Keizo Sekiya
- Molecular Biology
- Biochemistry top 2%
- Plant Science top 10%
- Pharmacology top 5%
- Organic Chemistry top 10%
- Co-authors
- Hiromichi OkudaDaigo AbeTakeshi SaitoShigeru ArichiTadahiro NagataTakahiko ShiosakaNoriko KohyamaKatsuhisa Honda
- Topics
- Adipose Tissue and Metabolism (6 papers)Ginseng Biological Effects and Applications (5 papers)Phytochemicals and Antioxidant Activities (5 papers)
- Cited by
- BiochemistryPharmacology
- Journals
- Journal of Agricultural and Food ChemistryBiochemical and Biophysical Research CommunicationsJournal of Lipid Research
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Keizo Sekiya
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 491
- Biochemistry 304
- Plant Science 265
- Pharmacology 226
- Organic Chemistry 189
Countries citing papers authored by Keizo Sekiya
This map shows the geographic impact of Keizo Sekiya'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 Keizo Sekiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keizo Sekiya more than expected).
Fields of papers citing papers by Keizo Sekiya
This network shows the impact of papers produced by Keizo Sekiya. 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 Keizo Sekiya. The network helps show where Keizo Sekiya may publish in the future.
Co-authorship network of co-authors of Keizo Sekiya
This figure shows the co-authorship network connecting the top 25 collaborators of Keizo Sekiya. A scholar is included among the top collaborators of Keizo Sekiya 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 Keizo Sekiya. Keizo Sekiya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 25 | |
| 3 | 24 | |
| 4 | 56 | |
| 5 | 106 | |
| 6 | 9 | |
| 7 | 7 | |
| 8 | 67 | |
| 9 | 122 | |
| 10 | 183 | |
| 11 | 19 | |
| 12 | 62 | |
| 13 | 110 | |
| 14 | 고려홍삼에서 분리된 비사포닌 화합물의 생물활성 ( Biological Activities of Non-saponin Compounds Isolated from Korean Red Ginseng ) | 2 |
| 15 | Biological Activities of Non-saponin Compounds Isolated from Korean Red Ginseng | 10 |
| 16 | Effect of Acidic Polysaccharide of Red Ginseng on Lipolytic action of Toxohormone-L from Cancerous Ascites Fluid | 3 |
| 17 | 41 | |
| 18 | 28 | |
| 19 | 2 | |
| 20 | 153 |
About Keizo Sekiya
Keizo Sekiya is a scholar working on Biochemistry, Biochemistry and Pharmacology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Ginseng Biological Effects and Applications (5 papers) and Phytochemicals and Antioxidant Activities (5 papers). The work is most often cited by research in Biochemistry (304 citations), Pharmacology (148 citations) and Biochemistry (122 citations). Keizo Sekiya has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Hiromichi Okuda, Daigo Abe, Takeshi Saito, Shigeru Arichi, Hiromichi Okuda, Tadahiro Nagata, Takahiko Shiosaka, Noriko Kohyama, Katsuhisa Honda and Hiroshi Masuno. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Biochemical and Biophysical Research Communications and Journal of Lipid Research.
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.