Yukari Fujimoto
- Immunology top 1%
- Molecular Biology top 5%
- Epidemiology top 5%
- Organic Chemistry top 5%
- Microbiology top 0.5%
- Co-authors
- Koichi FukaseHaruhiko TakadaNaohiro InoharaAkiko UeharaMizuho HasegawaGabriel NúñezShoichi KusumotoPeter C. Lucas
- Topics
- Immune Response and Inflammation (55 papers)Immune Cell Function and Interaction (23 papers)Antimicrobial Peptides and Activities (17 papers)
- Cited by
- ImmunologyMicrobiologyEndocrinology
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryAngewandte Chemie International Edition
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yukari Fujimoto
124 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 128
- Immunology 2.4k
- Molecular Biology 1.7k
- Epidemiology 709
- Organic Chemistry 538
- Microbiology 533
Countries citing papers authored by Yukari Fujimoto
This map shows the geographic impact of Yukari Fujimoto'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 Yukari Fujimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukari Fujimoto more than expected).
Fields of papers citing papers by Yukari Fujimoto
This network shows the impact of papers produced by Yukari Fujimoto. 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 Yukari Fujimoto. The network helps show where Yukari Fujimoto may publish in the future.
Co-authorship network of co-authors of Yukari Fujimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Yukari Fujimoto. A scholar is included among the top collaborators of Yukari Fujimoto 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 Yukari Fujimoto. Yukari Fujimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 10 | |
| 6 | 40 | |
| 7 | 27 | |
| 8 | 18 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 34 | |
| 12 | 19 | |
| 13 | 30 | |
| 14 | 45 | |
| 15 | 2 | |
| 16 | 176 | |
| 17 | 22 | |
| 18 | Mechanism of Immunostimulating Action of Peptidoglycan, Investigation with Synthetic Partial Structures | 1 |
| 19 | 35 | |
| 20 | 7 |
About Yukari Fujimoto
Yukari Fujimoto is a scholar working on Microbiology, Immunology and Emergency Medical Services, having authored 130 papers that have together received 4.5k indexed citations. Recurring topics across this work include Immune Response and Inflammation (55 papers), Immune Cell Function and Interaction (23 papers) and Antimicrobial Peptides and Activities (17 papers). The work is most often cited by research in Immunology (2.4k citations), Microbiology (533 citations) and Endocrinology (234 citations). Yukari Fujimoto has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Koichi Fukase, Haruhiko Takada, Naohiro Inohara, Akiko Uehara, Mizuho Hasegawa, Gabriel Núñez, Shoichi Kusumoto, Peter C. Lucas, Hiroyasu Nakano and Yasuo Suda. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.