Shohei Kitano

513 total citations · 1 hit paper
7 papers, 304 citations indexed

About

Shohei Kitano is a scholar working on Molecular Biology, Surgery and Food Science. According to data from OpenAlex, Shohei Kitano has authored 7 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Food Science. Recurrent topics in Shohei Kitano's work include CRISPR and Genetic Engineering (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Fungal and yeast genetics research (2 papers). Shohei Kitano is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Fungal and yeast genetics research (2 papers). Shohei Kitano collaborates with scholars based in Singapore, Japan and United States. Shohei Kitano's 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 and has published in prestigious journals such as Chemical Reviews, Nature Communications and PLoS Biology.

In The Last Decade

Shohei Kitano

7 papers receiving 296 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Microbiome and Human Health: Current Understanding, Engineering, and Enabling Technologies

2022 239 citations Nikhil Aggarwal, Shohei Kitano et al. Chemical Reviews profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shohei Kitano Singapore	5	203	47	43	27	20	7	304
Martin Leustik United States	5	106 0.5×	37 0.8×	31 0.7×	16 0.6×	36 1.8×	5	337
Maral Hemati Iran	8	235 1.2×	37 0.8×	99 2.3×	28 1.0×	16 0.8×	14	367
Claire E. Kohout United States	5	241 1.2×	41 0.9×	49 1.1×	62 2.3×	33 1.6×	6	330
Muzaffer Arıkan Türkiye	12	237 1.2×	45 1.0×	63 1.5×	17 0.6×	19 0.9×	23	384
Santosh Dulal United States	6	218 1.1×	46 1.0×	52 1.2×	68 2.5×	37 1.9×	14	372
Karenina Sanders United States	9	238 1.2×	100 2.1×	29 0.7×	44 1.6×	27 1.4×	9	411
Sarah C. Seaton United States	7	223 1.1×	54 1.1×	29 0.7×	26 1.0×	27 1.4×	8	304
Irenice Coronado-Arrázola Chile	7	139 0.7×	32 0.7×	64 1.5×	27 1.0×	24 1.2×	8	329
Michael Jakob Pichler Denmark	8	219 1.1×	29 0.6×	88 2.0×	36 1.3×	28 1.4×	10	330
Husham E. Homeida Saudi Arabia	8	111 0.5×	41 0.9×	37 0.9×	19 0.7×	16 0.8×	19	413

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

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Kitano, Shohei, et al.. (2024). Tunable cell differentiation via reprogrammed mating-type switching. Nature Communications. 15(1). 8163–8163. 2 indexed citations

2.

Kitano, Shohei, et al.. (2023). Synthetic biology: Learning the way toward high-precision biological design. PLoS Biology. 21(4). e3002116–e3002116. 19 indexed citations

3.

Foo, Jee Loon, Shohei Kitano, Yicong Lin, et al.. (2023). Establishing chromosomal design-build-test-learn through a synthetic chromosome and its combinatorial reconfiguration. Cell Genomics. 3(11). 100435–100435. 14 indexed citations

4.

Aggarwal, Nikhil, et al.. (2022). Microbiome and Human Health: Current Understanding, Engineering, and Enabling Technologies. Chemical Reviews. 123(1). 31–72. 239 indexed citations breakdown →

5.

Kitano, Shohei, et al.. (2018). Transposable elements shape the human proteome landscape via formation of cis‐acting upstream open reading frames. Genes to Cells. 23(4). 274–284. 12 indexed citations

6.

Lin, Yi, Shigeru Goto, Tao Pan, et al.. (2001). Identification of two down-regulated genes in rat liver allografts by mRNA differential display. Transplant International. 14(3). 153–158. 3 indexed citations

7.

Shimoda, Chikashi, Shohei Kitano, & Naohiko Yanagishima. (1975). Mating reaction inSaccharomyces cerevisiae. Antonie van Leeuwenhoek. 41(1). 513–519. 15 indexed citations

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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