Etsuko N. Moriyama
- Molecular Biology top 2%
- Genetics top 1%
- Plant Science top 2%
- Insect Science top 1%
- Infectious Diseases top 5%
- Co-authors
- Jeffrey R. PowellDaniel L. HartlAndrew K. BensonJens WalterTakashi GojoboriRyan LeggeDaniel A. PetersonPhaik Lyn Oh
- Topics
- Genomics and Phylogenetic Studies (34 papers)RNA and protein synthesis mechanisms (28 papers)Machine Learning in Bioinformatics (9 papers)
- Cited by
- VirologyMolecular BiologyGenetics
- Partner nations
- United StatesJapanArgentina
In The Last Decade
Etsuko N. Moriyama
94 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 3.5k
- Genetics 1.3k
- Plant Science 1.0k
- Insect Science 542
- Infectious Diseases 527
Countries citing papers authored by Etsuko N. Moriyama
This map shows the geographic impact of Etsuko N. Moriyama'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 Etsuko N. Moriyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Etsuko N. Moriyama more than expected).
Fields of papers citing papers by Etsuko N. Moriyama
This network shows the impact of papers produced by Etsuko N. Moriyama. 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 Etsuko N. Moriyama. The network helps show where Etsuko N. Moriyama may publish in the future.
Co-authorship network of co-authors of Etsuko N. Moriyama
This figure shows the co-authorship network connecting the top 25 collaborators of Etsuko N. Moriyama. A scholar is included among the top collaborators of Etsuko N. Moriyama 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 Etsuko N. Moriyama. Etsuko N. Moriyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 5 | |
| 8 | 34 | |
| 9 | 49 | |
| 10 | 16 | |
| 11 | Individuality in gut microbiota composition is a complex polygenic trait shaped by multiple environmental and host genetic factorsbreakdown → | 982 |
| 12 | 8 | |
| 13 | 39 | |
| 14 | 23 | |
| 15 | 1 | |
| 16 | 18 | |
| 17 | 49 | |
| 18 | 63 | |
| 19 | 88 | |
| 20 | 132 |
About Etsuko N. Moriyama
Etsuko N. Moriyama is a scholar working on Virology, Molecular Biology and Insect Science, having authored 95 papers that have together received 5.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (34 papers), RNA and protein synthesis mechanisms (28 papers) and Machine Learning in Bioinformatics (9 papers). The work is most often cited by research in Virology (277 citations), Molecular Biology (3.5k citations) and Genetics (1.3k citations). Etsuko N. Moriyama has collaborated with scholars based in United States, Japan and Argentina. Frequent co-authors include Jeffrey R. Powell, Jeffrey R. Powell, Daniel L. Hartl, Andrew K. Benson, Jens Walter, Takashi Gojobori, Ryan Legge, Daniel A. Peterson, Phaik Lyn Oh and Makoto Kimura. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.