Yohei Nishikawa

829 total citations
25 papers, 512 citations indexed

About

Yohei Nishikawa is a scholar working on Molecular Biology, Ecology and Biomedical Engineering. According to data from OpenAlex, Yohei Nishikawa has authored 25 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Ecology and 6 papers in Biomedical Engineering. Recurrent topics in Yohei Nishikawa's work include Microbial Community Ecology and Physiology (9 papers), Genomics and Phylogenetic Studies (7 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (6 papers). Yohei Nishikawa is often cited by papers focused on Microbial Community Ecology and Physiology (9 papers), Genomics and Phylogenetic Studies (7 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (6 papers). Yohei Nishikawa collaborates with scholars based in Japan, Saudi Arabia and Mexico. Yohei Nishikawa's co-authors include Masahito Hosokawa, Haruko Takeyama, Masato Kogawa, Tetsushi Mori, Keigo Ide, Dong Hyun Yoon, Shuichi Shoji, Toru Maruyama, Tetsushi Sekiguchi and Kazuki Mori and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Yohei Nishikawa

23 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yohei Nishikawa Japan 11 342 171 157 51 35 25 512
Masato Kogawa Japan 12 321 0.9× 153 0.9× 84 0.5× 29 0.6× 32 0.9× 21 483
Hailiang Wang China 17 302 0.9× 89 0.5× 63 0.4× 21 0.4× 46 1.3× 45 815
Mengyao Zhang China 10 430 1.3× 26 0.2× 252 1.6× 9 0.2× 35 1.0× 19 550
Olga N. Laikova Russia 7 450 1.3× 81 0.5× 65 0.4× 23 0.5× 55 1.6× 11 602
Elena Espinosa Spain 13 338 1.0× 171 1.0× 20 0.1× 11 0.2× 48 1.4× 24 548
Shangying Wang United States 9 220 0.6× 47 0.3× 79 0.5× 11 0.2× 11 0.3× 14 420
Assaf Katz Chile 13 450 1.3× 65 0.4× 49 0.3× 6 0.1× 32 0.9× 26 582
Ian P. Hurley United Kingdom 7 368 1.1× 55 0.3× 123 0.8× 5 0.1× 19 0.5× 10 483
Victoria M. Harman United Kingdom 14 456 1.3× 43 0.3× 44 0.3× 7 0.1× 10 0.3× 24 632

Countries citing papers authored by Yohei Nishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Yohei Nishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohei Nishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Yohei Nishikawa. A scholar is included among the top collaborators of Yohei Nishikawa 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 Yohei Nishikawa. Yohei Nishikawa 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
2.
Watanabe, Reika, Sonoko Dorothea Bellingrath‐Kimura, Yohei Nishikawa, et al.. (2025). Genetic Characterization and Symbiotic Performance of Soybean Rhizobia Under Cold and Water-Deficient Conditions in Poland. Plants. 14(12). 1786–1786. 1 indexed citations
3.
Nishikawa, Yohei, et al.. (2024). Large-scale single-virus genomics uncovers hidden diversity of river water viruses and diversified gene profiles. The ISME Journal. 18(1). 3 indexed citations
4.
Nishikawa, Yohei, Masahito Hosokawa, Keigo Ide, et al.. (2024). Analysis of microbial dynamics in the soybean root-associated environments from community to single-cell levels. Journal of Bioscience and Bioengineering. 137(6). 429–436. 1 indexed citations
5.
Kogawa, Masato, et al.. (2023). Revealing within-species diversity in uncultured human gut bacteria with single-cell long-read sequencing. Frontiers in Microbiology. 14. 1133917–1133917. 8 indexed citations
6.
Hosokawa, Masahito & Yohei Nishikawa. (2023). Tools for microbial single-cell genomics for obtaining uncultured microbial genomes. Biophysical Reviews. 16(1). 69–77. 8 indexed citations
7.
Kogawa, Masato, Masahiro Ando, Kei Yura, et al.. (2022). Single-cell metabolite detection and genomics reveals uncultivated talented producer. PNAS Nexus. 1(1). pgab007–pgab007. 17 indexed citations
8.
Nishikawa, Yohei, Masato Kogawa, Masahito Hosokawa, et al.. (2022). Validation of the application of gel beads-based single-cell genome sequencing platform to soil and seawater. SHILAP Revista de lepidopterología. 2(1). 92–92. 27 indexed citations
9.
Hosokawa, Masahito, et al.. (2022). Strain-level profiling of viable microbial community by selective single-cell genome sequencing. Scientific Reports. 12(1). 4443–4443. 19 indexed citations
10.
Ide, Keigo, Yohei Nishikawa, Toru Maruyama, et al.. (2022). Targeted single-cell genomics reveals novel host adaptation strategies of the symbiotic bacteria Endozoicomonas in Acropora tenuis coral. Microbiome. 10(1). 220–220. 17 indexed citations
11.
Ide, Keigo, et al.. (2022). The Effect of Co-Culture of Two Coral Species on Their Bacterial Composition Under Captive Environments. Marine Biotechnology. 24(5). 871–881. 3 indexed citations
12.
Behzad, Hayedeh, Mohammed Alarawi, David Conchouso, et al.. (2022). Identification of lipolytic enzymes using high-throughput single-cell screening and sorting of a metagenomic library. New Biotechnology. 70. 102–108. 10 indexed citations
13.
Aoki, Wataru, Masato Kogawa, Keisuke Matsubara, et al.. (2022). Massively parallel single-cell genomics of microbiomes in rice paddies. Frontiers in Microbiology. 13. 1024640–1024640. 10 indexed citations
14.
Conchouso, David, Hayedeh Behzad, Mohammed Alarawi, et al.. (2021). Integration of Droplet Microfluidic Tools for Single-Cell Functional Metagenomics: An Engineering Head Start. Genomics Proteomics & Bioinformatics. 19(3). 504–518. 5 indexed citations
15.
Hosokawa, Masahito, et al.. (2020). Single-cell genomics of uncultured bacteria reveals dietary fiber responders in the mouse gut microbiota. Microbiome. 8(1). 5–5. 93 indexed citations
16.
Terahara, Kazutaka, Masahito Hosokawa, Yohei Nishikawa, et al.. (2019). A CCR5+ memory subset within HIV-1-infected primary resting CD4+ T cells is permissive for replication-competent, latently infected viruses in vitro. BMC Research Notes. 12(1). 242–242. 4 indexed citations
17.
Aoki, Wataru, Natsuko Miura, Shunsuke Aburaya, et al.. (2019). High-throughput identification of peptide agonists against GPCRs by co-culture of mammalian reporter cells and peptide-secreting yeast cells using droplet microfluidics. Scientific Reports. 9(1). 10920–10920. 20 indexed citations
18.
Hosokawa, Masahito, Yohei Nishikawa, Masato Kogawa, & Haruko Takeyama. (2017). Massively parallel whole genome amplification for single-cell sequencing using droplet microfluidics. Scientific Reports. 7(1). 5199–5199. 98 indexed citations
19.
Nishikawa, Yohei, et al.. (2015). Monodisperse Picoliter Droplets for Low-Bias and Contamination-Free Reactions in Single-Cell Whole Genome Amplification. PLoS ONE. 10(9). e0138733–e0138733. 49 indexed citations
20.
Hosokawa, Masahito, Yohei Nishikawa, Dong Hyun Yoon, et al.. (2014). Droplet-based microfluidics for high-throughput screening of a metagenomic library for isolation of microbial enzymes. Biosensors and Bioelectronics. 67. 379–385. 78 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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