Ayaka Yanagida

3.5k citations
34 papers · 2.4k indexed · 2 hit papers · h-index 19

Impact in

Papers in

    • Liver physiology and pathology 9
    • Pancreatic function and diabetes 9

Ayaka Yanagida

34 papers receiving 2.4k citations

Hit Papers

Human naive epiblast cells possess unrestricted lineage potential 2021 · 222 citations
2222008202620142020250500750

Peers

Ayaka Yanagida
Comparison fields: 5 of 105
  • Mechanical Engineering 932
  • Mechanics of Materials 461
  • Materials Chemistry 798
  • Molecular Biology 1.1k
  • Hepatology 96
Replace Satoshi Ohtsuka with:
Satoshi Ohtsuka Japan
Kazuya Hiraoka Japan
Chun Xu China
Kohei Tatsumi Japan
George M. Edwards United States
L. Zhang China
Kazumi Hirano Japan
Chaohong Liu China
Yong Chan Kim South Korea
Peng Zeng China
Ayaka Yanagida relative to Satoshi Ohtsuka Japan Satoshi Ohtsuka's profile →
Citations per field
00.5×8.7×
Satoshi Ohtsuka · 1×
Citations per year

Countries citing papers authored by Ayaka Yanagida

Since Specialization
Citations

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

Fields of papers citing papers by Ayaka Yanagida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ayaka Yanagida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ayaka Yanagida Line = papers co-authored together Ayaka Yanagida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 202411
4 20243
5 20238
6 202258
7 202142
8 2021195
9 2020111
10 201713
11 2017193
12 20157
13 20151
14 20152
15 201513
16 201419
17 201410
18 201359
19 201127
20 200935

About Ayaka Yanagida

Ayaka Yanagida is a scholar working on Hepatology, Surgery, Molecular Biology, Mechanics of Materials and Cancer Research, having authored 34 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (17 papers), Liver physiology and pathology (9 papers), Pancreatic function and diabetes (9 papers), CRISPR and Genetic Engineering (7 papers), Metallurgy and Material Forming (5 papers), Renal and related cancers (4 papers), Single-cell and spatial transcriptomics (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Mechanical Engineering (932 citations), Mechanics of Materials (461 citations), Materials Chemistry (798 citations), Molecular Biology (1.1k citations) and Hepatology (96 citations). Ayaka Yanagida has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Akira Azushima, Andrzej Rosochowski, Ari Korhonen, Jun Yanagimoto, D.Y. Yang, F. Micari, G. D. Lahoti, Reiner Kopp, Nobuhiro Tsuji and Peter Groche. Their work appears in journals such as Cell stem cell, Scientific Reports, Journal of Materials Processing Technology, Liver International and Nature 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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