Kunihiko Fukuchi
- Biochemistry top 5%
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria 13
- Pharmacology top 5%
- Epidemiology top 10%
- Herpesvirus Infections and Treatments 6
- Cytomegalovirus and herpesvirus research 5
-
- Bacterial biofilms and quorum sensing 11
-
- Cancer-related Molecular Pathways 10
-
- Antimicrobial Resistance in Staphylococcus 9
-
- Bacterial Identification and Susceptibility Testing 6
-
- Immune Cell Function and Interaction 5
- Co-authors
- Meihan NonoyamaHiroshi SakagamiAkiko TanakaShigeru TomoyasuNobuyoshi TsuruokaM. SudoHiroyuki WatanabeK Gomi
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (3 papers)Blood (1 paper)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Kunihiko Fukuchi
84 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Applied Microbiology and Biotechnology 55
- Biochemistry 94
- Molecular Medicine 72
- Pharmacology 96
- Epidemiology 362
Countries citing papers authored by Kunihiko Fukuchi
This map shows the geographic impact of Kunihiko Fukuchi'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 Kunihiko Fukuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunihiko Fukuchi more than expected).
Fields of papers citing papers by Kunihiko Fukuchi
This network shows the impact of papers produced by Kunihiko Fukuchi. 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 Kunihiko Fukuchi. The network helps show where Kunihiko Fukuchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kunihiko Fukuchi, 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 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 2 | |
| 4 | 2019 | 16 | |
| 5 | 2017 | 15 | |
| 6 | 2016 | 68 | |
| 7 | 2014 | 3 | |
| 8 | 2013 | 26 | |
| 9 | 2008 | 13 | |
| 10 | 2004 | 9 | |
| 11 | 2002 | 15 | |
| 12 | 1999 | 18 | |
| 13 | 1998 | 22 | |
| 14 | 1997 | 4 | |
| 15 | 1997 | 16 | |
| 16 | 1996 | 6 | |
| 17 | 1995 | 37 | |
| 18 | 1994 | 78 | |
| 19 | 1993 | 8 | |
| 20 | 1989 | 147 |
About Kunihiko Fukuchi
Kunihiko Fukuchi is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Endocrinology, having authored 88 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (13 papers), Bacterial biofilms and quorum sensing (11 papers), Cancer-related Molecular Pathways (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Herpesvirus Infections and Treatments (6 papers), Bacterial Identification and Susceptibility Testing (6 papers), Immune Cell Function and Interaction (5 papers) and Cytomegalovirus and herpesvirus research (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (55 citations), Biochemistry (94 citations) and Molecular Medicine (72 citations). Kunihiko Fukuchi has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Meihan Nonoyama, Hiroshi Sakagami, Akiko Tanaka, Shigeru Tomoyasu, Nobuyoshi Tsuruoka, M. Sudo, Hiroyuki Watanabe, K Gomi, Tsutomu Hatano and Yasuo Inoue. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.
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.