Yosuke Tanigawa

7.7k citations
29 papers · 836 indexed · 1 hit paper · h-index 14
Topics
Genetic Associations and Epidemiology (18 papers)Bioinformatics and Genomic Networks (7 papers)Genomics and Rare Diseases (5 papers)

In The Last Decade

Yosuke Tanigawa

27 papers receiving 827 citations

Hit Papers

Human microglial state dynamics in Alzheimer’s disease pr...2023202620242025202350100150

Peers

Yosuke Tanigawa
Comparison fields: 5 of 103
  • Genetics 329
  • Molecular Biology 324
  • Physiology 129
  • Neurology 118
  • Epidemiology 79
Replace Maryam Shoai with:
Maryam Shoai United Kingdom
Kimiaki Utsugisawa Japan
Tomaz Berisa United States
Maša Umićević Mirkov Netherlands
Simone Gupta United States
Aleš Maver Slovenia
Kaanan P. Shah United States
Solveig K. Sieberts United States
Rose Tobias Canada
Christina M. Hultman Sweden
Yosuke Tanigawa relative to Maryam Shoai United Kingdom Maryam Shoai's profile →
Citations per field
00.5×1.5×2.3×
Maryam Shoai · 1×
Citations per year

Countries citing papers authored by Yosuke Tanigawa

Since Specialization
Citations

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

Fields of papers citing papers by Yosuke Tanigawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yosuke Tanigawa

This figure shows the co-authorship network connecting the top 25 collaborators of Yosuke Tanigawa. A scholar is included among the top collaborators of Yosuke Tanigawa 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 Yosuke Tanigawa. Yosuke Tanigawa 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 4
2 0
3 6
4
Human microglial state dynamics in Alzheimer’s disease progressionbreakdown →
162
5 54
6 53
7 65
8 9
9 7
10 7
11 22
12 10
13 67
14 47
15 26
16 39
17 79
18 61
19 44
20 5

About Yosuke Tanigawa

Yosuke Tanigawa is a scholar working on Genetics, Statistics and Probability and Cancer Research, having authored 29 papers that have together received 836 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (18 papers), Bioinformatics and Genomic Networks (7 papers) and Genomics and Rare Diseases (5 papers). The work is most often cited by research in Neurology (118 citations), Biological Psychiatry (35 citations) and Genetics (329 citations). Yosuke Tanigawa has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Manuel A. Rivas, Matthew Aguirre, Trevor Hastie, Robert Tibshirani, Gill Bejerano, Junyang Qian, Christopher Chang, Manolis Kellis, Adam Lavertu and Gregory McInnes. Their work appears in journals such as Cell, Nature Communications and Bioinformatics.

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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