N. Gō
Impact in
- Structural Biology top 5%
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Photosynthetic Processes and Mechanisms
Papers in
-
- Protein Structure and Dynamics 7
- RNA and protein synthesis mechanisms 2
- DNA and Nucleic Acid Chemistry 2
- Machine Learning in Bioinformatics 1
-
- Enzyme Structure and Function 6
- Co-authors
- Tetsuo Nishikawa (1 shared paper)Tosiyuki Noguti (1 shared paper)Kensuke Nakamura (1 shared paper)Hiroshi Taketomi (1 shared paper)Akinori Kidera (2 shared papers)Mitsuru Go (1 shared paper)Harold A. Scheraga (1 shared paper)Yasumasa Joti (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Cellular and Molecular Life Sciences (2 papers)Proceedings Genome Informatics Workshop/Genome informatics (1 paper)Protein Engineering Design and Selection (1 paper)Molecular Simulation (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
N. Gō
14 papers receiving 1.9k citations
N. Gō's Hit Papers
Peers
Comparison fields: 5 of 107
- Structural Biology 34
- Molecular Biology 1.6k
- Materials Chemistry 873
- Spectroscopy 222
- Atomic and Molecular Physics, and Optics 354
Countries citing papers authored by N. Gō
This map shows the geographic impact of N. Gō'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 N. Gō with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Gō more than expected).
Fields of papers citing papers by N. Gō
This network shows the impact of papers produced by N. Gō. 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 N. Gō. The network helps show where N. Gō may publish in the future.
Co-authors
The 21 scholars most cited alongside N. Gō, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Theoretical Studies of Protein Folding Hit paper breakdown → | 1983 | 672 |
| 2 | Dynamics of a small globular protein in terms of low-frequency vibrational modes. Hit paper breakdown → | 1983 | 589 |
| 3 | 2005 | 220 | |
| 4 | 1978 | 176 | |
| 5 | 1990 | 85 | |
| 6 | 1968 | 45 | |
| 7 | 1984 | 43 | |
| 8 | 2001 | 41 | |
| 9 | 2005 | 10 | |
| 10 | 2007 | 5 | |
| 11 | 2015 | 5 | |
| 12 | 2004 | 3 | |
| 13 | 1996 | 3 | |
| 14 | 1991 | 1 | |
| 15 | 2015 | 0 |
About N. Gō
N. Gō is a scholar working on Molecular Biology, Materials Chemistry, Information Systems, Signal Processing and Computational Theory and Mathematics, having authored 15 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (6 papers), Advanced Malware Detection Techniques (2 papers), RNA and protein synthesis mechanisms (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Electrochemical sensors and biosensors (1 paper), Machine Learning in Bioinformatics (1 paper) and Enzyme-mediated dye degradation (1 paper). The work is most often cited by research in Structural Biology (34 citations), Molecular Biology (1.6k citations), Materials Chemistry (873 citations), Spectroscopy (222 citations) and Atomic and Molecular Physics, and Optics (354 citations). N. Gō has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tetsuo Nishikawa, Tosiyuki Noguti, Kensuke Nakamura, Hiroshi Taketomi, Akinori Kidera, Mitsuru Go, Harold A. Scheraga, Yasumasa Joti, Andreas Ostermann and Song‐Ho Chong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cellular and Molecular Life Sciences, Proceedings Genome Informatics Workshop/Genome informatics, Protein Engineering Design and Selection and Molecular Simulation.
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.