Hideaki Umeyama

4.1k total citations · 1 hit paper
160 papers, 3.1k citations indexed

About

Hideaki Umeyama is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Hideaki Umeyama has authored 160 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 27 papers in Spectroscopy and 23 papers in Materials Chemistry. Recurrent topics in Hideaki Umeyama's work include Protein Structure and Dynamics (37 papers), Computational Drug Discovery Methods (20 papers) and Enzyme Structure and Function (18 papers). Hideaki Umeyama is often cited by papers focused on Protein Structure and Dynamics (37 papers), Computational Drug Discovery Methods (20 papers) and Enzyme Structure and Function (18 papers). Hideaki Umeyama collaborates with scholars based in Japan, United States and United Kingdom. Hideaki Umeyama's co-authors include Keiji Morokuma, Setsuko Nakagawa, Mitsuo Iwadate, Koji Ogata, Mayuko Takeda‐Shitaka, Y‐h. Taguchi, Kenji Akahane, Kenshu Kamiya, S. YONEDA and Shinichi Yamabe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Hideaki Umeyama

159 papers receiving 3.0k citations

Hit Papers

The origin of hydrogen bo... 1977 2026 1993 2009 1977 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideaki Umeyama Japan 28 1.4k 650 509 505 505 160 3.1k
Gábor Náray‐Szabó Hungary 26 1.3k 1.0× 554 0.9× 571 1.1× 423 0.8× 372 0.7× 145 2.9k
J.N. Scarsdale United States 30 1.6k 1.2× 633 1.0× 422 0.8× 339 0.7× 759 1.5× 85 2.8k
Jill E. Gready Australia 33 2.5k 1.8× 718 1.1× 592 1.2× 235 0.5× 458 0.9× 126 4.8k
Luis F. Pacios Spain 31 579 0.4× 1.4k 2.2× 464 0.9× 636 1.3× 525 1.0× 134 3.8k
Salvatore Profeta United States 13 2.6k 1.9× 773 1.2× 813 1.6× 438 0.9× 670 1.3× 21 4.3k
Daan P. Geerke Netherlands 29 1.9k 1.4× 858 1.3× 487 1.0× 244 0.5× 390 0.8× 67 3.4k
G. Alagona Italy 9 2.6k 1.9× 827 1.3× 706 1.4× 482 1.0× 646 1.3× 17 4.2k
F.R. Salemme United States 29 3.7k 2.7× 526 0.8× 604 1.2× 279 0.6× 435 0.9× 57 5.3k
Doree Sitkoff United States 17 2.6k 1.9× 877 1.3× 1.3k 2.5× 485 1.0× 577 1.1× 27 4.9k
Danilo Roccatano Germany 37 2.3k 1.7× 519 0.8× 495 1.0× 170 0.3× 337 0.7× 97 3.7k

Countries citing papers authored by Hideaki Umeyama

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Umeyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Umeyama

