Keiko Gomi
- Molecular Biology
- Cellular and Molecular Neuroscience
- Biomedical Engineering
- Clinical Biochemistry top 10%
- Biochemistry
- Co-authors
- Naoki KajiyamaKozo HirokawaMasako MaedaKatsutoshi ItoS InouyeHidetoshi ArakawaAkihito IshigamiKentaro Shimokado
- Topics
- Advanced Glycation End Products research (5 papers)bioluminescence and chemiluminescence research (4 papers)Diet, Metabolism, and Disease (3 papers)
- Journals
- Journal of Biological ChemistryAnalytical BiochemistryBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesPhilippines
In The Last Decade
Keiko Gomi
19 papers receiving 323 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 227
- Cellular and Molecular Neuroscience 59
- Biomedical Engineering 47
- Clinical Biochemistry 42
- Biochemistry 36
Countries citing papers authored by Keiko Gomi
This map shows the geographic impact of Keiko Gomi'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 Keiko Gomi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Gomi more than expected).
Fields of papers citing papers by Keiko Gomi
This network shows the impact of papers produced by Keiko Gomi. 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 Keiko Gomi. The network helps show where Keiko Gomi may publish in the future.
Co-authorship network of co-authors of Keiko Gomi
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Gomi. A scholar is included among the top collaborators of Keiko Gomi 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 Keiko Gomi. Keiko Gomi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | Development of novel fructosyl peptide oxidases and their applications for the clinical diagnosis for diabetes | 1 |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 11 | |
| 12 | 38 | |
| 13 | 38 | |
| 14 | 35 | |
| 15 | 34 | |
| 16 | 28 | |
| 17 | 84 | |
| 18 | 4 | |
| 19 | [Sensitive enzyme immunoassay by using chemiluminescence for the determination of serum c-erbB-2]. | 3 |
About Keiko Gomi
Keiko Gomi is a scholar working on Clinical Biochemistry, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 327 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (5 papers), bioluminescence and chemiluminescence research (4 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Clinical Biochemistry (42 citations), Biochemistry (36 citations) and Biophysics (25 citations). Keiko Gomi has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include Naoki Kajiyama, Kozo Hirokawa, Masako Maeda, Katsutoshi Ito, S Inouye, Hidetoshi Arakawa, Akihito Ishigami, Kentaro Shimokado, Yoshitaka Kondo and Tsuyoshi Chiba. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry and Biochemical and Biophysical Research Communications.
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.