Shin‐ichi Aota

4.3k citations
23 papers · 3.5k indexed · 2 hit papers · h-index 20
Topics
Cell Adhesion Molecules Research (6 papers)TGF-β signaling in diseases (4 papers)Genomics and Phylogenetic Studies (3 papers)

In The Last Decade

Shin‐ichi Aota

23 papers receiving 3.4k citations

Hit Papers

Chloroplast gene organization deduced from complete seque...1986202619992012198619982505007501000

Peers

Shin‐ichi Aota
Comparison fields: 5 of 126
  • Molecular Biology 2.8k
  • Cell Biology 498
  • Immunology and Allergy 436
  • Plant Science 385
  • Genetics 321
Replace Simone Seiter with:
Simone Seiter Germany
F. Amalric France
Minna Taipale Finland
Masanori Taira Japan
John Leavitt United States
Hugh Paterson United Kingdom
Chi‐Hung Siu Canada
Peter A. Rubenstein United States
Suat Özbek Germany
B. R. Brinkley United States
Shin‐ichi Aota relative to Simone Seiter Germany Simone Seiter's profile →
Citations per field
00.5×
Simone Seiter · 1×
Citations per year

Countries citing papers authored by Shin‐ichi Aota

Since Specialization
Citations

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

Fields of papers citing papers by Shin‐ichi Aota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shin‐ichi Aota. 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 Shin‐ichi Aota. The network helps show where Shin‐ichi Aota may publish in the future.

Co-authorship network of co-authors of Shin‐ichi Aota

This figure shows the co-authorship network connecting the top 25 collaborators of Shin‐ichi Aota. A scholar is included among the top collaborators of Shin‐ichi Aota 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 Shin‐ichi Aota. Shin‐ichi Aota 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 65
2 46
3 5
4 93
5 109
6 25
7 20
8 43
9 163
10 173
11
Inhibition of Cell Migration, Spreading, and Focal Adhesions by Tumor Suppressor PTENbreakdown →
1034
12 111
13 24
14 52
15 21
16 55
17 89
18 172
19
Chloroplast gene organization deduced from complete sequence of liverwort Marchantia polymorpha chloroplast DNAbreakdown →
1119
20 45

About Shin‐ichi Aota

Shin‐ichi Aota is a scholar working on Immunology and Allergy, Equine and Aging, having authored 23 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), TGF-β signaling in diseases (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Immunology and Allergy (436 citations), Molecular Biology (2.8k citations) and Cell Biology (498 citations). Shin‐ichi Aota has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kenneth M. Yamada, Masahito Tamura, Jianguo Gu, Ramon Parsons, Kazue Matsumoto, Toshimichi Ikemura, Takayuki Kohchi, Hiromasa Shirai, Kazuhiko Umesono and Hachiro Inokuchi. Their work appears in journals such as Nature, Science and Nucleic Acids Research.

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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