This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Umeyama. A scholar is included among the top collaborators of Hideaki Umeyama 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 Hideaki Umeyama. Hideaki Umeyama 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.
Ono, Atsushi, et al.. (2018). Ubiquitin-dependent proteolysis of CXCL7 leads to posterior longitudinal ligament ossification. PLoS ONE. 13(5). e0196204–e0196204. 13 indexed citations
2.
Taguchi, Y‐h., Mitsuo Iwadate, & Hideaki Umeyama. (2015). Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart disease. BMC Bioinformatics. 16(1). 30 indexed citations
3.
Umeyama, Hideaki, Mitsuo Iwadate, Toshihito Tanahashi, et al.. (2015). Development of novel hepatitis B virus capsid inhibitor using in silico screening. Biochemical and Biophysical Research Communications. 463(4). 1165–1175. 11 indexed citations
4.
Iwadate, Mitsuo, et al.. (2013). Discrimination of symbiotic/parasitic bacterial type III secretion system effector protein using principal component analysis (ニューロコンピューティング). IEICE technical report. Speech. 113(111). 47–54. 1 indexed citations
5.
Umeyama, Hideaki, et al.. (2013). Bioinformatic Screening of Autoimmune Disease Genes and Protein Structure Prediction with FAMS for Drug Discovery. Protein and Peptide Letters. 21(8). 828–839. 21 indexed citations
6.
Takeda‐Shitaka, Mayuko, et al.. (2006). FAMS Complex: A Fully Automated Homology Modeling System for Protein Complex Structures. Medicinal Chemistry. 2(2). 191–201. 6 indexed citations
7.
Takeda‐Shitaka, Mayuko, Genki Terashi, Daisuke Takaya, et al.. (2005). Protein structure prediction in CASP6 using CHIMERA and FAMS. Proteins Structure Function and Bioinformatics. 61(S7). 122–127. 10 indexed citations
8.
Takeda‐Shitaka, Mayuko, et al.. (2004). Protein Structure Prediction in Structure Based Drug Design. Current Medicinal Chemistry. 11(5). 551–558. 37 indexed citations
9.
Katsumi, Akira, Tetsuhito Kojima, Takao Senda, et al.. (1998). The Carboxyl-Terminal Region of Protein C Is Essential for Its Secretion. Blood. 91(10). 3784–3791. 24 indexed citations
10.
Ichinose, Akitada, Hiroaki Tsukamoto, Tomonori Izumi, et al.. (1998). Arg260‐Cys mutation in severe factor XIII deficiency: conformational change of the A subunit is predicted by molecular modelling and mechanics. British Journal of Haematology. 101(2). 264–272. 32 indexed citations
13.
Miyata, Toshiyuki, et al.. (1992). Prothrombin Salakta: substitution of glutamic acid-466 by alanine reduces the fibrinogen clotting activity and the esterase activity. Biochemistry. 31(33). 7457–7462. 47 indexed citations
14.
Iizuka, Kinji, Tetsuhide Kamijo, Hiromu Harada, et al.. (1988). New human renin inhibitory peptides. Angiotensinogen transition-state analogues containing novel Leu-Val replacement and a retro-inverso amide bond.. Chemical and Pharmaceutical Bulletin. 36(6). 2278–2281. 4 indexed citations
15.
Matsuzaki, Takao, Chizuko Sasaki, & Hideaki Umeyama. (1988). A Predicted Tertiary Structure of a Thrombin Inhibitor-Trypsin Complex Explains the Mechanisms of the Selective Inhibition of Thrombin, Factor Xa, Plasmin, and Trypsin1. The Journal of Biochemistry. 103(3). 537–543. 10 indexed citations
16.
Umeyama, Hideaki & Setsuko Nakagawa. (1982). The pKa value of His 57-Asp 102 couple in the active site of bovine pancreatic β-trypsin: A molecular orbital study. Journal of Theoretical Biology. 99(4). 759–775. 6 indexed citations
17.
Umeyama, Hideaki & Setsuko Nakagawa. (1981). Molecular orbital study of proton transfer energetics in the active site of papain by using methanethiol-imidazole-formic acid complex as a model.. Chemical and Pharmaceutical Bulletin. 29(4). 918–925. 3 indexed citations
18.
Umeyama, Hideaki, et al.. (1979). A ab initio moleular orbital study of molecular interactions between formic acid and ammonia.. Chemical and Pharmaceutical Bulletin. 27(5). 1112–1119. 5 indexed citations
19.
Morokuma, Keiji & Hideaki Umeyama. (1977). The origin of barriers to internal rotation. An energy decomposition study for CH3CH3, CH3NH2 and CH3OH. Chemical Physics Letters. 49(2). 333–337. 24 indexed citations
20.
Matsushita, Yasuo, Hideaki Umeyama, & IKUO MORIGUCHI. (1977). Purification and properties of Z protein from rabbit and rat liver.. Chemical and Pharmaceutical Bulletin. 25(4). 647–652. 5 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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