Akira Onoda

2.5k total citations
98 papers, 2.1k citations indexed

About

Akira Onoda is a scholar working on Molecular Biology, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Akira Onoda has authored 98 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 28 papers in Organic Chemistry and 26 papers in Materials Chemistry. Recurrent topics in Akira Onoda's work include Hemoglobin structure and function (14 papers), Electrocatalysts for Energy Conversion (12 papers) and Chemical Synthesis and Analysis (11 papers). Akira Onoda is often cited by papers focused on Hemoglobin structure and function (14 papers), Electrocatalysts for Energy Conversion (12 papers) and Chemical Synthesis and Analysis (11 papers). Akira Onoda collaborates with scholars based in Japan, United States and Germany. Akira Onoda's co-authors include Takashi Hayashi, Koji Oohora, Yohei Sano, Taka‐aki Okamura, Norikazu Ueyama, Ulrich Schwaneberg, Kazuki Fukumoto, H. Yamamoto, Yusuke Yamada and Mototsugu Doi and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Akira Onoda

94 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akira Onoda Japan 27 814 680 555 464 409 98 2.1k
Koji Oohora Japan 21 820 1.0× 531 0.8× 611 1.1× 164 0.4× 307 0.8× 72 1.6k
Nicholas Marshall United States 22 864 1.1× 307 0.5× 441 0.8× 382 0.8× 517 1.3× 38 2.1k
Christopher J. Sunderland United States 16 409 0.5× 249 0.4× 575 1.0× 273 0.6× 459 1.1× 22 1.4k
Giovanna Ghirlanda United States 24 1.1k 1.4× 341 0.5× 443 0.8× 473 1.0× 207 0.5× 68 1.8k
Lijin Shu Germany 22 644 0.8× 724 1.1× 781 1.4× 196 0.4× 915 2.2× 36 2.2k
Richard A. Decréau United States 29 701 0.9× 410 0.6× 1.1k 1.9× 597 1.3× 633 1.5× 65 2.5k
Shiliang Tian United States 18 744 0.9× 746 1.1× 709 1.3× 624 1.3× 479 1.2× 35 2.6k
Julio C. de Paula United States 26 1.5k 1.8× 282 0.4× 1.2k 2.1× 357 0.8× 433 1.1× 42 2.8k
Peter E. Doan United States 25 788 1.0× 304 0.4× 462 0.8× 504 1.1× 781 1.9× 56 2.0k
Brian R. Gibney United States 33 1.9k 2.4× 290 0.4× 864 1.6× 579 1.2× 795 1.9× 68 3.2k

Countries citing papers authored by Akira Onoda

Since Specialization
Citations

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

Fields of papers citing papers by Akira Onoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Onoda

