Teruki Honma

5.2k total citations · 1 hit paper
124 papers, 3.5k citations indexed

About

Teruki Honma is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Teruki Honma has authored 124 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 38 papers in Computational Theory and Mathematics and 22 papers in Organic Chemistry. Recurrent topics in Teruki Honma's work include Computational Drug Discovery Methods (38 papers), Protein Structure and Dynamics (13 papers) and Trypanosoma species research and implications (12 papers). Teruki Honma is often cited by papers focused on Computational Drug Discovery Methods (38 papers), Protein Structure and Dynamics (13 papers) and Trypanosoma species research and implications (12 papers). Teruki Honma collaborates with scholars based in Japan, United Kingdom and Nigeria. Teruki Honma's co-authors include Shigeyuki Yokoyama, Tomohiro Sato, Akiko Tanaka, Hitomi Yuki, Mikako Shirouzu, Kaori Fukuzawa, Chiduru Watanabe, Hajime Morishima, Kiyohiko Igarashi and Tetsuo Nagano and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Teruki Honma

118 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A small-molecule AdipoR agonist for type 2 diabetes and short life in obesity

2013 598 citations Teruki Honma, Mikako Shirouzu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Teruki Honma Japan	31	1.8k	724	701	576	319	124	3.5k
Shuichi Hirono Japan	33	2.7k 1.5×	951 1.3×	705 1.0×	694 1.2×	577 1.8×	178	5.6k
Rengül Çetin-Atalay Türkiye	33	2.0k 1.1×	779 1.1×	670 1.0×	266 0.5×	358 1.1×	140	3.8k
Fabrizio Giordanetto Sweden	29	2.7k 1.5×	807 1.1×	789 1.1×	292 0.5×	524 1.6×	73	4.1k
Susan L. McGovern United States	31	2.3k 1.3×	607 0.8×	1.1k 1.6×	472 0.8×	777 2.4×	127	5.5k
Sandro Cosconati Italy	38	2.5k 1.4×	1.2k 1.7×	561 0.8×	257 0.4×	488 1.5×	136	4.3k
Yong Xu China	39	2.9k 1.6×	716 1.0×	387 0.6×	340 0.6×	729 2.3×	171	5.1k
Xiayang Qiu United States	34	2.4k 1.4×	804 1.1×	266 0.4×	697 1.2×	624 2.0×	61	4.9k
Hwangseo Park South Korea	30	1.4k 0.8×	648 0.9×	472 0.7×	191 0.3×	295 0.9×	117	2.6k
Stephan C. Schürer United States	38	2.7k 1.5×	776 1.1×	814 1.2×	248 0.4×	424 1.3×	130	4.5k
V. Joachim Haupt Germany	19	2.1k 1.2×	647 0.9×	1.1k 1.6×	214 0.4×	280 0.9×	23	3.6k

Countries citing papers authored by Teruki Honma

Since Specialization

Citations

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

Fields of papers citing papers by Teruki Honma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teruki Honma

This figure shows the co-authorship network connecting the top 25 collaborators of Teruki Honma. A scholar is included among the top collaborators of Teruki Honma 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 Teruki Honma. Teruki Honma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ishida, Shoichi, Tomohiro Sato, Teruki Honma, & Kei Terayama. (2025). Large language models open new way of AI-assisted molecule design for chemists. Journal of Cheminformatics. 17(1). 36–36. 5 indexed citations

Ishida, Shoichi, et al.. (2025). A data-driven generative strategy to avoid reward hacking in multi-objective molecular design. Nature Communications. 16(1). 2409–2409. 4 indexed citations

Matsumoto, Shigeyuki, Ryo Kanada, Biao Ma, et al.. (2025). Precision spatiotemporal analysis of large-scale compound–protein interactions through molecular dynamics simulation. PNAS Nexus. 4(3). pgaf094–pgaf094.

