Yuichi Kodama
- Molecular Biology top 10%
- Ecology top 10%
- Plant Science top 10%
- Cancer Research top 10%
- Genetics
- Co-authors
- Martin ShumwayRasko LeinonenJun MashimaOsamu OgasawaraYasukazu NakamuraEli KaminumaKousaku OkuboTakehide Kosuge
- Topics
- Genomics and Phylogenetic Studies (16 papers)Gene expression and cancer classification (11 papers)Microbial Community Ecology and Physiology (5 papers)
- Journals
- Nucleic Acids ResearchPlant and Cell PhysiologyAdvances in experimental medicine and biology
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Yuichi Kodama
25 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.0k
- Ecology 208
- Plant Science 193
- Cancer Research 163
- Genetics 150
Countries citing papers authored by Yuichi Kodama
This map shows the geographic impact of Yuichi Kodama'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 Yuichi Kodama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichi Kodama more than expected).
Fields of papers citing papers by Yuichi Kodama
This network shows the impact of papers produced by Yuichi Kodama. 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 Yuichi Kodama. The network helps show where Yuichi Kodama may publish in the future.
Co-authorship network of co-authors of Yuichi Kodama
This figure shows the co-authorship network connecting the top 25 collaborators of Yuichi Kodama. A scholar is included among the top collaborators of Yuichi Kodama 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 Yuichi Kodama. Yuichi Kodama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 19 | |
| 4 | 22 | |
| 5 | 38 | |
| 6 | 31 | |
| 7 | 55 | |
| 8 | 57 | |
| 9 | 47 | |
| 10 | 31 | |
| 11 | 57 | |
| 12 | 29 | |
| 13 | 24 | |
| 14 | 32 | |
| 15 | The sequence read archive: explosive growth of sequencing databreakdown → | 641 |
| 16 | 10 | |
| 17 | 31 | |
| 18 | 5 | |
| 19 | 67 | |
| 20 | 34 |
About Yuichi Kodama
Yuichi Kodama is a scholar working on Molecular Biology, Information Systems and Management and Cancer Research, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), Gene expression and cancer classification (11 papers) and Microbial Community Ecology and Physiology (5 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Cancer Research (163 citations) and Information Systems and Management (56 citations). Yuichi Kodama has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Martin Shumway, Rasko Leinonen, Jun Mashima, Osamu Ogasawara, Yasukazu Nakamura, Eli Kaminuma, Kousaku Okubo, Takehide Kosuge, Takatomo Fujisawa and Toshihisa Takagi. Their work appears in journals such as Nucleic Acids Research, Plant and Cell Physiology and Advances in experimental medicine and biology.
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.