Daisuke Kohda

8.3k total citations
150 papers, 6.7k citations indexed

About

Daisuke Kohda is a scholar working on Molecular Biology, Materials Chemistry and Immunology. According to data from OpenAlex, Daisuke Kohda has authored 150 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Molecular Biology, 27 papers in Materials Chemistry and 21 papers in Immunology. Recurrent topics in Daisuke Kohda's work include Glycosylation and Glycoproteins Research (39 papers), Protein Structure and Dynamics (27 papers) and Enzyme Structure and Function (27 papers). Daisuke Kohda is often cited by papers focused on Glycosylation and Glycoproteins Research (39 papers), Protein Structure and Dynamics (27 papers) and Enzyme Structure and Function (27 papers). Daisuke Kohda collaborates with scholars based in Japan, United States and United Kingdom. Daisuke Kohda's co-authors include Katsumi Maenaka, Toshiya Endo, Fuyuhiko Inagaki, Hidekazu Hiroaki, Mayumi Igura, Yoshito Abe, Hideki Hatanaka, Takanori Muto, Kimiko Kuroki and Hideki Sumimoto and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Daisuke Kohda

146 papers receiving 6.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisuke Kohda Japan 47 4.6k 1.4k 732 642 629 150 6.7k
David Eramian United States 7 6.0k 1.3× 674 0.5× 813 1.1× 545 0.8× 488 0.8× 8 8.3k
M. S. Madhusudhan India 28 6.6k 1.4× 774 0.5× 838 1.1× 558 0.9× 547 0.9× 67 9.2k
Jens Schneider‐Mergener Germany 47 5.2k 1.1× 1.7k 1.1× 557 0.8× 1.1k 1.7× 666 1.1× 124 7.5k
Gilbert G. Privé Canada 48 6.5k 1.4× 679 0.5× 1.1k 1.5× 789 1.2× 695 1.1× 94 8.5k
Raymond J. Owens United Kingdom 46 3.8k 0.8× 1.0k 0.7× 628 0.9× 489 0.8× 364 0.6× 177 6.3k
Jianping Ding China 49 7.8k 1.7× 698 0.5× 921 1.3× 612 1.0× 404 0.6× 187 11.8k
Robert Esnouf United Kingdom 34 3.8k 0.8× 645 0.4× 454 0.6× 496 0.8× 491 0.8× 76 6.7k
Byung‐Ha Oh South Korea 44 4.4k 1.0× 1.3k 0.9× 583 0.8× 831 1.3× 763 1.2× 98 7.1k
Chad A. Brautigam United States 47 5.1k 1.1× 950 0.7× 673 0.9× 418 0.7× 1.5k 2.4× 137 7.7k
Hauke Lilie Germany 45 5.1k 1.1× 777 0.5× 776 1.1× 412 0.6× 742 1.2× 137 6.8k

Countries citing papers authored by Daisuke Kohda

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Kohda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Kohda

