • Molecular Biology 265
  • Neurology 166
  • Physiology 149
Replace Yuen‐Sum Lau with:
Yuen‐Sum Lau United States
Mahmoud M. Iravani United Kingdom
Laurent Grégoire Canada
Richard M. Zweig United States
Michael F. Salvatore United States
Stella M. Papa United States
Clare Loane United Kingdom
Paula Ravenscroft France
Emmanuelle Pourcher Canada
Belén Gago Spain
Daniel M. Togasaki relative to Yuen‐Sum Lau United States Yuen‐Sum Lau's profile →
Citations per field
00.5×1.6×
Yuen‐Sum Lau · 1×
Citations per year

Countries citing papers authored by Daniel M. Togasaki

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Togasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Togasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Togasaki. A scholar is included among the top collaborators of Daniel M. Togasaki 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 Daniel M. Togasaki. Daniel M. Togasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 38
3 41
4 90
5 29
6 269
7 38
8 26
9 11
10 38
11 17
12 44
13 32
14 56
15 6
16 49
17 357
18 22
19 9
20 40

About Daniel M. Togasaki

Daniel M. Togasaki is a scholar working on Cellular and Molecular Neuroscience, Neurology and Physiology, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Parkinson's Disease Mechanisms and Treatments (10 papers) and Neurological disorders and treatments (6 papers). The work is most often cited by research in Neurology (795 citations), Cellular and Molecular Neuroscience (742 citations) and Neurology (166 citations). Daniel M. Togasaki has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include David M. Donaldson, Vernice Jackson‐Lewis, Hong Jiang, Mayra Ferreira, Marta Vučković, Michael W. Jakowec, Giselle M. Petzinger, Donato A. Di Monte, Maryka Quik and J. William Langston. Their work appears in journals such as Journal of Neuroscience, Stroke and Annals of Neurology.

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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