Shogo Matoba

8.6k citations
76 papers · 6.4k indexed · 2 hit papers · h-index 32
Topics
Reproductive Biology and Fertility (30 papers)CRISPR and Genetic Engineering (25 papers)Pluripotent Stem Cells Research (24 papers)

In The Last Decade

Shogo Matoba

74 papers receiving 6.3k citations

Hit Papers

Double Nicking by RNA-Guided CRISPR Cas9 for Enhanced Gen...20132026201720212013201450010001.5k2.0k2.5k

Peers

Shogo Matoba
Comparison fields: 5 of 118
  • Molecular Biology 5.5k
  • Genetics 2.0k
  • Public Health, Environmental and Occupational Health 1.4k
  • Reproductive Medicine 710
  • Plant Science 394
Replace Azusa Inoue with:
Azusa Inoue Japan
Niels Geijsen Netherlands
Angelika Schnieke Germany
Concepción Rodrı́guez Esteban United States
Cesare Galli Italy
Morgan L. Maeder United States
Keith Campbell United Kingdom
Yanfang Fu United States
Ayako Isotani Japan
Alexander Kind Germany
Shogo Matoba relative to Azusa Inoue Japan Azusa Inoue's profile →
Citations per field
00.5×4.7×
Azusa Inoue · 1×
Citations per year

Countries citing papers authored by Shogo Matoba

Since Specialization
Citations

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

Fields of papers citing papers by Shogo Matoba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shogo Matoba

This figure shows the co-authorship network connecting the top 25 collaborators of Shogo Matoba. A scholar is included among the top collaborators of Shogo 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 Shogo Matoba. Shogo 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
#WorkIndexed citations
1 4
2 4
3 12
4 11
5 22
6 11
7 12
8 29
9 79
10 58
11 49
12 4
13 12
14
Embryonic Development following Somatic Cell Nuclear Transfer Impeded by Persisting Histone Methylationbreakdown →
356
15 197
16 41
17 188
18 167
19 34
20 13

About Shogo Matoba

Shogo Matoba is a scholar working on Reproductive Medicine, Genetics and Public Health, Environmental and Occupational Health, having authored 76 papers that have together received 6.4k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (30 papers), CRISPR and Genetic Engineering (25 papers) and Pluripotent Stem Cells Research (24 papers). The work is most often cited by research in Business and International Management (275 citations), Aging (247 citations) and Reproductive Medicine (710 citations). Shogo Matoba has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yi Zhang, Azusa Inoue, Patrick D. Hsu, Jonathan S. Gootenberg, F. Ann Ran, Feng Zhang, Alexandro E. Trevino, David Scott, Silvana Konermann and Atsuo Ogura. Their work appears in journals such as Nature, Science and Cell.

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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