Akihiro Fujimoto
- Molecular Biology top 10%
- Genetics top 5%
- Cancer Research top 5%
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Hidewaki NakagawaKatsushi TokunagaRyosuke KimuraJun OhashiSancha MartinLudmil B. AlexandrovYoung Seok JuPeter J. Campbell
- Topics
- Smart Materials for Construction (14 papers)Cancer Genomics and Diagnostics (10 papers)Genomics and Phylogenetic Studies (9 papers)
- Journals
- ScienceNature GeneticsPLoS ONE
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Akihiro Fujimoto
77 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 948
- Genetics 624
- Cancer Research 591
- Oncology 345
- Pulmonary and Respiratory Medicine 284
Countries citing papers authored by Akihiro Fujimoto
This map shows the geographic impact of Akihiro Fujimoto'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 Akihiro Fujimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiro Fujimoto more than expected).
Fields of papers citing papers by Akihiro Fujimoto
This network shows the impact of papers produced by Akihiro Fujimoto. 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 Akihiro Fujimoto. The network helps show where Akihiro Fujimoto may publish in the future.
Co-authorship network of co-authors of Akihiro Fujimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Fujimoto. A scholar is included among the top collaborators of Akihiro Fujimoto 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 Akihiro Fujimoto. Akihiro Fujimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 50 | |
| 10 | 15 | |
| 11 | 0 | |
| 12 | 9 | |
| 13 | Mutational signatures associated with tobacco smoking in human cancerbreakdown → | 680 |
| 14 | Method for Predicting Change in Skid Resistance on Icy Road Surface by Use of Deicing Salt | 1 |
| 15 | 3 | |
| 16 | Effects of Vehicle Heat on Road Surface Temperature of Dry Condition | 1 |
| 17 | Advanced Inter/Intra-Stream FEC Method in Distributed Multi-Server Network | 1 |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 4 |
About Akihiro Fujimoto
Akihiro Fujimoto is a scholar working on Pollution, General Engineering and Cancer Research, having authored 88 papers that have together received 2.2k indexed citations. Recurring topics across this work include Smart Materials for Construction (14 papers), Cancer Genomics and Diagnostics (10 papers) and Genomics and Phylogenetic Studies (9 papers). The work is most often cited by research in Cancer Research (591 citations), Genetics (624 citations) and Molecular Biology (948 citations). Akihiro Fujimoto has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Hidewaki Nakagawa, Katsushi Tokunaga, Ryosuke Kimura, Jun Ohashi, Sancha Martin, Ludmil B. Alexandrov, Young Seok Ju, Peter J. Campbell, Paolo Vineis and David H. Phillips. Their work appears in journals such as Science, Nature Genetics and PLoS ONE.
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.