Koichi Fukase

19.0k total citations · 3 hit papers
373 papers, 14.8k citations indexed

About

Koichi Fukase is a scholar working on Molecular Biology, Organic Chemistry and Immunology. According to data from OpenAlex, Koichi Fukase has authored 373 papers receiving a total of 14.8k indexed citations (citations by other indexed papers that have themselves been cited), including 219 papers in Molecular Biology, 155 papers in Organic Chemistry and 124 papers in Immunology. Recurrent topics in Koichi Fukase's work include Glycosylation and Glycoproteins Research (110 papers), Carbohydrate Chemistry and Synthesis (105 papers) and Immune Response and Inflammation (96 papers). Koichi Fukase is often cited by papers focused on Glycosylation and Glycoproteins Research (110 papers), Carbohydrate Chemistry and Synthesis (105 papers) and Immune Response and Inflammation (96 papers). Koichi Fukase collaborates with scholars based in Japan, United States and Germany. Koichi Fukase's co-authors include Shoichi Kusumoto, Yukari Fujimoto, Naohiro Inohara, Katsunori Tanaka, Gabriel Núñez, Kensuke Miyake, Masahito Hashimoto, Masato Oikawa, Simon J. Foster and Umeharu Ohto and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Koichi Fukase

361 papers receiving 14.5k citations

Hit Papers

3 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.

Host Recognition of Bacterial Muramyl Dipeptide Mediated through NOD2

2003 1.3k citations Naohiro Inohara, Koichi Fukase et al. Journal of Biological Chemistry profile →
An essential role for NOD1 in host recognition of bacterial peptidoglycan containing diaminopimelic acid

2003 1.0k citations Yasuo Horie, Junya Masumoto et al. profile →
Toll-like receptor 4 imparts ligand-specific recognition of bacterial lipopolysaccharide

2000 655 citations Shoichi Kusumoto, Koichi Fukase et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Koichi Fukase Japan	51	7.6k	6.2k	2.9k	1.9k	1.8k	373	14.8k
Ulrich Zähringer Germany	72	5.3k 0.7×	7.6k 1.2×	2.0k 0.7×	1.8k 1.0×	2.0k 1.1×	247	16.4k
Shoichi Kusumoto Japan	49	6.3k 0.8×	4.8k 0.8×	2.2k 0.8×	1.3k 0.7×	1.8k 1.0×	244	11.6k
Helmut Brade Germany	57	4.5k 0.6×	4.8k 0.8×	2.5k 0.9×	1.4k 0.8×	2.2k 1.2×	273	11.3k
Yoshihiro Hayakawa Japan	70	12.3k 1.6×	7.6k 1.2×	1.5k 0.5×	1.4k 0.7×	532 0.3×	343	20.6k
Paul B. Savage United States	61	7.6k 1.0×	4.2k 0.7×	1.9k 0.6×	1.0k 0.5×	2.3k 1.3×	290	15.3k
Ernst Rietschel Germany	53	4.0k 0.5×	3.9k 0.6×	1.2k 0.4×	955 0.5×	1.2k 0.6×	159	10.6k
István Tóth Australia	58	3.6k 0.5×	7.5k 1.2×	1.7k 0.6×	1.2k 0.6×	1.7k 0.9×	547	14.3k
Makoto Matsumoto Japan	44	10.1k 1.3×	5.7k 0.9×	820 0.3×	3.0k 1.6×	842 0.5×	173	17.9k
De Yang United States	53	7.0k 0.9×	4.7k 0.8×	833 0.3×	1.1k 0.6×	5.7k 3.1×	134	13.2k
Hakon Leffler Sweden	78	12.0k 1.6×	12.3k 2.0×	1.6k 0.5×	1.7k 0.9×	404 0.2×	279	19.0k

Countries citing papers authored by Koichi Fukase

Since Specialization

Citations

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

Fields of papers citing papers by Koichi Fukase

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Fukase

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Jiajia, Shanshan Qin, Fengyuan Hu, et al.. (2025). Preclinical evaluation of [211At]At-AuNP-ABDMPL16 for targeted alpha therapy in Melanoma. European Journal of Nuclear Medicine and Molecular Imaging. 52(12). 4497–4510.

Nurlelasari, Nurlelasari, et al.. (2024). In Vitro Anti-Inflammatory Study of Limonoids Isolated from Chisocheton Plants. Current Issues in Molecular Biology. 46(1). 909–922.

