Koji Yamada

1.1k total citations
44 papers, 717 citations indexed

About

Koji Yamada is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment and Cell Biology. According to data from OpenAlex, Koji Yamada has authored 44 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Renewable Energy, Sustainability and the Environment and 9 papers in Cell Biology. Recurrent topics in Koji Yamada's work include Algal biology and biofuel production (16 papers), melanin and skin pigmentation (9 papers) and Photosynthetic Processes and Mechanisms (9 papers). Koji Yamada is often cited by papers focused on Algal biology and biofuel production (16 papers), melanin and skin pigmentation (9 papers) and Photosynthetic Processes and Mechanisms (9 papers). Koji Yamada collaborates with scholars based in Japan, Canada and United States. Koji Yamada's co-authors include Kengo Suzuki, Osamu Iwata, Kowichi Jimbow, Ryota Sugimoto, Ayaka Nakashima, Taro Ogawa, Thomas G. Salopek, Keisuke Goda, Takashi Iwashina and Tomoko Abe and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and Journal of Agricultural and Food Chemistry.

In The Last Decade

Koji Yamada

39 papers receiving 694 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 Yamada Japan 15 297 189 144 110 103 44 717
Hyo-Jung Kim South Korea 15 284 1.0× 30 0.2× 43 0.3× 53 0.5× 27 0.3× 45 661
Preejith Vachali United States 14 575 1.9× 79 0.4× 38 0.3× 32 0.3× 74 0.7× 19 1.1k
Stefania Zava Italy 14 295 1.0× 17 0.1× 62 0.4× 38 0.3× 106 1.0× 25 819
Chitranshu Kumar India 10 532 1.8× 61 0.3× 82 0.6× 20 0.2× 79 0.8× 12 723
Hideyuki Sakaki Japan 14 270 0.9× 98 0.5× 30 0.2× 23 0.2× 19 0.2× 39 672
Xue Bai China 19 498 1.7× 71 0.4× 52 0.4× 33 0.3× 14 0.1× 60 924
Fernando Lledı́as Mexico 12 728 2.5× 27 0.1× 119 0.8× 35 0.3× 25 0.2× 23 960
Rita Del Giudice Sweden 16 330 1.1× 17 0.1× 74 0.5× 16 0.1× 41 0.4× 38 829
Lev A. Okorokov Brazil 20 692 2.3× 32 0.2× 140 1.0× 48 0.4× 105 1.0× 47 1.1k
Catarina Teixeira-Guedes Portugal 11 253 0.9× 23 0.1× 22 0.2× 78 0.7× 66 0.6× 15 672

Countries citing papers authored by Koji Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Koji Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Yamada

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Yamada. A scholar is included among the top collaborators of Koji Yamada 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 Yamada. Koji Yamada 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.
Imamura, S., et al.. (2024). Optimal conditions of algal breeding using neutral beam and applying it to breed Euglena gracilis strains with improved lipid accumulation. Scientific Reports. 14(1). 14716–14716. 1 indexed citations
3.
Yamashita, Kyôhei, Koji Yamada, Kengo Suzuki, & Eiji Tokunaga. (2023). Method for growing edible Euglena gracilis in an inexpensive medium with tomato juice to a high cell density equivalent to the density in KH medium. Sustainable Food Technology. 1(5). 709–721. 4 indexed citations
4.
Tamaki, Shun, Kazunari Ozasa, Toshihisa Nomura, et al.. (2023). Zeaxanthin is required for eyespot formation and phototaxis inEuglena gracilis. PLANT PHYSIOLOGY. 191(4). 2414–2426. 11 indexed citations
5.
Nomura, Toshihisa, Shun Tamaki, Kazunari Ozasa, et al.. (2022). CRISPR/Cas9‐mediated generation of non‐motile mutants to improve the harvesting efficiency of mass‐cultivated Euglena gracilis. Plant Biotechnology Journal. 20(11). 2042–2044. 13 indexed citations
7.
Hiramatsu, K., Koji Yamada, Matthew Lindley, Kengo Suzuki, & Keisuke Goda. (2020). Large-scale label-free single-cell analysis of paramylon in Euglena gracilis by high-throughput broadband Raman flow cytometry. Biomedical Optics Express. 11(4). 1752–1752. 18 indexed citations
8.
Yamada, Koji, Kazunari Ozasa, Hideyuki Suzuki, et al.. (2020). Isolation and characterization of a motility-defective mutant of Euglena gracilis. PeerJ. 8. e10002–e10002. 11 indexed citations
9.
Yamashita, Kyôhei, Koji Yamada, Kengo Suzuki, & Eiji Tokunaga. (2019). Noninvasive and safe cell viability assay for Euglena gracilis using natural food pigment. PeerJ. 7. e6636–e6636. 6 indexed citations
10.
Yamashita, Kyôhei, Yusuke Nishiyama, M Hashimoto, et al.. (2019). Absorbance spectra of the hematochrome-like granules and eyespot of Euglena gracilis by scan-free absorbance spectral imaging A(x, y, λ) within the live cells. Journal of Plant Research. 132(3). 431–438. 2 indexed citations
11.
Toyama, Tadashi, Koji Yamada, Kengo Suzuki, et al.. (2019). Enhanced production of biomass and lipids by Euglena gracilis via co-culturing with a microalga growth-promoting bacterium, Emticicia sp. EG3. Biotechnology for Biofuels. 12(1). 205–205. 39 indexed citations
12.
Yamada, Koji, Komaki Inoue, Chieko Higuchi, et al.. (2019). Characterization of sulfur-compound metabolism underlying wax-ester fermentation in Euglena gracilis. Scientific Reports. 9(1). 853–853. 22 indexed citations
13.
Yamada, Koji, et al.. (2017). Clinical analysis of keratocystic odontogenic tumors treated at Osaka Dental University. Journal of Osaka Dental University. 51(1). 22.
14.
Watanabe, Shinya, et al.. (2012). Analysis of ameloblastomas treated at Osaka Dental University Hospital. Journal of Osaka Dental University. 46(2). 251–258.
15.
Nakanishi, Nobuo, et al.. (2006). Phagocytic Activation of Monocytes by C-UP III Herbal Polysaccharides in Calves and Cows. Journal of the Japan Veterinary Medical Association. 59(5). 315–319. 1 indexed citations
16.
Kato, Yukio, Koji Yamada, Fumihiro Oshita, et al.. (1997). 832 Helical thin-section CT high-resolution image analysis of resected peripheral adenocarcinomas of the lung less than 1 cm in diameter. Lung Cancer. 18. 214–214. 1 indexed citations
17.
Hara, Hiroyuki, et al.. (1994). High Plasma Level of a Eumelanin Precursor, 6-Hydroxy-5-Methoxyindole-2-Carboxylic Acid as a Prognostic Marker for Malignant Melanoma. Journal of Investigative Dermatology. 102(4). 501–505. 26 indexed citations
19.
Tanaka, Shinya, et al.. (1990). [Respiratory function on exercise as a predictor of complications after lung resection].. PubMed. 43(10). 778–82. 1 indexed citations
20.
Yamada, Koji. (1974). Nutritive Values of Chlorella Cells Grown under Heterotrophic Conditions. Eiyo to shokuryo. 27(8). 381–385. 1 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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