Yutaka Kodama

3.2k total citations
99 papers, 2.3k citations indexed

About

Yutaka Kodama is a scholar working on Molecular Biology, Plant Science and Biophysics. According to data from OpenAlex, Yutaka Kodama has authored 99 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 60 papers in Plant Science and 10 papers in Biophysics. Recurrent topics in Yutaka Kodama's work include Photosynthetic Processes and Mechanisms (49 papers), Light effects on plants (29 papers) and Plant Molecular Biology Research (27 papers). Yutaka Kodama is often cited by papers focused on Photosynthetic Processes and Mechanisms (49 papers), Light effects on plants (29 papers) and Plant Molecular Biology Research (27 papers). Yutaka Kodama collaborates with scholars based in Japan, United States and Malaysia. Yutaka Kodama's co-authors include Chang‐Deng Hu, Keiji Numata, Takeshi Yoshizumi, Masamitsu Wada, Yuta Fujii, Jo‐Ann Chuah, Misato Ohtani, Hiroyuki Tanaka, Taku Demura and Hiroshi Sano and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Yutaka Kodama

96 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yutaka Kodama Japan 24 1.7k 1.2k 156 152 140 99 2.3k
Noriyuki Hatsugai Japan 21 1.7k 1.0× 1.9k 1.6× 161 1.0× 332 2.2× 79 0.6× 34 2.8k
Jun Cao China 35 2.8k 1.6× 2.5k 2.1× 321 2.1× 129 0.8× 40 0.3× 106 4.2k
Stanislav Vitha United States 21 1.5k 0.8× 1.0k 0.8× 59 0.4× 105 0.7× 40 0.3× 51 1.9k
Eric Davies United States 34 1.2k 0.7× 2.0k 1.7× 134 0.9× 136 0.9× 226 1.6× 105 3.0k
Guido Großmann Germany 30 1.8k 1.0× 1.7k 1.4× 48 0.3× 556 3.7× 118 0.8× 49 2.9k
Byung‐Ho Kang United States 38 2.8k 1.6× 2.4k 2.0× 97 0.6× 918 6.0× 72 0.5× 100 4.5k
John Runions United Kingdom 26 3.2k 1.9× 3.2k 2.7× 202 1.3× 601 4.0× 146 1.0× 37 4.5k
Béatrice Satiat‐Jeunemaître France 34 2.6k 1.5× 2.6k 2.2× 233 1.5× 1.0k 6.6× 87 0.6× 70 4.2k
Kazusato Oikawa Japan 23 1.8k 1.1× 1.7k 1.4× 37 0.2× 91 0.6× 22 0.2× 45 2.5k
Olga Šamajová Czechia 27 1.1k 0.6× 1.3k 1.1× 83 0.5× 231 1.5× 219 1.6× 62 1.9k

Countries citing papers authored by Yutaka Kodama

Since Specialization
Citations

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

Fields of papers citing papers by Yutaka Kodama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutaka Kodama

