Shinya Tasaki

2.9k total citations
52 papers, 974 citations indexed

About

Shinya Tasaki is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Shinya Tasaki has authored 52 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 20 papers in Physiology and 14 papers in Genetics. Recurrent topics in Shinya Tasaki's work include Alzheimer's disease research and treatments (15 papers), Bioinformatics and Genomic Networks (11 papers) and Genetic Associations and Epidemiology (8 papers). Shinya Tasaki is often cited by papers focused on Alzheimer's disease research and treatments (15 papers), Bioinformatics and Genomic Networks (11 papers) and Genetic Associations and Epidemiology (8 papers). Shinya Tasaki collaborates with scholars based in United States, Japan and Canada. Shinya Tasaki's co-authors include David A. Bennett, Philip L. De Jager, Chris Gaiteri, Julie A. Schneider, Yanling Wang, Sara Mostafavi, Lei Yu, Aron S. Buchman, Yuumi Okuzono and Vladislav Petyuk and has published in prestigious journals such as Nature Communications, Nature Genetics and Nature Neuroscience.

In The Last Decade

Shinya Tasaki

48 papers receiving 958 citations

Peers

Shinya Tasaki
Comparison fields: 5 of 119
  • Molecular Biology 399
  • Physiology 297
  • Genetics 137
  • Rheumatology 114
  • Immunology 111
Replace Johanna Nilsson with:
Johanna Nilsson Sweden
Rita Cittadella Italy
Logan Dumitrescu United States
Gyungah Jun United States
Tania Nikolcheva Switzerland
Nikolaos Venizelos Sweden
Rob J.A. Nabuurs Netherlands
Adam C. Naj United States
Richard A. Hickman United States
Christine Bétard Canada
Johanna Nilsson Sweden View profile →
Citations per field, relative to Shinya Tasaki
Shinya Tasaki · 1×
Citations per year, relative to Shinya Tasaki
Shinya Tasaki · 1×

Countries citing papers authored by Shinya Tasaki

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Tasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Tasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Tasaki. A scholar is included among the top collaborators of Shinya Tasaki 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 Shinya Tasaki. Shinya Tasaki 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
# Work Indexed citations
1 1
2 5
3 1
4 3
5 5
6 8
7 1
8 2
9 29
10 3
11 4
12 16
13 49
14 6
15 24
16 66
17 13
18 18
19 21
20 44

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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