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Onoda. A scholar is included among the top collaborators of Akira Onoda 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 Akira Onoda. Akira Onoda 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.
Onoda, Akira, et al.. (2025). Accurate and Rapid Prediction of Protein p K a : Protein Language Models Reveal the Sequence–p K a Relationship. Journal of Chemical Theory and Computation. 21(7). 3752–3764.
2.
Kato, Masaru, Siqi Xie, Shun Sato, et al.. (2024). Cu, Fe, N‐doped Carbon Nanotubes Prepared through Silica Coating for Selective Oxygen Reduction to Water in Acidic Media. ChemCatChem. 16(15). 2 indexed citations
3.
Onoda, Akira, et al.. (2023). Accurate and Fast Prediction of Intrinsically Disordered Protein by Multiple Protein Language Models and Ensemble Learning. Journal of Chemical Information and Modeling. 64(7). 2901–2911. 11 indexed citations
4.
Kato, Shunsuke, Akira Onoda, Ulrich Schwaneberg, & Takashi Hayashi. (2023). Evolutionary Engineering of a Cp*Rh(III) Complex-Linked Artificial Metalloenzyme with a Chimeric β-Barrel Protein Scaffold. Journal of the American Chemical Society. 145(15). 8285–8290. 15 indexed citations
5.
Matsumoto, Koki, Akira Onoda, Tomoyuki Kitano, et al.. (2021). Thermally Controlled Construction of Fe–Nx Active Sites on the Edge of a Graphene Nanoribbon for an Electrocatalytic Oxygen Reduction Reaction. ACS Applied Materials & Interfaces. 13(13). 15101–15112. 28 indexed citations
6.
7.
Kato, Shunsuke, et al.. (2020). Directed Evolution of a Cp*RhIII‐Linked Biohybrid Catalyst Based on a Screening Platform with Affinity Purification. ChemBioChem. 22(4). 679–685. 16 indexed citations
8.
Oohora, Koji, Akira Onoda, & Takashi Hayashi. (2019). Hemoproteins Reconstituted with Artificial Metal Complexes as Biohybrid Catalysts. Accounts of Chemical Research. 52(4). 945–954. 128 indexed citations
9.
Onoda, Akira, et al.. (2019). Site-Specific Modification of Proteins through N-Terminal Azide Labeling and a Chelation-Assisted CuAAC Reaction. Bioconjugate Chemistry. 30(9). 2427–2434. 20 indexed citations
10.
Onoda, Akira, et al.. (2019). Triazolecarbaldehyde Reagents for One‐Step N‐Terminal Protein Modification. ChemBioChem. 21(9). 1274–1278. 18 indexed citations
11.
Onoda, Akira, Yuta Tanaka, Koki Matsumoto, et al.. (2018). Bimetallic M/N/C catalysts prepared from π-expanded metal salen precursors toward an efficient oxygen reduction reaction. RSC Advances. 8(6). 2892–2899. 23 indexed citations
12.
Kitagishi, Hiroaki, Takehiro Ohta, Akira Onoda, et al.. (2018). A water-soluble supramolecular complex that mimics the heme/copper hetero-binuclear site of cytochromecoxidase. Chemical Science. 9(7). 1989–1995. 30 indexed citations
13.
Tanaka, Yuta, Akira Onoda, Shin‐ichi Okuoka, et al.. (2018). Nonprecious‐metal Fe/N/C Catalysts Prepared from π‐Expanded Fe Salen Precursors toward an Efficient Oxygen Reduction Reaction. ChemCatChem. 10(4). 653–653. 2 indexed citations
14.
Sauer, Daniel F., Mehdi D. Davari, Leilei Zhu, et al.. (2018). Cavity Size Engineering of a β-Barrel Protein Generates Efficient Biohybrid Catalysts for Olefin Metathesis. ACS Catalysis. 8(4). 3358–3364. 40 indexed citations
15.
Waki, Minoru, Dolores Esquivel, Akira Onoda, et al.. (2018). A Heterogeneous Hydrogen‐Evolution Catalyst Based on a Mesoporous Organosilica with a Diiron Catalytic Center Modelling [FeFe]‐Hydrogenase. ChemCatChem. 10(21). 4894–4899. 11 indexed citations
16.
Onoda, Akira, Takayuki Uchihashi, Hiroki Watanabe, et al.. (2017). Interdomain flip-flop motion visualized in flavocytochrome cellobiose dehydrogenase using high-speed atomic force microscopy during catalysis. Chemical Science. 8(9). 6561–6565. 26 indexed citations
17.
18.
Onoda, Akira, Urara Hasegawa, Toshiaki Enoki, et al.. (2017). Mitochondria‐Targeting Polyamine–Protoporphyrin Conjugates for Photodynamic Therapy. ChemMedChem. 13(1). 15–19. 18 indexed citations
19.
Onoda, Akira, Kazuki Fukumoto, Marcus Arlt, et al.. (2012). A rhodium complex-linked β-barrel protein as a hybrid biocatalyst for phenylacetylene polymerization. Chemical Communications. 48(78). 9756–9756. 68 indexed citations
20.
Yamamura, Takeshi, et al.. (2009). Porphyrin Arrays Responsive to Additives. Fluorescence Tuning. Journal of the American Chemical Society. 131(33). 11719–11726. 18 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Koji Oohora Breakdown of academic impact, for papers by Nicholas Marshall Breakdown of academic impact, for papers by Christopher J. Sunderland Breakdown of academic impact, for papers by Giovanna Ghirlanda Breakdown of academic impact, for papers by Lijin Shu Breakdown of academic impact, for papers by Richard A. Decréau Breakdown of academic impact, for papers by Shiliang Tian Breakdown of academic impact, for papers by Julio C. de Paula Breakdown of academic impact, for papers by Peter E. Doan Breakdown of academic impact, for papers by Brian R. Gibney
Rankless by CCL
2026