Jun Kikuchi

34.9k total citations · 2 hit papers
333 papers, 9.2k citations indexed

About

Jun Kikuchi is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, Jun Kikuchi has authored 333 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Molecular Biology, 48 papers in Electrical and Electronic Engineering and 41 papers in Nuclear and High Energy Physics. Recurrent topics in Jun Kikuchi's work include Metabolomics and Mass Spectrometry Studies (62 papers), Radiation Therapy and Dosimetry (28 papers) and Radiation Detection and Scintillator Technologies (25 papers). Jun Kikuchi is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (62 papers), Radiation Therapy and Dosimetry (28 papers) and Radiation Detection and Scintillator Technologies (25 papers). Jun Kikuchi collaborates with scholars based in Japan, United States and China. Jun Kikuchi's co-authors include Yasuhiro Date, Hiroshi Ohno, Shinji Fukuda, Eisuke Chikayama, Yumiko Nakanishi, Masahira Hattori, Koji Hase, Hidehiro Toh, Kenshiro Oshima and Hidetoshi Morita and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Jun Kikuchi

314 papers receiving 9.0k 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.

Bifidobacteria can protect from enteropathogenic infection through production of acetate

2011 1.8k citations Jun Kikuchi et al. profile →
Tuning water-use efficiency and drought tolerance in wheat using abscisic acid receptors

2019 234 citations Yuuri Tsuboi, Jun Kikuchi et al. profile →

Peers

Countries citing papers authored by Jun Kikuchi

Since Specialization

Citations

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

Fields of papers citing papers by Jun Kikuchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Kikuchi

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Quantification of microbial community assembly processes during degradation on diverse plastispheres based on physicochemical characters and phylogenetic bin-based null model analysis 2024 ·The Science of The Total Environment ·(unknown), (unknown), Hideki Abe, Ritsuko Nagahata, Hideo Konno, Masaru Yoshida, Jun Kikuchi	4
2	Effects of interleukin-6 signal inhibition on Treg subpopulations and association of Tregs with clinical outcomes in rheumatoid arthritis 2024 ·Lara D. Veeken ·Hiroto Yoshida, (unknown), (unknown), Jun Kikuchi, Keiko Yoshimoto, Kotaro Otomo, Yoshihiro Matsumoto, (unknown), Tsutomu Takeuchi, (unknown)	8
3	Validation of causal inference data using DirectLiNGAM in an environmental small-scale model and calculation settings 2023 ·MethodsX ·Atsushi Kurotani, Hirokuni Miyamoto, Jun Kikuchi	2
4	Inferring microbial community assembly in an urban river basin through geo-multi-omics and phylogenetic bin-based null-model analysis of surface water 2023 ·Environmental Research ·(unknown), Jun Kikuchi	7
5	Prediction of Influence Transmission by Water Temperature of Fish Intramuscular Metabolites and Intestinal Microbiota Factor Cascade Using Bayesian Networks 2023 ·Applied Sciences ·Hideaki Shima, Kenji Sakata, Jun Kikuchi	2
6	An evaluation of homeostatic plasticity for ecosystems using an analytical data science approach 2023 ·Computational and Structural Biotechnology Journal ·Hirokuni Miyamoto, Jun Kikuchi	5
7	Microbiome and Metabolome Analyses in Different Closed-Circulation Aquarium Systems and Their Network Visualization 2022 ·ACS Omega ·(unknown), (unknown), (unknown), Jun Kikuchi	4
8	Dynamics of a stochastic non-autonomous phytoplankton–zooplankton system involving toxin-producing phytoplankton and impulsive perturbations 2022 ·Mathematics and Computers in Simulation ·He Liu, Chuanjun Dai, Hengguo Yu, Qing Guo, Jianbing Li, Aimin Hao, Jun Kikuchi, Min Zhao	9
9	Parameter Visualization of Benchtop Nuclear Magnetic Resonance Spectra toward Food Process Monitoring 2022 ·Processes ·(unknown), Shunji Yamada, Eisuke Chikayama, Jun Kikuchi	7
10	Identifying a Correlation among Qualitative Non-Numeric Parameters in Natural Fish Microbe Dataset Using Machine Learning 2022 ·Applied Sciences ·Hideaki Shima, Yuho Sato, Kenji Sakata, (unknown), Jun Kikuchi	7
11	Signal Deconvolution and Generative Topographic Mapping Regression for Solid-State NMR of Multi-Component Materials 2021 ·International Journal of Molecular Sciences ·Shunji Yamada, Eisuke Chikayama, Jun Kikuchi	7
12	Spatial molecular-dynamically ordered NMR spectroscopy of intact bodies and heterogeneous systems 2020 ·Communications Chemistry ·Kengo Ito, Yuuri Tsuboi, Jun Kikuchi	4
13	InterSpin: Integrated Supportive Webtools for Low- and High-Field NMR Analyses Toward Molecular Complexity 2019 ·ACS Omega ·Shunji Yamada, Kengo Ito, Atsushi Kurotani, Yutaka Yamada, Eisuke Chikayama, Jun Kikuchi	19
14	Profiling physicochemical and planktonic features from discretely/continuously sampled surface water 2018 ·The Science of The Total Environment ·Azusa Oita, Yuuri Tsuboi, Yasuhiro Date, (unknown), Kenji Sakata, Akiko Yokoyama, Shigeharu Moriya, Jun Kikuchi	8
15	Exploratory machine-learned theoretical chemical shifts can closely predict metabolic mixture signals 2018 ·Chemical Science ·Kengo Ito, (unknown), Eisuke Chikayama, Yasuhiro Date, Jun Kikuchi	20
16	Environmental metabolomics with data science for investigating ecosystem homeostasis 2017 ·Progress in Nuclear Magnetic Resonance Spectroscopy ·Jun Kikuchi, Kengo Ito, Yasuhiro Date	32
17	NMR window of molecular complexity showing homeostasis in superorganisms 2017 ·The Analyst ·Jun Kikuchi, Shunji Yamada	13
18	Structure and Metabolic‐Flow Analysis of Molecular Complexity in a ¹³C‐Labeled Tree by 2D and 3D NMR 2016 ·Angewandte Chemie ·Takanori Komatsu, (unknown), Amiu Shino, Jun Kikuchi	5
19	Cellulose Digestion and Metabolism Induced Biocatalytic Transitions in Anaerobic Microbial Ecosystems 2013 ·Metabolites ·Akira Yamazawa, (unknown), (unknown), Amiu Shino, Yoshiyuki Ogata, Yasuhiro Date, Jun Kikuchi	18
20	Dual biosynthetic pathways to phytosterol via cycloartenol and lanosterol in Arabidopsis 2009 ·Proceedings of the National Academy of Sciences ·Kiyoshi Ohyama, Masashi Suzuki, Jun Kikuchi, Kazuki Saito, Toshiya Muranaka	157

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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