Koji Arikawa

616 total citations
5 papers, 53 citations indexed

About

Koji Arikawa is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Koji Arikawa has authored 5 papers receiving a total of 53 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Developmental Neuroscience. Recurrent topics in Koji Arikawa's work include Single-cell and spatial transcriptomics (3 papers), Plant Molecular Biology Research (1 paper) and Microfluidic and Bio-sensing Technologies (1 paper). Koji Arikawa is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Plant Molecular Biology Research (1 paper) and Microfluidic and Bio-sensing Technologies (1 paper). Koji Arikawa collaborates with scholars based in Japan and China. Koji Arikawa's co-authors include Masataka Shirai, Hiroko Matsunaga, Hideki Kambara, Haruko Takeyama, Huan Huang, Masahito Hosokawa, Hiroyuki Tsunoda, Yoshio Goshima, Yutaka Suzuki and Sumio Sugano and has published in prestigious journals such as Analytical Biochemistry, Scientific Reports and Plant and Cell Physiology.

In The Last Decade

Koji Arikawa

5 papers receiving 53 citations

Peers

Koji Arikawa

MB

CR

ONCOL

PS

BE

Anna Kirillova United States

Madison T. Weg United States

Hanne Hillen Belgium

Yiwei Lai China

Erle M. Holgersen Canada

Anna Maria Lucianò Italy

Jonathan M. Goeldner Germany

Philipp Weiler Germany

Faridah Mbabaali Canada

Anton Ogorodnikov United States

Anna Kirillova United States

Koji Arikawa

70 ×1.7

MB

5 ×0.3

CR

4 ×0.6

ONCOL

7 ×1.2

PS

9 ×1.5

BE

Citations per year, relative to Koji Arikawa Koji Arikawa (= 1×) peers Anna Kirillova

Countries citing papers authored by Koji Arikawa

Since Specialization

Citations

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

Fields of papers citing papers by Koji Arikawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Arikawa

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

All Works

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5 of 5 papers shown

1.

Yamazaki, Miki, Koji Arikawa, Masahito Hosokawa, et al.. (2020). Cortical transcriptome analysis after spinal cord injury reveals the regenerative mechanism of central nervous system in CRMP2 knock-in mice. Neural Regeneration Research. 16(7). 1258–1258. 11 indexed citations

2.

Kashima, Yukie, Ayako Suzuki, Ying Liu, et al.. (2018). Combinatory use of distinct single-cell RNA-seq analytical platforms reveals the heterogeneous transcriptome response. Scientific Reports. 8(1). 3482–3482. 15 indexed citations

3.

Shirai, Masataka, et al.. (2016). Vertical flow array chips reliably identify cell types from single-cell mRNA sequencing experiments. Scientific Reports. 6(1). 36014–36014. 5 indexed citations

4.

Kajiyama, Tomoharu, et al.. (2015). Position-Specific Gene Expression Analysis Using a Microgram Dissection Method Combined with On-Bead cDNA Library Construction. Plant and Cell Physiology. 56(7). 1320–1328. 6 indexed citations

5.

Matsunaga, Hiroko, Koji Arikawa, Masataka Shirai, et al.. (2014). A highly sensitive and accurate gene expression analysis by sequencing (“bead-seq”) for a single cell. Analytical Biochemistry. 471. 9–16. 16 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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