Koichi Fukase

19.0k citations
373 papers · 14.8k indexed · 3 hit papers · h-index 51
Topics
Glycosylation and Glycoproteins Research (110 papers)Carbohydrate Chemistry and Synthesis (105 papers)Immune Response and Inflammation (96 papers)

In The Last Decade

Koichi Fukase

361 papers receiving 14.5k citations

Hit Papers

Host Recognition of Bacterial Muramyl Dipeptide Mediated ...20002026200820172003200320004008001.2k

Peers

Koichi Fukase
Comparison fields: 5 of 151
  • Immunology 7.6k
  • Molecular Biology 6.2k
  • Organic Chemistry 2.9k
  • Epidemiology 1.9k
  • Microbiology 1.8k
Replace Shoichi Kusumoto with:
Shoichi Kusumoto Japan
Ulrich Zähringer Germany
Gordon D. Brown United Kingdom
Ernst Rietschel Germany
Helmut Brade Germany
Klaus Brandenburg Germany
Makoto Matsumoto Japan
Paul B. Savage United States
Charles Bevins United States
Yoshihiro Hayakawa Japan
Koichi Fukase relative to Shoichi Kusumoto Japan Shoichi Kusumoto's profile →
Citations per field
00.5×3.9×
Shoichi Kusumoto · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 2
5 9
6 0
7 3
8 0
9 2
10 7
11 3
12 4
13 14
14 35
15 18
16 7
17 3
18 27
19
New Labeling Method of Biomolecules via Rapid Azaelectrocyclization : Application to PET Imaging
1
20 176

About Koichi Fukase

Koichi Fukase is a scholar working on Microbiology, Immunology and Organic Chemistry, having authored 373 papers that have together received 14.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (110 papers), Carbohydrate Chemistry and Synthesis (105 papers) and Immune Response and Inflammation (96 papers). The work is most often cited by research in Immunology (7.6k citations), Microbiology (1.8k citations) and Endocrinology (716 citations). Koichi Fukase has collaborated with scholars based in Japan, United States and Germany. Frequent 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. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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