Takayama, Ken‐ichi, Seiji Matsuoka, Shungo Adachi, et al.. (2023). Identification of small-molecule inhibitors against the interaction of RNA-binding protein PSF and its target RNA for cancer treatment. PNAS Nexus. 2(6). pgad203–pgad203. 5 indexed citations

Ishida, Shoichi, et al.. (2022). Selective Inhibitor Design for Kinase Homologs Using Multiobjective Monte Carlo Tree Search. Journal of Chemical Information and Modeling. 62(22). 5351–5360. 12 indexed citations

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

Takayama, Ken‐ichi, Teruki Honma, Takashi Suzuki, et al.. (2021). Targeting Epigenetic and Posttranscriptional Gene Regulation by PSF Impairs Hormone Therapy–Refractory Cancer Growth. Cancer Research. 81(13). 3495–3508. 15 indexed citations

Nara, Takeshi, Yukari Nakagawa, Keiko Tsuganezawa, et al.. (2021). The ubiquinone synthesis pathway is a promising drug target for Chagas disease. PLoS ONE. 16(2). e0243855–e0243855. 5 indexed citations

Kato, Koichiro, Teruki Honma, & Kaori Fukuzawa. (2020). Intermolecular interaction among Remdesivir, RNA and RNA-dependent RNA polymerase of SARS-CoV-2 analyzed by fragment molecular orbital calculation. Journal of Molecular Graphics and Modelling. 100. 107695–107695. 25 indexed citations

10.

Radwan, Mohamed O., Daisuke Takaya, Ryoko Koga, et al.. (2020). Interruption of Vif/Elongin C interaction: In silico and experimental elucidation of the underlying molecular mechanism of benzimidazole-based APOBEC3G stabilizers. Bioorganic & Medicinal Chemistry. 28(8). 115409–115409. 9 indexed citations

11.

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

12.

Sato, Tomohiro, et al.. (2018). Construction of an integrated database for hERG blocking small molecules. PLoS ONE. 13(7). e0199348–e0199348. 43 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

14.

Inaoka, D.K., Maiko Iida, Satoshi Hashimoto, et al.. (2017). Design and synthesis of potent substrate-based inhibitors of the Trypanosoma cruzi dihydroorotate dehydrogenase. Bioorganic & Medicinal Chemistry. 25(4). 1465–1470. 13 indexed citations

15.

Inaoka, D.K., T. Shiba, Dan Sato, et al.. (2015). Structural Insights into the Molecular Design of Flutolanil Derivatives Targeted for Fumarate Respiration of Parasite Mitochondria. International Journal of Molecular Sciences. 16(7). 15287–15308. 69 indexed citations

16.

Kato, Miki, Keiko Tsuganezawa, Naoko Ogawa, et al.. (2010). A fluorescence correlation spectroscopy-based assay for fragment screening of slowly inhibiting protein–peptide interaction inhibitors. Analytical Biochemistry. 402(1). 26–31. 12 indexed citations

17.

Sakiyama, Yojiro, Hitomi Yuki, & Teruki Honma. (2008). Prediction of Human Liver Microsomal Stability with Machine Learning.. International Conference on Artificial Intelligence. 784–786. 1 indexed citations

18.

Kataoka, Takao, et al.. (2000). FD‐891, a structural analogue of concanamycin A that does not affect vacuolar acidification or perforin activity, yet potently prevents cytotoxic T lymphocyte‐mediated cytotoxicity through the blockage of conjugate formation. Immunology. 100(2). 170–177. 17 indexed citations

19.

Takahashi, Shinya, Mikio Nakajima, Hideyuki Haruyama, et al.. (1994). Hydantocidin and cornexistin: new herbicidal antibiotics.. 74–84. 6 indexed citations

20.

Ohtsuka, M, Hirohisa Yano, Toshinobu Sato, et al.. (1990). Lung fibrosis in hypersensitivity pneumonitis: association with the increased ratio of CD4/CD8 in bronchoalveolar lavage T-lymphocytes.. American Review of Respiratory Disease. 141. 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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