Masahiro Hattori
- Molecular Biology top 1%
- Plant Science top 1%
- Genetics top 5%
- Computational Theory and Mathematics top 0.5%
- Cancer Research top 5%
- Co-authors
- Minoru KanehisaSusumu GotoToshiaki TokimatsuYoshihiro YamanishiMasumi ItohShujiro OkudaShuichi KawashimaMika Hirakawa
- Topics
- Microbial Metabolic Engineering and Bioproduction (13 papers)Computational Drug Discovery Methods (7 papers)Bioinformatics and Genomic Networks (6 papers)
- Partner nations
- JapanSpainUnited States
In The Last Decade
Masahiro Hattori
73 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Molecular Biology 4.7k
- Plant Science 1.5k
- Genetics 685
- Computational Theory and Mathematics 661
- Cancer Research 641
Countries citing papers authored by Masahiro Hattori
This map shows the geographic impact of Masahiro Hattori'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 Masahiro Hattori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiro Hattori more than expected).
Fields of papers citing papers by Masahiro Hattori
This network shows the impact of papers produced by Masahiro Hattori. 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 Masahiro Hattori. The network helps show where Masahiro Hattori may publish in the future.
Co-authorship network of co-authors of Masahiro Hattori
This figure shows the co-authorship network connecting the top 25 collaborators of Masahiro Hattori. A scholar is included among the top collaborators of Masahiro Hattori 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 Masahiro Hattori. Masahiro Hattori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 0 | |
| 3 | 25 | |
| 4 | 18 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 18 | |
| 9 | 68 | |
| 10 | 57 | |
| 11 | 137 | |
| 12 | 45 | |
| 13 | Conformational Analysis of Model Repetitive Polypeptides Poly(Xaa-Pro) | 1 |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 50 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 高速液体クロマトグラフィーによるNotopterygium forbesiiからの2つの新しいクマリン配糖体の単離およびN.incisumとN.forbesiiの地下茎である生薬きょう活の評価 | 3 |
About Masahiro Hattori
Masahiro Hattori is a scholar working on Gastroenterology, Pharmaceutical Science and Endocrinology, having authored 85 papers that have together received 8.2k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (13 papers), Computational Drug Discovery Methods (7 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Molecular Biology (4.7k citations), Cancer Research (641 citations) and Endocrinology (217 citations). Masahiro Hattori has collaborated with scholars based in Japan, Spain and United States. Frequent co-authors include Minoru Kanehisa, Susumu Goto, Toshiaki Tokimatsu, Yoshihiro Yamanishi, Masumi Itoh, Shujiro Okuda, Shuichi Kawashima, Mika Hirakawa, Tsutomu Katayama and Michihiro Araki. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Bioinformatics.
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.