Fumihiro Kawai
- Hepatology top 10%
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria 3
- Epidemiology top 10%
- Endocrinology top 10%
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- Photosynthetic Processes and Mechanisms 7
- RNA and protein synthesis mechanisms 5
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- Salmonella and Campylobacter epidemiology 3
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- Bacteriophages and microbial interactions 3
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- Light effects on plants 3
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- Algal biology and biofuel production 3
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- Enzyme Structure and Function 3
- Co-authors
- Sam‐Yong ParkJeremy R. H. TameE. ObayashiHisashi YoshidaNaoya ShibayamaKyosuke NagataAtsushi KawaguchiDavid I. Roper
- Journals
- Journal of Molecular Biology (3 papers)Proteins Structure Function and Bioinformatics (2 papers)Bioscience Biotechnology and Biochemistry (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Fumihiro Kawai
26 papers receiving 902 citations
Peers
Comparison fields: 5 of 86
- Hepatology 113
- Molecular Medicine 52
- Epidemiology 361
- Endocrinology 47
- Molecular Biology 494
Countries citing papers authored by Fumihiro Kawai
This map shows the geographic impact of Fumihiro Kawai'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 Fumihiro Kawai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumihiro Kawai more than expected).
Fields of papers citing papers by Fumihiro Kawai
This network shows the impact of papers produced by Fumihiro Kawai. 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 Fumihiro Kawai. The network helps show where Fumihiro Kawai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fumihiro Kawai, 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 | 2022 | 1 | |
| 2 | 2022 | 4 | |
| 3 | 2021 | 3 | |
| 4 | 2019 | 23 | |
| 5 | 2016 | 38 | |
| 6 | 2016 | 94 | |
| 7 | 2015 | 68 | |
| 8 | 2012 | 2 | |
| 9 | 2012 | 57 | |
| 10 | 2012 | 20 | |
| 11 | 2011 | 51 | |
| 12 | 2010 | 1 | |
| 13 | 2010 | 58 | |
| 14 | 2009 | 9 | |
| 15 | 2009 | 24 | |
| 16 | 2009 | 32 | |
| 17 | 2008 | 218 | |
| 18 | 2008 | 9 | |
| 19 | 2007 | 17 | |
| 20 | 2006 | 12 |
About Fumihiro Kawai
Fumihiro Kawai is a scholar working on Structural Biology, Molecular Medicine and Toxicology, having authored 26 papers that have together received 908 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (7 papers), RNA and protein synthesis mechanisms (5 papers), Salmonella and Campylobacter epidemiology (3 papers), Bacteriophages and microbial interactions (3 papers), Antibiotic Resistance in Bacteria (3 papers), Light effects on plants (3 papers), Algal biology and biofuel production (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Hepatology (113 citations), Molecular Medicine (52 citations) and Epidemiology (361 citations). Fumihiro Kawai has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Sam‐Yong Park, Jeremy R. H. Tame, E. Obayashi, Hisashi Yoshida, Naoya Shibayama, Kyosuke Nagata, Atsushi Kawaguchi, David I. Roper, N. Tajima and Hye‐Jeong Yeo. Their work appears in journals such as Journal of Molecular Biology, Proteins Structure Function and Bioinformatics, Bioscience Biotechnology and Biochemistry, Journal of Biological Chemistry 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.