Ryo Matoba

5.3k total citations · 1 hit paper
69 papers, 3.8k citations indexed

About

Ryo Matoba is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ryo Matoba has authored 69 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 13 papers in Cancer Research and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ryo Matoba's work include Pluripotent Stem Cells Research (10 papers), Molecular Biology Techniques and Applications (9 papers) and CRISPR and Genetic Engineering (8 papers). Ryo Matoba is often cited by papers focused on Pluripotent Stem Cells Research (10 papers), Molecular Biology Techniques and Applications (9 papers) and CRISPR and Genetic Engineering (8 papers). Ryo Matoba collaborates with scholars based in Japan, United States and United Kingdom. Ryo Matoba's co-authors include Minoru S.H. Ko, Kenichi Matsubara, Hitoshi Niwa, Shinji Masui, Alexei A. Sharov, Yuhki Nakatake, Hitoshi Okochi, Akihiko Okuda, Naohiro Hori and Kikuya Kato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Ryo Matoba

66 papers receiving 3.7k citations

Hit Papers

Pluripotency governed by Sox2 via regulation of Oct3/4 ex... 2007 2026 2013 2019 2007 250 500 750

Peers

Ryo Matoba
Comparison fields: 5 of 128
  • Molecular Biology 2.8k
  • Cancer Research 622
  • Oncology 461
  • Genetics 446
  • Surgery 300
Replace Genta Nagae with:
Genta Nagae Japan
Frank Kuhnert United States
Dieter Weichenhan Germany
Giuseppe Gasparre Italy
Ru‐Fang Yeh United States
Mauro Santibanez‐Koref United Kingdom
Adam J. Dupuy United States
Roshan Kumar United States
Ma. Xenia G. Ilagan United States
Mathew J. Thayer United States
Genta Nagae Japan View profile →
Citations per field, relative to Ryo Matoba
Ryo Matoba · 1×
Citations per year, relative to Ryo Matoba
Ryo Matoba · 1×

Countries citing papers authored by Ryo Matoba

Since Specialization
Citations

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

Fields of papers citing papers by Ryo Matoba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryo Matoba

This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Matoba. A scholar is included among the top collaborators of Ryo Matoba 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 Ryo Matoba. Ryo Matoba 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 0
2 2
3 52
4 10
5 14
6 61
7 7
8 9
9 15
10 59
11
Pluripotency governed by Sox2 via regulation of Oct3/4 expression in mouse embryonic stem cells breakdown →
900
12 11
13 38
14 6
15 77
16 12
17 25
18 5
19 415
20 65

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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