Makiko Suwa
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Sensory Systems top 1%
- Nutrition and Dietetics top 5%
- Genetics top 10%
- Co-authors
- M. Michael GromihaKazushige TouharaSayako KatadaYuki OkaTakatsugu HirokawaYukiteru OnoShandar AhmadRyohei Yamaoka
- Topics
- Machine Learning in Bioinformatics (32 papers)RNA and protein synthesis mechanisms (30 papers)Protein Structure and Dynamics (12 papers)
- Partner nations
- JapanUnited KingdomIndia
In The Last Decade
Makiko Suwa
57 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 992
- Cellular and Molecular Neuroscience 556
- Sensory Systems 372
- Nutrition and Dietetics 276
- Genetics 192
Countries citing papers authored by Makiko Suwa
This map shows the geographic impact of Makiko Suwa'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 Makiko Suwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makiko Suwa more than expected).
Fields of papers citing papers by Makiko Suwa
This network shows the impact of papers produced by Makiko Suwa. 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 Makiko Suwa. The network helps show where Makiko Suwa may publish in the future.
Co-authorship network of co-authors of Makiko Suwa
This figure shows the co-authorship network connecting the top 25 collaborators of Makiko Suwa. A scholar is included among the top collaborators of Makiko Suwa 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 Makiko Suwa. Makiko Suwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 73 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 145 | |
| 8 | 29 | |
| 9 | 21 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | 1 | |
| 14 | 45 | |
| 15 | 0 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 14 | |
| 20 | 37 |
About Makiko Suwa
Makiko Suwa is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Sensory Systems, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (32 papers), RNA and protein synthesis mechanisms (30 papers) and Protein Structure and Dynamics (12 papers). The work is most often cited by research in Sensory Systems (372 citations), Cellular and Molecular Neuroscience (556 citations) and Nutrition and Dietetics (276 citations). Makiko Suwa has collaborated with scholars based in Japan, United Kingdom and India. Frequent co-authors include M. Michael Gromiha, Kazushige Touhara, Sayako Katada, Yuki Oka, Takatsugu Hirokawa, Yukiteru Ono, Shandar Ahmad, Ryohei Yamaoka, Tatsuro Nakagawa and Masayo Omura. Their work appears in journals such as Nucleic Acids Research, Neuron and Journal of Neuroscience.
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.