Ken Umemura
- Biochemistry top 0.5%
- Sulfur Compounds in Biology 4
- Amino Acid Enzymes and Metabolism 2
- Geriatrics and Gerontology top 5%
- Spectroscopy top 5%
- Toxicology top 10%
- Bioactive Compounds and Antitumor Agents 5
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- Fungal and yeast genetics research 7
- Cancer therapeutics and mechanisms 5
- Microbial Metabolic Engineering and Bioproduction 5
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- Inflammatory Bowel Disease 4
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- Microbial Natural Products and Biosynthesis 3
- Co-authors
- Hideo KimuraMari IshigamiKeiko Hiraki-KamonKazuyuki IshiiYuki OgasawaraYuka KimuraYasuo NagaiHaruyuki Atomi
- Journals
- Analytical Biochemistry (1 paper)Biochemical and Biophysical Research Communications (2 papers)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Ken Umemura
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 101
- Biochemistry 628
- Endocrine and Autonomic Systems 237
- Geriatrics and Gerontology 60
- Spectroscopy 148
- Toxicology 30
Countries citing papers authored by Ken Umemura
This map shows the geographic impact of Ken Umemura'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 Ken Umemura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Umemura more than expected).
Fields of papers citing papers by Ken Umemura
This network shows the impact of papers produced by Ken Umemura. 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 Ken Umemura. The network helps show where Ken Umemura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ken Umemura, 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 | 2020 | 5 | |
| 2 | 2017 | 6 | |
| 3 | 2012 | 12 | |
| 4 | 2009 | 65 | |
| 5 | 2008 | 16 | |
| 6 | 2008 | 51 | |
| 7 | 2008 | 21 | |
| 8 | 2006 | 55 | |
| 9 | 2005 | 28 | |
| 10 | 2005 | 194 | |
| 11 | 2002 | 12 | |
| 12 | 2002 | 54 | |
| 13 | 1999 | 17 | |
| 14 | 1998 | 18 | |
| 15 | 1997 | 3 | |
| 16 | 1997 | 12 | |
| 17 | 1996 | 53 | |
| 18 | 1996 | 3 | |
| 19 | 1995 | 11 | |
| 20 | 1995 | 1 |
About Ken Umemura
Ken Umemura is a scholar working on Toxicology, Biochemistry and Endocrine and Autonomic Systems, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (7 papers), Bioactive Compounds and Antitumor Agents (5 papers), Cancer therapeutics and mechanisms (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Inflammatory Bowel Disease (4 papers), Sulfur Compounds in Biology (4 papers), Microbial Natural Products and Biosynthesis (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Biochemistry (628 citations), Endocrine and Autonomic Systems (237 citations) and Geriatrics and Gerontology (60 citations). Ken Umemura has collaborated with scholars based in Japan and United States. Frequent co-authors include Hideo Kimura, Mari Ishigami, Keiko Hiraki-Kamon, Kazuyuki Ishii, Yuki Ogasawara, Yuka Kimura, Yasuo Nagai, Haruyuki Atomi, Tamotsu Kanai and Mitsuyoshi Ueda. Their work appears in journals such as Analytical Biochemistry, Biochemical and Biophysical Research Communications and Annals of the New York 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.