Akihiko Kondo

41.8k total citations · 4 hit papers
849 papers, 31.3k citations indexed

About

Akihiko Kondo is a scholar working on Molecular Biology, Biomedical Engineering and Biotechnology. According to data from OpenAlex, Akihiko Kondo has authored 849 papers receiving a total of 31.3k indexed citations (citations by other indexed papers that have themselves been cited), including 647 papers in Molecular Biology, 343 papers in Biomedical Engineering and 120 papers in Biotechnology. Recurrent topics in Akihiko Kondo's work include Microbial Metabolic Engineering and Bioproduction (345 papers), Biofuel production and bioconversion (280 papers) and Enzyme Catalysis and Immobilization (164 papers). Akihiko Kondo is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (345 papers), Biofuel production and bioconversion (280 papers) and Enzyme Catalysis and Immobilization (164 papers). Akihiko Kondo collaborates with scholars based in Japan, Taiwan and United States. Akihiko Kondo's co-authors include Hideki Fukuda, Tomohisa Hasunuma, Hideo Noda, Tsutomu Tanaka, Chiaki Ogino, Jo‐Shu Chang, Jun Ishii, Shinji Hama, Ryosuke Yamada and Mitsuyoshi Ueda and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Communications.

In The Last Decade

Akihiko Kondo

832 papers receiving 30.3k citations

Hit Papers

Biodiesel Fuel Production by Transesterification of Oils. 2001 2026 2009 2017 2001 2001 2016 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akihiko Kondo Japan 83 21.3k 14.5k 4.4k 3.3k 2.3k 849 31.3k
Bo Mattìasson Sweden 78 12.4k 0.6× 9.2k 0.6× 1.2k 0.3× 2.1k 0.6× 1.6k 0.7× 719 27.4k
Li Liu China 71 12.5k 0.6× 4.7k 0.3× 1.2k 0.3× 1.4k 0.4× 2.9k 1.3× 1.2k 26.1k
Se‐Kwon Kim South Korea 108 18.8k 0.9× 4.7k 0.3× 3.1k 0.7× 3.2k 1.0× 4.0k 1.7× 649 41.0k
Jianghua Li China 56 8.2k 0.4× 3.1k 0.2× 1.4k 0.3× 2.1k 0.6× 972 0.4× 579 14.8k
Anne S. Meyer Denmark 84 6.9k 0.3× 6.2k 0.4× 1.2k 0.3× 4.0k 1.2× 6.6k 2.9× 472 26.0k
Shuo Wang China 73 7.5k 0.4× 6.7k 0.5× 1.6k 0.4× 699 0.2× 2.2k 0.9× 933 26.7k
Hideki Fukuda Japan 61 9.1k 0.4× 7.6k 0.5× 917 0.2× 1.4k 0.4× 538 0.2× 368 14.7k
Joaquim M. S. Cabral Portugal 63 10.8k 0.5× 6.2k 0.4× 587 0.1× 1.3k 0.4× 819 0.4× 609 19.4k
Jonathan S. Dordick United States 79 13.3k 0.6× 6.5k 0.5× 506 0.1× 1.7k 0.5× 1.4k 0.6× 457 24.8k
Min Jiang China 55 6.2k 0.3× 4.7k 0.3× 558 0.1× 960 0.3× 706 0.3× 480 12.8k

Countries citing papers authored by Akihiko Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Akihiko Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiko Kondo

