Shunnichi Kashida

611 citations
9 papers · 415 indexed · h-index 7
Topics
RNA and protein synthesis mechanisms (8 papers)RNA Research and Splicing (5 papers)RNA Interference and Gene Delivery (3 papers)
Partner nations
JapanFranceBurundi

In The Last Decade

Shunnichi Kashida

8 papers receiving 409 citations

Peers

Shunnichi Kashida
Comparison fields: 5 of 54
  • Molecular Biology 393
  • Cancer Research 33
  • Genetics 22
  • Plant Science 18
  • Biomedical Engineering 18
Replace Nieves Lorenzo-Gotor with:
Nieves Lorenzo-Gotor Spain
Edward Courchaine United States
Kenneth Lyon United States
Daniel R. Mallin United States
Dane Z. Hazelbaker United States
Benedikt S. Nilges Germany
Xuehong Liang China
Lukas Theo Schmitt Germany
Ruchika Sachdev Switzerland
Christopher F Mugler Switzerland
Shunnichi Kashida relative to Nieves Lorenzo-Gotor Spain Nieves Lorenzo-Gotor's profile →
Citations per field
00.5×10×14×
Nieves Lorenzo-Gotor · 1×
Citations per year

Countries citing papers authored by Shunnichi Kashida

Since Specialization
Citations

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

Fields of papers citing papers by Shunnichi Kashida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunnichi Kashida

This figure shows the co-authorship network connecting the top 25 collaborators of Shunnichi Kashida. A scholar is included among the top collaborators of Shunnichi Kashida 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 Shunnichi Kashida. Shunnichi Kashida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 34
2 17
3 4
4 162
5 85
6 29
7 63
8 0
9 21

About Shunnichi Kashida

Shunnichi Kashida is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 415 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), RNA Research and Splicing (5 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Molecular Biology (393 citations), Business and International Management (6 citations) and Aging (5 citations). Shunnichi Kashida has collaborated with scholars based in Japan, France and Burundi. Frequent co-authors include Hirohide Saito, Zoher Gueroui, Dominique Weil, Tan Inoue, Marina Garcia-Jove Navarro, Gérard Pierron, Racha Chouaib, Sylvie Souquère, Yoshihiko Fujita and Karin Hayashi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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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