Chiduru Watanabe

1.4k total citations
55 papers, 898 citations indexed

About

Chiduru Watanabe is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Chiduru Watanabe has authored 55 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 18 papers in Computational Theory and Mathematics and 11 papers in Materials Chemistry. Recurrent topics in Chiduru Watanabe's work include Computational Drug Discovery Methods (18 papers), Protein Structure and Dynamics (16 papers) and RNA and protein synthesis mechanisms (8 papers). Chiduru Watanabe is often cited by papers focused on Computational Drug Discovery Methods (18 papers), Protein Structure and Dynamics (16 papers) and RNA and protein synthesis mechanisms (8 papers). Chiduru Watanabe collaborates with scholars based in Japan, Australia and Norway. Chiduru Watanabe's co-authors include Kaori Fukuzawa, Shigenori Tanaka, Yoshio Okiyama, Teruki Honma, Yuji Mochizuki, Tatsuya Nakano, Hirofumi Watanabe, Takayuki Tsukamoto, Daisuke Takaya and Takuhiro Ito and has published in prestigious journals such as Nucleic Acids Research, Molecular Cell and The Journal of Physical Chemistry B.

In The Last Decade

Chiduru Watanabe

51 papers receiving 891 citations

Peers

Chiduru Watanabe
Stewart A. Adcock United States
Chuan Li United States
Brian K. Radak United States
V. Mohan United States
Brian N. Dominy United States
Chiduru Watanabe
Citations per year, relative to Chiduru Watanabe Chiduru Watanabe (= 1×) peers Hirofumi Watanabe

Countries citing papers authored by Chiduru Watanabe

Since Specialization
Citations

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

Fields of papers citing papers by Chiduru Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiduru Watanabe

This figure shows the co-authorship network connecting the top 25 collaborators of Chiduru Watanabe. A scholar is included among the top collaborators of Chiduru Watanabe 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 Chiduru Watanabe. Chiduru Watanabe 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.
Osada, Naoki, Hirokazu Kubota, Hiroo Koyama, et al.. (2025). Discovery of a novel class NSD2 inhibitor for multiple myeloma with t(4;14)+. PubMed. 2(2). 100091–100091. 1 indexed citations
2.
Takaya, Daisuke, Shinichi Ohno, Shinya Tanaka, et al.. (2024). Quantum chemical calculation dataset for representative protein folds by the fragment molecular orbital method. Scientific Data. 11(1). 1164–1164.
3.
Moriwaki, Hirotomo, Yusuke Kawashima, Chiduru Watanabe, et al.. (2024). FMOe: Preprocessing and Visualizing Package of the Fragment Molecular Orbital Method for Molecular Operating Environment and Its Applications in Covalent Ligand and Metalloprotein Analyses. Journal of Chemical Information and Modeling. 64(18). 6927–6937. 3 indexed citations
4.
Fukuzawa, Kaori, Chiduru Watanabe, & Koichiro Kato. (2023). Structure and Mechanism Analysis of Proteins by Fragment Molecular Orbital Calculations. Nihon Kessho Gakkaishi. 65(1). 17–25.
5.
Saito, Ryosuke, et al.. (2022). FMO calculations for zinc metalloprotease:Fragmentation of amino-acid residues coordinated to zinc ion. 22(0). 21–25. 1 indexed citations
6.
Watanabe, Kazuki, Chiduru Watanabe, Teruki Honma, et al.. (2021). Intermolecular Interaction Analyses on SARS-CoV-2 Spike Protein Receptor Binding Domain and Human Angiotensin-Converting Enzyme 2 Receptor-Blocking Antibody/Peptide Using Fragment Molecular Orbital Calculation. The Journal of Physical Chemistry Letters. 12(16). 4059–4066. 23 indexed citations
7.
Fukuzawa, Kaori, Koichiro Kato, Chiduru Watanabe, et al.. (2021). Special Features of COVID-19 in the FMODB: Fragment Molecular Orbital Calculations and Interaction Energy Analysis of SARS-CoV-2-Related Proteins. Journal of Chemical Information and Modeling. 61(9). 4594–4612. 15 indexed citations
8.
Tanaka, Shigenori, Chiduru Watanabe, Teruki Honma, et al.. (2020). Identification of correlated inter-residue interactions in protein complex based on the fragment molecular orbital method. Journal of Molecular Graphics and Modelling. 100. 107650–107650. 17 indexed citations
9.
Sengoku, Toru, Takehiro Suzuki, Naoshi Dohmae, et al.. (2018). Structural basis of protein arginine rhamnosylation by glycosyltransferase EarP. Nature Chemical Biology. 14(4). 368–374. 18 indexed citations
10.
Takaya, Daisuke, Koji Inaka, Kenji Takenuki, et al.. (2018). Characterization of crystal water molecules in a high-affinity inhibitor and hematopoietic prostaglandin D synthase complex by interaction energy studies. Bioorganic & Medicinal Chemistry. 26(16). 4726–4734. 14 indexed citations
11.
Watanabe, Hirofumi, Chiduru Watanabe, Yoshio Okiyama, et al.. (2018). Towards good correlation between fragment molecular orbital interaction energies and experimental IC50 for ligand binding: A case study of p38 MAP kinase. Computational and Structural Biotechnology Journal. 16. 421–434. 18 indexed citations
12.
Iwasaki, Shintaro, W. Iwasaki, Mari Takahashi, et al.. (2018). The Translation Inhibitor Rocaglamide Targets a Bimolecular Cavity between eIF4A and Polypurine RNA. Molecular Cell. 73(4). 738–748.e9. 129 indexed citations
13.
Watanabe, Chiduru, Hirofumi Watanabe, Kaori Fukuzawa, et al.. (2017). Theoretical Analysis of Activity Cliffs among Benzofuranone-Class Pim1 Inhibitors Using the Fragment Molecular Orbital Method with Molecular Mechanics Poisson–Boltzmann Surface Area (FMO+MM-PBSA) Approach. Journal of Chemical Information and Modeling. 57(12). 2996–3010. 39 indexed citations
15.
Watanabe, Chiduru, et al.. (2016). Hydration of ligands of influenza virus neuraminidase studied by the fragment molecular orbital method. Journal of Molecular Graphics and Modelling. 69. 144–153. 10 indexed citations
16.
17.
Watanabe, Chiduru, Kaori Fukuzawa, Yoshio Okiyama, et al.. (2013). Three- and four-body corrected fragment molecular orbital calculations with a novel subdividing fragmentation method applicable to structure-based drug design. Journal of Molecular Graphics and Modelling. 41. 31–42. 47 indexed citations
18.
Watanabe, Chiduru & Yoshiyuki Ono. (2009). Phonon softening in Peierls transition in an anisotropic triangular lattice. Physica E Low-dimensional Systems and Nanostructures. 42(4). 1239–1242. 1 indexed citations
19.
Watanabe, Chiduru, et al.. (2006). Phonon Softening and Multimode Peierls Transition in a 2D Anisotropic Square-Lattice Electron-Lattice System with a Half-Filled Electronic Band. AIP conference proceedings. 850. 1321–1322. 4 indexed citations
20.
Nakata, Junko, et al.. (1997). Preference of feed supplemented butyric acid and lactic acid in sheep. 1997(34). 20–24. 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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