Akihiko Sugai
- Molecular Biology
- Ecology top 5%
- Environmental Chemistry top 2%
- Biomedical Engineering
- Atmospheric Science
- Co-authors
- Toshihiro ItohIkuko UdaYuko ItohKoki HorikoshiKen TakaiNorio KurosawaTadao HoriuchiKazuo Kon
- Topics
- Genomics and Phylogenetic Studies (9 papers)Microbial Community Ecology and Physiology (7 papers)Methane Hydrates and Related Phenomena (6 papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGYBiochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of LipidsBioscience Biotechnology and Biochemistry
- Partner nations
- JapanUnited States
In The Last Decade
Akihiko Sugai
21 papers receiving 741 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 498
- Ecology 345
- Environmental Chemistry 307
- Biomedical Engineering 83
- Atmospheric Science 77
Countries citing papers authored by Akihiko Sugai
This map shows the geographic impact of Akihiko Sugai'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 Akihiko Sugai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiko Sugai more than expected).
Fields of papers citing papers by Akihiko Sugai
This network shows the impact of papers produced by Akihiko Sugai. 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 Akihiko Sugai. The network helps show where Akihiko Sugai may publish in the future.
Co-authorship network of co-authors of Akihiko Sugai
This figure shows the co-authorship network connecting the top 25 collaborators of Akihiko Sugai. A scholar is included among the top collaborators of Akihiko Sugai 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 Akihiko Sugai. Akihiko Sugai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 47 | |
| 3 | 34 | |
| 4 | 56 | |
| 5 | 52 | |
| 6 | 19 | |
| 7 | 13 | |
| 8 | 12 | |
| 9 | 20 | |
| 10 | 6 | |
| 11 | 123 | |
| 12 | 24 | |
| 13 | 81 | |
| 14 | Isoprenoid synthesis gene for geranylgeranyl diphosphate synthase from a hyperthermophile, Pyrococcus sp. strain OT3. | 2 |
| 15 | 52 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 53 | |
| 19 | 3 | |
| 20 | 3 |
About Akihiko Sugai
Akihiko Sugai is a scholar working on Biochemistry, Environmental Chemistry and Ecology, having authored 21 papers that have together received 758 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Microbial Community Ecology and Physiology (7 papers) and Methane Hydrates and Related Phenomena (6 papers). The work is most often cited by research in Environmental Chemistry (307 citations), Ecology (345 citations) and Molecular Biology (498 citations). Akihiko Sugai has collaborated with scholars based in Japan and United States. Frequent co-authors include Toshihiro Itoh, Ikuko Uda, Yuko Itoh, Koki Horikoshi, Ken Takai, Norio Kurosawa, Tadao Horiuchi, Kazuo Kon, Tomoo Itoh and Toshie Iwai. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Bioscience Biotechnology and Biochemistry.
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.