Jun‐ichi Nikawa
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis 8
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease 15
- Cellular transport and secretion 10
- Molecular Biology top 2%
- Fungal and yeast genetics research 33
- Microbial Metabolic Engineering and Bioproduction 9
- Protein Kinase Regulation and GTPase Signaling 8
- Aging top 5%
- Clinical Biochemistry top 2%
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- Phytase and its Applications 11
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- Biofuel production and bioconversion 7
- Co-authors
- Michael WiglerSatoshi YamashitaJeffrey FieldShunichi YamashitaDaniel BroekLinda RodgersRichard A. LernerIan A. Wilson
- Journals
- European Journal of Biochemistry (8 papers)Journal of Bacteriology (8 papers)The Journal of Biochemistry (7 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Jun‐ichi Nikawa
74 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Biochemistry 671
- Cell Biology 1.4k
- Molecular Biology 3.9k
- Aging 47
- Clinical Biochemistry 154
Countries citing papers authored by Jun‐ichi Nikawa
This map shows the geographic impact of Jun‐ichi Nikawa'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 Jun‐ichi Nikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐ichi Nikawa more than expected).
Fields of papers citing papers by Jun‐ichi Nikawa
This network shows the impact of papers produced by Jun‐ichi Nikawa. 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 Jun‐ichi Nikawa. The network helps show where Jun‐ichi Nikawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun‐ichi Nikawa, 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 | 2009 | 11 | |
| 2 | 2008 | 15 | |
| 3 | 2008 | 13 | |
| 4 | 2006 | 4 | |
| 5 | 2005 | 5 | |
| 6 | 2001 | 62 | |
| 7 | 1999 | 35 | |
| 8 | 1997 | 52 | |
| 9 | 1997 | 7 | |
| 10 | 1996 | 91 | |
| 11 | 1995 | 18 | |
| 12 | 1994 | 29 | |
| 13 | 1994 | 16 | |
| 14 | 1993 | 34 | |
| 15 | 1992 | 164 | |
| 16 | 1992 | 101 | |
| 17 | 1992 | 33 | |
| 18 | 1988 | 327 | |
| 19 | 1988 | 67 | |
| 20 | 1981 | 85 |
About Jun‐ichi Nikawa
Jun‐ichi Nikawa is a scholar working on Biochemistry, Cell Biology, Molecular Biology, Clinical Biochemistry and Biotechnology, having authored 74 papers that have together received 4.9k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (33 papers), Endoplasmic Reticulum Stress and Disease (15 papers), Phytase and its Applications (11 papers), Cellular transport and secretion (10 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Lipid metabolism and biosynthesis (8 papers) and Biofuel production and bioconversion (7 papers). The work is most often cited by research in Biochemistry (671 citations), Cell Biology (1.4k citations), Molecular Biology (3.9k citations), Aging (47 citations) and Clinical Biochemistry (154 citations). Jun‐ichi Nikawa has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Michael Wigler, Satoshi Yamashita, Jeffrey Field, Shunichi Yamashita, Daniel Broek, Linda Rodgers, Richard A. Lerner, Ian A. Wilson, Tsutomu Kodaki and Philip M. Sass. Their work appears in journals such as European Journal of Biochemistry, Journal of Bacteriology, The Journal of Biochemistry, Bioscience Biotechnology and Biochemistry and Journal of Biological Chemistry.
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.