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Kohda. A scholar is included among the top collaborators of Daisuke Kohda 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 Daisuke Kohda. Daisuke Kohda 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.
Liu, Yiwei, Yoshiro Ito, Daisuke Kohda, et al.. (2025). The strategy used by naïve anti-PEG antibodies to capture flexible and featureless PEG chains. Journal of Controlled Release. 380. 396–403. 2 indexed citations
2.
Kong, Sam‐Geun, Atsushi Shimada, Keiko Hirose, et al.. (2023). CHLOROPLAST UNUSUAL POSITIONING 1 is a plant-specific actin polymerization factor regulating chloroplast movement. The Plant Cell. 36(4). 1159–1181. 12 indexed citations
3.
4.
Ariyama, Hirotaka, et al.. (2020). Two-State Exchange Dynamics in Membrane-Embedded Oligosaccharyltransferase Observed in Real-Time by High-Speed AFM. Journal of Molecular Biology. 432(22). 5951–5965. 1 indexed citations
5.
Hanawa‐Suetsugu, Kyoko, Yuzuru Itoh, Tamako Nishimura, et al.. (2019). Phagocytosis is mediated by two-dimensional assemblies of the F-BAR protein GAS7. Nature Communications. 10(1). 4763–4763. 25 indexed citations
6.
Kohda, Daisuke, et al.. (2019). A Radioisotope-free Oligosaccharyltransferase Assay Method. BIO-PROTOCOL. 9(5). e3186–e3186. 3 indexed citations
7.
Matsumoto, Masaki, et al.. (2014). Structural elucidation of an asparagine-linked oligosaccharide from the hyperthermophilic archaeon, Pyrococcus furiosus. Carbohydrate Research. 387. 30–36. 14 indexed citations
8.
Iwamoto, Chika, Katsuto Takenaka, Shingo Urata, et al.. (2013). The BALB/c-specific polymorphic SIRPA enhances its affinity for human CD47, inhibiting phagocytosis against human cells to promote xenogeneic engraftment. Experimental Hematology. 42(3). 163–171.e1. 37 indexed citations
9.
Matsumoto, Shunsuke, Atsushi Shimada, & Daisuke Kohda. (2013). Crystal structure of the C-terminal globular domain of the third paralog of the Archaeoglobus fulgidus oligosaccharyltransferases. BMC Structural Biology. 13(1). 11–11. 20 indexed citations
10.
Yamamoto, Hayashi, Shin Kawano, Takaki Momose, et al.. (2010). Dual role of the receptor Tom20 in specificity and efficiency of protein import into mitochondria. Proceedings of the National Academy of Sciences. 108(1). 91–96. 91 indexed citations
11.
Fukao, Masanori, Takayuki Obita, Fuminori Yoneyama, et al.. (2008). Complete Covalent Structure of Nisin Q, New Natural Nisin Variant, Containing Post-Translationally Modified Amino Acids. Bioscience Biotechnology and Biochemistry. 72(7). 1750–1755. 12 indexed citations
12.
13.
Shiroishi, Mitsunori, Kimiko Kuroki, Linda Rasubala, et al.. (2006). Structural basis for recognition of the nonclassical MHC molecule HLA-G by the leukocyte Ig-like receptor B2 (LILRB2/LIR2/ILT4/CD85d). Proceedings of the National Academy of Sciences. 103(44). 16412–16417. 210 indexed citations
14.
Ose, Toyoyuki, Katsumi Maenaka, Mitsunori Shiroishi, et al.. (2004). Crystal structure of a biologically functional form of PriB from Escherichia coli reveals a potential single-stranded DNA-binding site. Biochemical and Biophysical Research Communications. 326(4). 766–776. 30 indexed citations
15.
Mizukoshi, Toshimi, Taku Tanaka, Ken-ichi Arai, Daisuke Kohda, & Hisao Masai. (2003). A Critical Role of the 3′ Terminus of Nascent DNA Chains in Recognition of Stalled Replication Forks. Journal of Biological Chemistry. 278(43). 42234–42239. 47 indexed citations
16.
Liu, Lidong, et al.. (2001). Archaeal primase. Current Biology. 11(6). 452–456. 57 indexed citations
17.
Sato, Chiaki, Jae‐Hoon Kim, Yoshito Abe, et al.. (2000). Characterization of the N-Oligosaccharides Attached to the Atypical Asn-X-Cys Sequence of Recombinant Human Epidermal Growth Factor Receptor. The Journal of Biochemistry. 127(1). 65–72. 57 indexed citations
18.
Ikura, Teikichi, N. Gō, Daisuke Kohda, et al.. (1993). Secondary structural features of modules M2 and M3 of barnase in solution by NMR experiment and distance geometry calculation. Proteins Structure Function and Bioinformatics. 16(4). 341–356. 18 indexed citations
19.
Kohda, Daisuke, et al.. (1989). A Comparative ^1H NMR Study of Mouse α(1-53) and β(2-53) Epidermal Growth Factors.. 38. 64. 1 indexed citations
20.
Kohda, Daisuke & Fuyuhiko Inagaki. (1988). Complete Sequence-Specific 1H Nuclear Magnetic Resonance Assignments for Mouse Epidermal Growth Factor. The Journal of Biochemistry. 103(3). 554–571. 17 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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