Keiji Kondô
- Molecular Biology top 2%
- Biochemistry top 0.5%
- Plant Science top 5%
- Food Science top 1%
- Pharmacology top 0.5%
- Co-authors
- Yuzo YamadaNorihiko MisawaMasayori InouyeToshiko SaitoSusumu KajiwaraPaul D. FraserTakeshi OhtaniYutaka Miura
- Topics
- Microbial Metabolic Engineering and Bioproduction (20 papers)Hops Chemistry and Applications (19 papers)Fungal and yeast genetics research (15 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Keiji Kondô
105 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 2.7k
- Biochemistry 727
- Plant Science 606
- Food Science 598
- Pharmacology 535
Countries citing papers authored by Keiji Kondô
This map shows the geographic impact of Keiji Kondô'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 Keiji Kondô with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiji Kondô more than expected).
Fields of papers citing papers by Keiji Kondô
This network shows the impact of papers produced by Keiji Kondô. 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 Keiji Kondô. The network helps show where Keiji Kondô may publish in the future.
Co-authorship network of co-authors of Keiji Kondô
This figure shows the co-authorship network connecting the top 25 collaborators of Keiji Kondô. A scholar is included among the top collaborators of Keiji Kondô 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 Keiji Kondô. Keiji Kondô is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 14 | |
| 3 | 24 | |
| 4 | 1 | |
| 5 | 57 | |
| 6 | 1 | |
| 7 | 32 | |
| 8 | 9 | |
| 9 | 18 | |
| 10 | High level production of thermostable alpha-amylase from Sulfolobus solfataricus in high-cell density culture of the food yeast Candida utilis. | 28 |
| 11 | 64 | |
| 12 | The changes of proteoglycans during the hair cycle in the mink skin | 1 |
| 13 | 121 | |
| 14 | 77 | |
| 15 | 78 | |
| 16 | 11 | |
| 17 | 15 | |
| 18 | 80 | |
| 19 | 20 | |
| 20 | Carbohydrate Metabolism by Acetobacter Species:Part I. Oxidative Activity for Various Carbohydrates | 18 |
About Keiji Kondô
Keiji Kondô is a scholar working on Microbiology, Pharmacology and Biochemistry, having authored 109 papers that have together received 3.7k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (20 papers), Hops Chemistry and Applications (19 papers) and Fungal and yeast genetics research (15 papers). The work is most often cited by research in Biochemistry (727 citations), Pharmacology (535 citations) and Molecular Biology (2.7k citations). Keiji Kondô has collaborated with scholars based in Japan and United States. Frequent co-authors include Yuzo Yamada, Norihiko Misawa, Masayori Inouye, Toshiko Saito, Susumu Kajiwara, Paul D. Fraser, Takeshi Ohtani, Yutaka Miura, Yasutaka Tahara and Wataru Miki. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.