This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Kodama. A scholar is included among the top collaborators of Yutaka Kodama 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 Yutaka Kodama. Yutaka Kodama 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
1.
Thagun, Chonprakun, et al.. (2024). Levels of photoactivated phototropin modulate signal transmission during the chloroplast accumulation response. Plant Cell & Environment. 47(8). 3215–3226. 1 indexed citations
2.
Ishikawa, Kazuya & Yutaka Kodama. (2024). Bilirubin Distribution in Plants at the Subcellular and Tissue Levels. Plant and Cell Physiology. 65(5). 762–769. 1 indexed citations
3.
Asanuma, Masato, et al.. (2023). Deuterium- and Alkyne-Based Bioorthogonal Raman Probes for In Situ Quantitative Metabolic Imaging of Lipids within Plants. JACS Au. 3(6). 1604–1614. 14 indexed citations
4.
Ishikawa, Kazuya, et al.. (2022). The endoplasmic reticulum membrane–bending protein RETICULON facilitates chloroplast relocation movement in Marchantia polymorpha. The Plant Journal. 111(1). 205–216. 3 indexed citations
5.
Thagun, Chonprakun, Yoko Horii, Misato Ohtani, et al.. (2022). Non-transgenic Gene Modulation via Spray Delivery of Nucleic Acid/Peptide Complexes into Plant Nuclei and Chloroplasts. ACS Nano. 16(3). 3506–3521. 52 indexed citations
6.
Oikawa, Kazusato, et al.. (2022). A high-throughput quantitative method to evaluate peroxisome-chloroplast interactions in Arabidopsis thaliana. Frontiers in Plant Science. 13. 998960–998960. 1 indexed citations
7.
Tateishi, Ayaka, et al.. (2022). Three-dimensional nanoscale analysis of light-dependent organelle changes inArabidopsismesophyll cells. PNAS Nexus. 1(5). pgac225–pgac225. 11 indexed citations
8.
Kato, Shota, et al.. (2022). Organellar Glue: A Molecular Tool to Artificially Control Chloroplast–Chloroplast Interactions. ACS Synthetic Biology. 11(10). 3190–3197. 5 indexed citations
9.
Ishikawa, Shin-­nosuke, Fuminori Takahashi, Mika Nomoto, et al.. (2021). Arabidopsis group C Raf-like protein kinases negatively regulate abscisic acid signaling and are direct substrates of SnRK2. Proceedings of the National Academy of Sciences. 118(30). 36 indexed citations
10.
Oikawa, Kazusato, Ayaka Tateishi, Masaki Odahara, Yutaka Kodama, & Keiji Numata. (2021). Imaging of the Entry Pathway of a Cell-Penetrating Peptide–DNA Complex From the Extracellular Space to Chloroplast Nucleoids Across Multiple Membranes in Arabidopsis Leaves. Frontiers in Plant Science. 12. 759871–759871. 8 indexed citations
11.
Kato, Shota, Kazunari Ozasa, Mizuo Maeda, et al.. (2019). Carotenoids in the eyespot apparatus are required for triggering phototaxis in Euglena gracilis. The Plant Journal. 101(5). 1091–1102. 19 indexed citations
12.
Tanaka, Hiroyuki, et al.. (2018). SKLPT imaging: Efficient in vivo pre-evaluation of genome-editing modules using fluorescent protein with peroxisome targeting signal. Biochemical and Biophysical Research Communications. 503(1). 235–241. 7 indexed citations
13.
14.
Kodama, Yutaka, et al.. (2018). Highly efficient G-AgarTrap-mediated transformation of the <i>Marchantia polymorpha</i> model strains Tak-1 and Tak-2. Plant Biotechnology. 35(4). 399–403. 9 indexed citations
15.
Fujii, Yuta, Hiroyuki Tanaka, Naotake Konno, et al.. (2017). Phototropin perceives temperature based on the lifetime of its photoactivated state. Proceedings of the National Academy of Sciences. 114(34). 9206–9211. 130 indexed citations
16.
Higa, Takeshi, et al.. (2017). Temperature-dependent signal transmission in chloroplast accumulation response. Journal of Plant Research. 130(4). 779–789. 6 indexed citations
17.
Kodama, Yutaka, et al.. (2016). Actin-dependence of the chloroplast cold positioning response in the liverwort Marchantia polymorpha L.. PeerJ. 4. e2513–e2513. 19 indexed citations
18.
Ishizaki, Kimitsune, et al.. (2013). Cold‐induced organelle relocation in the liverwort Marchantia polymorpha L.. Plant Cell & Environment. 36(8). 1520–1528. 45 indexed citations
19.
Lakshmanan, Manoj, Yutaka Kodama, Takeshi Yoshizumi, Kumar Sudesh, & Keiji Numata. (2012). Rapid and Efficient Gene Delivery into Plant Cells Using Designed Peptide Carriers. Biomacromolecules. 14(1). 10–16. 93 indexed citations
20.
Yap, Yun‐Kiam, Yutaka Kodama, Frank Waller, et al.. (2005). Activation of a Novel Transcription Factor through Phosphorylation by WIPK, a Wound-Induced Mitogen-Activated Protein Kinase in Tobacco Plants. PLANT PHYSIOLOGY. 139(1). 127–137. 42 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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