Maiko Uemura

1.9k citations
31 papers · 1.3k indexed · h-index 18
Topics
Alzheimer's disease research and treatments (8 papers)Parkinson's Disease Mechanisms and Treatments (8 papers)Surfactants and Colloidal Systems (4 papers)

In The Last Decade

Maiko Uemura

29 papers receiving 1.3k citations

Peers

Maiko Uemura
Comparison fields: 5 of 102
  • Neurology 489
  • Neurology 464
  • Physiology 436
  • Molecular Biology 350
  • Cellular and Molecular Neuroscience 262
Replace Masashi Takanashi with:
Masashi Takanashi Japan
Thomas G. Beach Canada
Antonio Dominguez‐Meijide Spain
Alberto Javier Ramos Argentina
Agnieszka M. Jurga Poland
Mehrnaz Jafarian-Tehrani France
Johanna Öberg Sweden
Ricardo Cabezas Colombia
C. Thong United States
María-Angeles Carrillo-de Sauvage France
Maiko Uemura relative to Masashi Takanashi Japan Masashi Takanashi's profile →
Citations per field
00.5×1.5×
Masashi Takanashi · 1×
Citations per year

Countries citing papers authored by Maiko Uemura

Since Specialization
Citations

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

Fields of papers citing papers by Maiko Uemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maiko Uemura. 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 Maiko Uemura. The network helps show where Maiko Uemura may publish in the future.

Co-authorship network of co-authors of Maiko Uemura

This figure shows the co-authorship network connecting the top 25 collaborators of Maiko Uemura. A scholar is included among the top collaborators of Maiko Uemura 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 Maiko Uemura. Maiko Uemura 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 0
2 4
3 30
4 8
5 6
6 35
7 85
8 172
9 106
10 26
11 232
12 26
13 88
14 15
15 62
16 35
17 121
18 16
19 14
20 19

About Maiko Uemura

Maiko Uemura is a scholar working on Neurology, Neurology and Biological Psychiatry, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Surfactants and Colloidal Systems (4 papers). The work is most often cited by research in Neurology (464 citations), Neurology (489 citations) and Biological Psychiatry (62 citations). Maiko Uemura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Ryōsuke Takahashi, Norihito Uemura, Virginia M.‐Y. Lee, Hodaka Yamakado, Masafumi Ihara, Takakuni Maki, Hisashi Yagi, Yusuke Hatanaka, John Q. Trojanowski and John Q. Trojanowski. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research Communications.

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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