Shohei Kitano

513 citations
7 papers · 304 indexed · 1 hit paper · h-index 5
Topics
CRISPR and Genetic Engineering (3 papers)Microbial Metabolic Engineering and Bioproduction (3 papers)Fungal and yeast genetics research (2 papers)

In The Last Decade

Shohei Kitano

7 papers receiving 296 citations

Hit Papers

Microbiome and Human Health: Current Understanding, Engin...2022202620232024202250100150200

Peers

Shohei Kitano
Comparison fields: 5 of 90
  • Molecular Biology 203
  • Physiology 47
  • Food Science 43
  • Infectious Diseases 27
  • Epidemiology 20
Replace Kellyanne Duncan with:
Kellyanne Duncan United States
Beatriz Ruzafa-Costas Spain
Hossein Keyvani Iran
Dingjiacheng Jia China
Eva Núñez-Delegido Spain
Xinhe Xue United States
Alyssa K. Whitney United States
Nicholas A. Lesniak United States
Janiece Glover United States
Lincon Mazumder Bangladesh
Shohei Kitano relative to Kellyanne Duncan United States Kellyanne Duncan's profile →
Citations per field
00.5×3.5×
Kellyanne Duncan · 1×
Citations per year

Countries citing papers authored by Shohei Kitano

Since Specialization
Citations

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

Fields of papers citing papers by Shohei Kitano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shohei Kitano

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 2
2 19
3 14
4
Microbiome and Human Health: Current Understanding, Engineering, and Enabling Technologiesbreakdown →
239
5 12
6 3
7 15

About Shohei Kitano

Shohei Kitano is a scholar working on Molecular Biology, Food Science and Surgery, having authored 7 papers that have together received 304 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Biological Psychiatry (10 citations), Periodontics (14 citations) and Molecular Biology (203 citations). Shohei Kitano has collaborated with scholars based in Singapore, Japan and United States. Frequent co-authors include Matthew Wook Chang, Nikhil Aggarwal, In Young Hwang, Sandra Kittelmann, Jee Loon Foo, Naohiko Yanagishima, Chikashi Shimoda, Yasunori Aizawa, Jef D. Boeke and Linsen Huang. Their work appears in journals such as Chemical Reviews, Nature Communications and PLoS Biology.

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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