Manabe, Yoshiyuki, Yosuke Tanaka, Yuka Yokoyama, et al.. (2024). Cage-Shaped Borate Catalysts Bearing Precisely Controlled Lewis Acidity and Their Application in Glycosylations. The Journal of Organic Chemistry. 89(21). 15630–15635. 1 indexed citations

Kaneda‐Nakashima, Kazuko, Yoshifumi Shirakami, K Hisada, et al.. (2024). Development of LAT1-Selective Nuclear Medicine Therapeutics Using Astatine-211. International Journal of Molecular Sciences. 25(22). 12386–12386. 2 indexed citations

Hirano, Yasuhiro, Yoshino Kubota, Tomoko Shindo, et al.. (2024). Disordered region of nuclear membrane protein Bqt4 recruits phosphatidic acid to the nuclear envelope to maintain its structural integrity. Journal of Biological Chemistry. 300(7). 107430–107430. 3 indexed citations

Mayanti, Tri, Rani Maharani, Sofa Fajriah, et al.. (2023). Dysoticans F–H: three unprecedented dimeric cadinanes from Dysoxylum parasiticum (Osbeck) Kosterm. stem bark. RSC Advances. 13(14). 9370–9376. 7 indexed citations

Manabe, Yoshiyuki & Koichi Fukase. (2023). Innovative Vaccine Strategy: Self-Adjuvanting Conjugate Vaccines. Methods in molecular biology. 2613. 55–72. 3 indexed citations

Kadonaga, Yuichiro, Yoshifumi Shirakami, Tadashi Watabe, et al.. (2023). Evaluation of Astatine-211-Labeled Fibroblast Activation Protein Inhibitor (FAPI): Comparison of Different Linkers with Polyethylene Glycol and Piperazine. International Journal of Molecular Sciences. 24(10). 8701–8701. 19 indexed citations

Tanaka, Daiki, et al.. (2022). Synthesis of Cage‐Shaped Borates Bearing Pyrenylmethyl Groups: Efficient Lewis Acid Catalyst for Photoactivated Glycosylations Driven by Intramolecular Excimer Formation. Chemistry - A European Journal. 28(62). e202202284–e202202284. 4 indexed citations

10.

Manabe, Yoshiyuki, Takuya Matsumoto, Yuichiro Kadonaga, et al.. (2021). Revisiting Glycosylations Using Glycosyl Fluoride by BF₃·Et₂O: Activation of Disarmed Glycosyl Fluorides with High Catalytic Turnover. Organic Letters. 24(1). 6–10. 14 indexed citations

11.

Kaneda‐Nakashima, Kazuko, Zijian Zhang, Yoshiyuki Manabe, et al.. (2020). α‐Emitting cancer therapy using ²¹¹At‐AAMT targeting LAT1. Cancer Science. 112(3). 1132–1140. 35 indexed citations

12.

Feng, Qi, et al.. (2019). Syntheses and Functional Studies of Self‐Adjuvanting Anti‐HER2 Cancer Vaccines. Chemistry - An Asian Journal. 14(23). 4268–4273. 9 indexed citations

13.

Tanaka, Daiki, Yuichiro Kadonaga, Yoshiyuki Manabe, et al.. (2019). Synthesis of Cage-Shaped Aluminum Aryloxides: Efficient Lewis Acid Catalyst for Stereoselective Glycosylation Driven by Flexible Shift of Four- to Five-Coordination. Journal of the American Chemical Society. 141(44). 17466–17471. 18 indexed citations

14.

Lin, Wei‐Chen, Medel Manuel L. Zulueta, Yoshiyuki Manabe, et al.. (2018). Single‐Step Per‐O‐Sulfonation of Sugar Oligomers with Concomitant 1,6‐Anhydro Bridge Formation for Binding Fibroblast Growth Factors. ChemBioChem. 20(2). 237–240. 2 indexed citations

15.

Pradipta, Ambara R., Hidefumi Mukai, Yasuyoshi Watanabe, et al.. (2018). Expanding the Applicability of the Metal Labeling of Biomolecules by the RIKEN Click Reaction: A Case Study with Gallium‐68 Positron Emission Tomography. ChemBioChem. 19(19). 2055–2060. 7 indexed citations

16.

Tanaka, Katsunori & Koichi Fukase. (2012). Development of Azaelectrocyclization-Based Labeling and Application to Noninvasive Imaging and Targeting Using <I>N</I>-Glycan Derivatives—In Pursuit of <I>N</I>-Glycan Functions on Proteins, Dendrimers, and Living Cells—. Trends in Glycoscience and Glycotechnology. 24(136). 47–64. 2 indexed citations

17.

Kawasaki, Akiko, et al.. (2008). Synthesis of Diaminopimelic Acid Containing Peptidoglycan Fragments and Tracheal Cytotoxin (TCT) and Investigation of Their Biological Functions. Chemistry - A European Journal. 14(33). 10318–10330. 45 indexed citations

18.

Masumoto, Junya, Kangkang Yang, Sooryanarayana Varambally, et al.. (2006). Nod1 acts as an intracellular receptor to stimulate chemokine production and neutrophil recruitment in vivo. The Journal of Experimental Medicine. 203(1). 203–213. 176 indexed citations

19.

Kusumoto, Shoichi & Koichi Fukase. (2006). Synthesis of endotoxic principle of bacterial lipopolysaccharide and its recognition by the innate immune systems of hosts. The Chemical Record. 6(6). 333–343. 24 indexed citations

20.

Fukase, Koichi, Seiichi Inamura, Akiko Kawasaki, et al.. (2005). Mechanism of Immunostimulating Action of Peptidoglycan, Investigation with Synthetic Partial Structures. 2004. 109–112. 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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