Yasuhiro Maeda

1.0k total citations
16 papers, 229 citations indexed

About

Yasuhiro Maeda is a scholar working on Neurology, Molecular Biology and Epidemiology. According to data from OpenAlex, Yasuhiro Maeda has authored 16 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 4 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Yasuhiro Maeda's work include Peripheral Neuropathies and Disorders (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Scheduling and Optimization Algorithms (3 papers). Yasuhiro Maeda is often cited by papers focused on Peripheral Neuropathies and Disorders (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Scheduling and Optimization Algorithms (3 papers). Yasuhiro Maeda collaborates with scholars based in Japan and United States. Yasuhiro Maeda's co-authors include Robert K. Yu, Nobuyuki Miyatani, Tatsuo Kohriyama, Susumu Kusunoki, Toshio Ariga, Celia F. Brosnan, John W. Bigbee, Robert G. Kalb, Hideki Tanaka and Teruaki Imada and has published in prestigious journals such as Annals of Neurology, Brain Research and Journal of Neurochemistry.

In The Last Decade

Yasuhiro Maeda

14 papers receiving 217 citations

Peers

Yasuhiro Maeda
Comparison fields: 5 of 54
  • Neurology 72
  • Molecular Biology 58
  • Cellular and Molecular Neuroscience 40
  • Cardiology and Cardiovascular Medicine 40
  • Radiology, Nuclear Medicine and Imaging 39
Replace Huimin Chen with:
Huimin Chen China
Anna Chiara Carratù Italy
Rana Chakrabarti Canada
Hassan Dastsooz Iran
Shaofeng Wang China
Oda M Japan
Renuka Kandhaya‐Pillai United States
Preeti Kumari Chaudhary South Korea
Christopher Seidel United States
David Cheung Canada
Huimin Chen China View profile →
Citations per field, relative to Yasuhiro Maeda
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Citations per year, relative to Yasuhiro Maeda
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Countries citing papers authored by Yasuhiro Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuhiro Maeda

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 8
3 1
4 2
5 37
6 21
7
[Diffuse large B-cell lymphoma presenting with hypoglossal nerve palsy and great occipital neuralgia].
1
8 33
9 1
10
[Effects of midazolam on acute phase of stroke in two patients with mitochondrial encephalopathy, lactic acidosis and stroke-like episodes].
1
11 24
12 24
13 25
14 42
15 5
16 4

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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