G. Sampei
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
Papers in
-
- Biochemical and Molecular Research 12
- RNA and protein synthesis mechanisms 6
- Protein Structure and Dynamics 4
- DNA and Nucleic Acid Chemistry 3
-
- Enzyme Structure and Function 8
- Co-authors
- Kiyoshi Mizobuchi (8 shared papers)Wakako Watanabe (1 shared paper)Atsu Aiba (1 shared paper)Nobuhisa Furuya (1 shared paper)Teruya Komano (1 shared paper)Takuji Suzuki (1 shared paper)Gota Kawai (12 shared papers)Koreaki Ito (1 shared paper)
- Journals
- The Journal of Biochemistry (5 papers)DNA Research (2 papers)The Journal of General and Applied Microbiology (2 papers)Journal of Bacteriology (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- JapanCzechiaUnited States
In The Last Decade
G. Sampei
22 papers receiving 358 citations
Peers
Comparison fields: 5 of 55
- Molecular Medicine 71
- Endocrinology 50
- Genetics 109
- Molecular Biology 245
- Ecology 70
Countries citing papers authored by G. Sampei
This map shows the geographic impact of G. Sampei'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 G. Sampei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Sampei more than expected).
Fields of papers citing papers by G. Sampei
This network shows the impact of papers produced by G. Sampei. 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 G. Sampei. The network helps show where G. Sampei may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Sampei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 92 | |
| 2 | 1989 | 54 | |
| 3 | 1996 | 44 | |
| 4 | 1995 | 41 | |
| 5 | 1989 | 22 | |
| 6 | 1999 | 18 | |
| 7 | 1988 | 15 | |
| 8 | 2010 | 14 | |
| 9 | 2010 | 11 | |
| 10 | 1996 | 10 | |
| 11 | 2002 | 7 | |
| 12 | 2011 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2013 | 5 | |
| 15 | 2015 | 4 | |
| 16 | 2019 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2022 | 3 | |
| 19 | Conformational changes of purine repressor DNA-binding domain upon complexation with DNA. | 1995 | 2 |
| 20 | 2016 | 2 |
About G. Sampei
G. Sampei is a scholar working on Molecular Biology, Materials Chemistry, Ecology, Infectious Diseases and Genetics, having authored 22 papers that have together received 364 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (12 papers), Enzyme Structure and Function (8 papers), RNA and protein synthesis mechanisms (6 papers), Bacterial Genetics and Biotechnology (4 papers), Bacteriophages and microbial interactions (4 papers), Protein Structure and Dynamics (4 papers), DNA and Nucleic Acid Chemistry (3 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Molecular Medicine (71 citations), Endocrinology (50 citations), Genetics (109 citations), Molecular Biology (245 citations) and Ecology (70 citations). G. Sampei has collaborated with scholars based in Japan, Czechia and United States. Frequent co-authors include Kiyoshi Mizobuchi, Wakako Watanabe, Atsu Aiba, Nobuhisa Furuya, Teruya Komano, Takuji Suzuki, Gota Kawai, Koreaki Ito, Masato Enari and Seiki Baba. Their work appears in journals such as The Journal of Biochemistry, DNA Research, The Journal of General and Applied Microbiology, Journal of Bacteriology and Nucleic Acids 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.