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiko Kondo. A scholar is included among the top collaborators of Akihiko Kondo 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 Akihiko Kondo. Akihiko Kondo 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.
Tanaka, Kenya, et al.. (2025). Engineering Saccharomyces cerevisiae for growth on xylose using an oxidative pathway. Applied Microbiology and Biotechnology. 109(1). 30–30. 2 indexed citations
2.
Ida, K., Kenya Tanaka, Yuichi Kato, et al.. (2025). Astaxanthin Overproduction Enhanced by Metabolomics-Guided Rational Metabolic Engineering in Synechococcus sp. PCC 7002. ACS Synthetic Biology. 14(11). 4467–4477.
3.
Matsuoka, Yuta, et al.. (2023). Triacetic acid lactone production using 2-pyrone synthase expressing Yarrowia lipolytica via targeted gene deletion. Journal of Bioscience and Bioengineering. 136(4). 320–326. 1 indexed citations
4.
Wang, Weibin, Xueqing Wang, Chen‐Guang Liu, et al.. (2023). The chromatin remodeler Ino80 regulates yeast stress tolerance and cell metabolism through modulating nitrogen catabolite repression. International Journal of Biological Macromolecules. 258(Pt 2). 129041–129041. 8 indexed citations
5.
Ohbayashi, Ryudo, Yuichi Kato, Mami Matsuda, et al.. (2023). ppGpp accumulation reduces the expression of the global nitrogen homeostasis-modulating NtcA regulon by affecting 2-oxoglutarate levels. Communications Biology. 6(1). 1285–1285.
6.
Usui, Naotaka, Akihiko Kondo, Kazumi Matsuda, et al.. (2023). Mesial temporal lobe epilepsy with amygdalar hamartoma-like lesion: Is it a distinct syndrome?. Epilepsy Research. 192. 107140–107140. 1 indexed citations
7.
Kawaguchi, Hideo, Kenji Takada, Masakazu Toyoshima, et al.. (2021). Recent advances in lignocellulosic biomass white biotechnology for bioplastics. Bioresource Technology. 344(Pt B). 126165–126165. 39 indexed citations
8.
Fujiwara, Ryosuke, Shuhei Noda, Tsutomu Tanaka, & Akihiko Kondo. (2020). Metabolic engineering of Escherichia coli for shikimate pathway derivative production from glucose–xylose co-substrate. Nature Communications. 11(1). 102 indexed citations
9.
Okano, Kenji, Shinji Hama, Tsutomu Tanaka, et al.. (2018). Metabolic Engineering of Lactobacillus plantarum for Direct l‐Lactic Acid Production From Raw Corn Starch. Biotechnology Journal. 13(5). e1700517–e1700517. 28 indexed citations
10.
Wang, Julie, Farid N. Faruqu, Julio Benı́tez, et al.. (2018). Engineering Human Epidermal Growth Receptor 2-Targeting Hepatitis B Virus Core Nanoparticles for siRNA Delivery in Vitro and in Vivo. ACS Applied Nano Materials. 1(7). 3269–3282. 21 indexed citations
11.
Liu, Zhuo, Shih‐Hsin Ho, Kengo Sasaki, et al.. (2016). Engineering of a novel cellulose-adherent cellulolytic Saccharomyces cerevisiae for cellulosic biofuel production. Scientific Reports. 6(1). 24550–24550. 54 indexed citations
13.
Zhang, Yixing, Amit Kumar, Philip R. Hardwidge, et al.. (2015). d ‐lactic acid production from renewable lignocellulosic biomass via genetically modified Lactobacillus plantarum. Biotechnology Progress. 32(2). 271–278. 41 indexed citations
14.
Hama, Shinji, et al.. (2014). Scale-up of an enzymatic biodiesel production system.. 92(6). 262–269. 1 indexed citations
15.
Tsuge, Yota, Hideo Kawaguchi, Kengo Sasaki, Tsutomu Tanaka, & Akihiko Kondo. (2014). Two-step production of d-lactate from mixed sugars by growing and resting cells of metabolically engineered Lactobacillus plantarum. Applied Microbiology and Biotechnology. 98(11). 4911–4918. 20 indexed citations
16.
Nishimura, Yoshihiro, et al.. (2012). Granting specificity for breast cancer cells using a hepatitis B core particle with a HER2-targeted affibody molecule. The Journal of Biochemistry. 153(3). 251–256. 15 indexed citations
17.
Kikuchi, Yoichiro, Takao Yasuhara, Takashi Agari, et al.. (2010). Urinary 8‐OHdG elevations in a partial lesion rat model of parkinson's disease correlate with behavioral symptoms and nigrostriatal dopaminergic depletion. Journal of Cellular Physiology. 226(5). 1390–1398. 26 indexed citations
20.
Tamalampudi, Sriappareddy, Md. Mahabubur Rahman Talukder, Shinji Hama, et al.. (2007). Development of recombinant Aspergillus oryzae whole-cell biocatalyst expressing lipase-encoding gene from Candida antarctica. Applied Microbiology and Biotechnology. 75(2). 387–395. 50 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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