Hikaru Koga

629 total citations · 1 hit paper
9 papers, 414 citations indexed

About

Hikaru Koga is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biomaterials. According to data from OpenAlex, Hikaru Koga has authored 9 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Molecular Biology and 3 papers in Biomaterials. Recurrent topics in Hikaru Koga's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Silk-based biomaterials and applications (2 papers). Hikaru Koga is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Silk-based biomaterials and applications (2 papers). Hikaru Koga collaborates with scholars based in Japan and United States. Hikaru Koga's co-authors include Takashi Kiuchi, Susumu Katsuma, Yutaka Suzuki, Keisuke Shoji, Munetaka Kawamoto, Sumio Sugano, Toru Shimada, Masataka G. Suzuki, Shinpei Kawaoka and Genki Ishihara and has published in prestigious journals such as Nature, Blood and Journal of Materials Chemistry A.

In The Last Decade

Hikaru Koga

8 papers receiving 409 citations

Hit Papers

A single female-specific piRNA is the primary determiner ... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hikaru Koga Japan 5 213 206 164 122 46 9 414
Megumi Sumitani Japan 15 422 2.0× 137 0.7× 157 1.0× 55 0.5× 47 1.0× 31 619
Shuqing Chen China 9 203 1.0× 127 0.6× 161 1.0× 36 0.3× 37 0.8× 13 355
Henrique Marques‐Souza Brazil 9 299 1.4× 54 0.3× 93 0.6× 90 0.7× 34 0.7× 15 403
Eitan Glick United States 9 353 1.7× 241 1.2× 275 1.7× 119 1.0× 100 2.2× 11 595
Zhitao Yu China 13 311 1.5× 96 0.5× 244 1.5× 103 0.8× 33 0.7× 36 500
Masahiro Ajimura Japan 10 582 2.7× 126 0.6× 117 0.7× 111 0.9× 29 0.6× 14 725
Huaijiang Zhang China 9 249 1.2× 70 0.3× 204 1.2× 70 0.6× 32 0.7× 19 408
María Fernanda Ruiz Spain 17 390 1.8× 291 1.4× 372 2.3× 153 1.3× 98 2.1× 32 798
Motoe Sasanuma Japan 8 220 1.0× 98 0.5× 105 0.6× 51 0.4× 18 0.4× 15 348
Jayendra Nath Shukla United States 13 677 3.2× 258 1.3× 522 3.2× 182 1.5× 110 2.4× 17 932

Countries citing papers authored by Hikaru Koga

Since Specialization
Citations

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

Fields of papers citing papers by Hikaru Koga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hikaru Koga

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

All Works

9 of 9 papers shown
1.
2.
Koga, Hikaru, Takashi Yamano, Juan Felipe Betancur, et al.. (2023). Efficient production of bispecific antibody by FAST-Ig TM and its application to NXT007 for the treatment of hemophilia A. mAbs. 15(1). 2222441–2222441. 13 indexed citations
3.
Koga, Hikaru, Hirotake Shiraiwa, Zenjiro Sampei, et al.. (2023). Monte Carlo Thompson sampling-guided design for antibody engineering. mAbs. 15(1). 2244214–2244214. 1 indexed citations
4.
Koga, Hikaru, et al.. (2021). Relative distribution enhancement: a new factor for the evaluation of synergistic solvent extraction. Journal of Chemical Technology & Biotechnology. 96(10). 2827–2836. 3 indexed citations
5.
Yamaguchi, Kazuki, Tetsuhiro Soeda, Motohiko Sato, et al.. (2020). Pharmacology and Pharmacokinetics of NXT007; Emicizumab-Based Engineered Fixa/Fx Bispecific Antibody with Improved Properties. Blood. 136(Supplement 1). 19–19. 4 indexed citations
6.
Kawamoto, Munetaka, Hikaru Koga, Takashi Kiuchi, et al.. (2015). Sexually biased transcripts at early embryonic stages of the silkworm depend on the sex chromosome constitution. Gene. 560(1). 50–56. 8 indexed citations
7.
Kiuchi, Takashi, Hikaru Koga, Munetaka Kawamoto, et al.. (2014). A single female-specific piRNA is the primary determiner of sex in the silkworm. Nature. 509(7502). 633–636. 370 indexed citations breakdown →
8.
Matsuda, Yasuaki, Masao Yonemura, Hikaru Koga, et al.. (2013). Synthesis, crystal structure, and ionic conductivity of tunnel structure phosphates, RbMg1−xH2x(PO3)3·y(H2O). Journal of Materials Chemistry A. 1(48). 15544–15544. 14 indexed citations
9.
Uchiyama, Tomoki, Hikaru Koga, & Ienari Iguchi. (2004). Novel preparation method for superconducting magnesium-diboride thin films with high-Tc. Physica C Superconductivity. 412-414. 1362–1365.

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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