Koji Iwayama

430 total citations
13 papers, 242 citations indexed

About

Koji Iwayama is a scholar working on Molecular Biology, Economics and Econometrics and Plant Science. According to data from OpenAlex, Koji Iwayama has authored 13 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Economics and Econometrics and 5 papers in Plant Science. Recurrent topics in Koji Iwayama's work include Plant Molecular Biology Research (4 papers), Complex Systems and Time Series Analysis (4 papers) and Genomics and Phylogenetic Studies (2 papers). Koji Iwayama is often cited by papers focused on Plant Molecular Biology Research (4 papers), Complex Systems and Time Series Analysis (4 papers) and Genomics and Phylogenetic Studies (2 papers). Koji Iwayama collaborates with scholars based in Japan, United States and Australia. Koji Iwayama's co-authors include Hiroshi Kudoh, Atsushi J. Nagano, Mie N. Honjo, Tetsuhiro Kawagoe, Yoshito Hirata, Kazuyuki Aihara, Hideyuki Suzuki, Masayuki Ushio, Haruki Nishio and Kohske Takahashi and has published in prestigious journals such as Nature Communications, Bioinformatics and Scientific Reports.

In The Last Decade

Koji Iwayama

12 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koji Iwayama Japan 7 114 108 25 24 22 13 242
Stephan Hartmann Germany 9 60 0.5× 38 0.4× 4 0.2× 24 1.0× 21 1.0× 32 302
Zeyan Wu China 10 51 0.4× 33 0.3× 10 0.4× 51 2.1× 17 0.8× 21 335
Yukio Gunji Japan 8 62 0.5× 46 0.4× 24 1.0× 7 0.3× 53 2.4× 33 250
Maurício Falvo Brazil 5 131 1.1× 32 0.3× 15 0.6× 10 0.4× 35 1.6× 6 330
Diego Kuonen Switzerland 8 49 0.4× 71 0.7× 10 0.4× 12 0.5× 54 2.5× 15 377
Tian‐Rui Wang China 10 45 0.4× 66 0.6× 3 0.1× 12 0.5× 38 1.7× 27 295
Rodrigo de Oliveira Plotze Brazil 3 134 1.2× 25 0.2× 15 0.6× 9 0.4× 36 1.6× 6 286
Ioanna Manolopoulou United Kingdom 11 34 0.3× 34 0.3× 54 2.2× 12 0.5× 43 2.0× 25 285
F. Weiling Germany 9 94 0.8× 101 0.9× 11 0.4× 19 0.8× 46 2.1× 36 319
Yannis Almirantis Greece 14 64 0.6× 476 4.4× 19 0.8× 3 0.1× 9 0.4× 45 567

Countries citing papers authored by Koji Iwayama

Since Specialization
Citations

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

Fields of papers citing papers by Koji Iwayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Iwayama

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

All Works

13 of 13 papers shown
1.
Hashida, Yoichi, et al.. (2025). Simulation study of factors affecting the accuracy of transcriptome models under complex environments. Plant Molecular Biology. 115(2). 52–52.
2.
Fujita, Hiroaki, Masayuki Ushio, Kenta Suzuki, et al.. (2023). Alternative stable states, nonlinear behavior, and predictability of microbiome dynamics. Microbiome. 11(1). 63–63. 35 indexed citations
3.
Kashima, Makoto, Ryota Sakamoto, Hiroki Saito, et al.. (2021). Genomic Basis of Transcriptome Dynamics in Rice under Field Conditions. Plant and Cell Physiology. 62(9). 1436–1445. 7 indexed citations
4.
Nishio, Haruki, Diana Mihaela Buzas, Atsushi J. Nagano, et al.. (2020). Repressive chromatin modification underpins the long-term expression trend of a perennial flowering gene in nature. Nature Communications. 11(1). 2065–2065. 21 indexed citations
5.
Nishio, Haruki, Koji Iwayama, & Hiroshi Kudoh. (2020). Duration of cold exposure defines the rate of reactivation of a perennial FLC orthologue via H3K27me3 accumulation. Scientific Reports. 10(1). 16056–16056. 8 indexed citations
6.
Nagano, Atsushi J., et al.. (2018). Annual transcriptome dynamics in natural environments reveals plant seasonal adaptation. Nature Plants. 5(1). 74–83. 111 indexed citations
7.
Iwayama, Koji, et al.. (2017). FIT: statistical modeling tool for transcriptome dynamics under fluctuating field conditions. Bioinformatics. 33(11). 1672–1680. 5 indexed citations
8.
Hirata, Yoshito, Koji Iwayama, & Kazuyuki Aihara. (2016). Possibility of short-term probabilistic forecasts for large earthquakes making good use of the limitations of existing catalogs. Physical review. E. 94(4). 42217–42217. 5 indexed citations
9.
Iwayama, Koji, Li Zhu, Yoshito Hirata, et al.. (2016). Decision-making ability of Physarum polycephalum enhanced by its coordinated spatiotemporal oscillatory dynamics. Bioinspiration & Biomimetics. 11(3). 36001–36001. 6 indexed citations
10.
Iwayama, Koji, Yoshito Hirata, & Kazuyuki Aihara. (2016). Definition of distance for nonlinear time series analysis of marked point process data. Physics Letters A. 381(4). 257–262. 4 indexed citations
11.
Hirata, Yoshito, et al.. (2014). Intra-day response of foreign exchange markets after the Tohoku-Oki earthquake. Physica A Statistical Mechanics and its Applications. 419. 203–214. 5 indexed citations
12.
Iwayama, Koji, Yoshito Hirata, Hideyuki Suzuki, & Kazuyuki Aihara. (2013). Change-point detection with recurrence networks. Nonlinear Theory and Its Applications IEICE. 4(2). 160–171. 3 indexed citations
13.
Iwayama, Koji, Yoshito Hirata, Kohske Takahashi, et al.. (2012). Characterizing global evolutions of complex systems via intermediate network representations. Scientific Reports. 2(1). 423–423. 32 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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