Hiroki Shirai

2.5k total citations
48 papers, 1.9k citations indexed

About

Hiroki Shirai is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Materials Chemistry. According to data from OpenAlex, Hiroki Shirai has authored 48 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 16 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Materials Chemistry. Recurrent topics in Hiroki Shirai's work include Monoclonal and Polyclonal Antibodies Research (16 papers), Glycosylation and Glycoproteins Research (11 papers) and Protein Structure and Dynamics (9 papers). Hiroki Shirai is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (16 papers), Glycosylation and Glycoproteins Research (11 papers) and Protein Structure and Dynamics (9 papers). Hiroki Shirai collaborates with scholars based in Japan, United Kingdom and United States. Hiroki Shirai's co-authors include Haruki Nakamura, Akinori Kidera, Daisuke Kuroda, Masato Kobori, Kenji Mizuguchi, Shinji Soga, N. Hirayama, Matthew P. Jacobson, Tom L. Blundell and Koji Furukawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Hiroki Shirai

46 papers receiving 1.9k citations

Peers

Hiroki Shirai
Olan Dolezal Australia
Dimitrios Morikis United States
Mats Wikström Sweden
Martin Frank Germany
James Cornette United States
Christine Yueh United States
Dinakar M. Salunke India
Pavlína Řezáčová Czechia
Gwo‐Yu Chuang United States
Dorothy Beckett United States
Olan Dolezal Australia
Hiroki Shirai
Citations per year, relative to Hiroki Shirai Hiroki Shirai (= 1×) peers Olan Dolezal

Countries citing papers authored by Hiroki Shirai

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Shirai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroki Shirai

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Shirai. A scholar is included among the top collaborators of Hiroki Shirai 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 Hiroki Shirai. Hiroki Shirai 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.
Kamoshita, Maki, Hiroki Shirai, Hiroko Nakamura, et al.. (2025). Development of the membrane ceiling method for in vitro spermatogenesis. Scientific Reports. 15(1). 625–625. 3 indexed citations
2.
Hiraoka, Takehiro, Shizu Aikawa, Daisuke Mashiko, et al.. (2025). An ex vivo uterine system captures implantation, embryogenesis, and trophoblast invasion via maternal-embryonic signaling. Nature Communications. 16(1). 5755–5755. 3 indexed citations
3.
Kuroda, Daisuke, Masato Kiyoshi, Makoto Nakakido, et al.. (2019). Exploring designability of electrostatic complementarity at an antigen-antibody interface directed by mutagenesis, biophysical analysis, and molecular dynamics simulations. Scientific Reports. 9(1). 4482–4482. 37 indexed citations
4.
Yagi, Masanori, Nirianne Palacpac, Kazuya Ito, et al.. (2016). Antibody titres and boosting after natural malaria infection in BK-SE36 vaccine responders during a follow-up study in Uganda. Scientific Reports. 6(1). 34363–34363. 12 indexed citations
5.
Shirai, Hiroki, Catherine Prades, Randi Vita, et al.. (2014). Antibody informatics for drug discovery. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1844(11). 2002–2015. 55 indexed citations
6.
Osawa, Kayo, Katsumi Shigemura, Atsushi Iguchi, et al.. (2013). Modulation of O‐antigen chain length by the wzz gene in Escherichia coli O157 influences its sensitivities to serum complement. Microbiology and Immunology. 57(9). 616–623. 13 indexed citations
7.
8.
Kuroda, Daisuke, Hiroki Shirai, Matthew P. Jacobson, & Haruki Nakamura. (2012). Computer-aided antibody design. Protein Engineering Design and Selection. 25(10). 507–522. 176 indexed citations
9.
Hirakura, Yutaka, et al.. (2011). Quantitative evaluation of protein conformation in pharmaceuticals using cross-linking reactions coupled with LC–MS/MS analysis. Journal of Pharmaceutical and Biomedical Analysis. 55(3). 574–582. 3 indexed citations
10.
Horii, Toshihiro, Hiroki Shirai, Jie Li, et al.. (2010). Evidences of protection against blood-stage infection of Plasmodium falciparum by the novel protein vaccine SE36. Parasitology International. 59(3). 380–386. 54 indexed citations
11.
Kuroda, Daisuke, Hiroki Shirai, Masato Kobori, & Haruki Nakamura. (2008). Systematic classification of CDR‐L3 in antibodies: Implications of the light chain subtypes and the VL–VH interface. Proteins Structure Function and Bioinformatics. 75(1). 139–146. 49 indexed citations
12.
Kuroda, Daisuke, Hiroki Shirai, Masato Kobori, & Haruki Nakamura. (2008). Structural classification of CDR‐H3 revisited: A lesson in antibody modeling. Proteins Structure Function and Bioinformatics. 73(3). 608–620. 97 indexed citations
13.
Yoshida, Akiko, Akiko Sakurai, Tsuneo Uchiyama, et al.. (2005). Comparative study on the structure and cytopathogenic activity of HIV Vpr/Vpx proteins. Microbes and Infection. 8(1). 10–15. 30 indexed citations
14.
Shirai, Hiroki & Kenji Mizuguchi. (2003). Prediction of the structure and function of AstA and AstB, the first two enzymes of the arginine succinyltransferase pathway of arginine catabolism. FEBS Letters. 555(3). 505–510. 13 indexed citations
15.
Shirai, Hiroki, Tom L. Blundell, & Kenji Mizuguchi. (2001). A novel superfamily of enzymes that catalyze the modification of guanidino groups. Trends in Biochemical Sciences. 26(8). 465–468. 97 indexed citations
16.
Furukawa, Koji, Hiroki Shirai, Takachika Azuma, & Haruki Nakamura. (2001). A Role of the Third Complementarity-determining Region in the Affinity Maturation of an Antibody. Journal of Biological Chemistry. 276(29). 27622–27628. 28 indexed citations
17.
Bakker, Paul I. W. de, Alex Bateman, David F. Burke, et al.. (2001). HOMSTRAD: adding sequence information to structure-based alignments of homologous protein families. Bioinformatics. 17(8). 748–749. 45 indexed citations
18.
Shirai, Hiroki, et al.. (1999). 新規アルドースレダクターゼ阻害剤としてのベンズオキサゾリンとベンズイミダゾリン誘導体 Part1 最適化推進. Medicinal Chemistry Research. 9. 631–642. 3 indexed citations
19.
Shirai, Hiroki, Akinori Kidera, & Haruki Nakamura. (1999). H3‐rules: identification of CDR‐H3 structures in antibodies. FEBS Letters. 455(1-2). 188–197. 130 indexed citations
20.
Shirai, Hiroki, Akinori Kidera, & Haruki Nakamura. (1996). Structural classification of CDR‐H3 in antibodies. FEBS Letters. 399(1-2). 1–8. 176 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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