Koichi Fukase
- Immunology top 0.1%
- Immune Response and Inflammation 96
- Immune Cell Function and Interaction 23
- Microbiology top 0.1%
- Antimicrobial Peptides and Activities 33
- Endocrinology top 0.5%
- Organic Chemistry top 0.5%
- Carbohydrate Chemistry and Synthesis 105
- Click Chemistry and Applications 24
- Molecular Biology top 0.5%
- Glycosylation and Glycoproteins Research 110
- Chemical Synthesis and Analysis 63
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- Monoclonal and Polyclonal Antibodies Research 40
- Co-authors
- Shoichi KusumotoYukari FujimotoNaohiro InoharaKatsunori TanakaGabriel NúñezKensuke MiyakeMasahito HashimotoMasato Oikawa
- Cited by
- ImmunologyMicrobiologyEndocrinology
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Koichi Fukase
361 papers receiving 14.5k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Immunology 7.6k
- Microbiology 1.8k
- Endocrinology 716
- Organic Chemistry 2.9k
- Molecular Biology 6.2k
Countries citing papers authored by Koichi Fukase
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
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
The 25 scholars most cited alongside Koichi Fukase, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 35 | |
| 15 | 2019 | 18 | |
| 16 | 2018 | 7 | |
| 17 | 2013 | 3 | |
| 18 | 2013 | 27 | |
| 19 | New Labeling Method of Biomolecules via Rapid Azaelectrocyclization : Application to PET Imaging | 2008 | 1 |
| 20 | 2006 | 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), Immune Response and Inflammation (96 papers), Chemical Synthesis and Analysis (63 papers), Monoclonal and Polyclonal Antibodies Research (40 papers), Antimicrobial Peptides and Activities (33 papers), Click Chemistry and Applications (24 papers) and Immune Cell Function and Interaction (23 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.