Naoya Ueda
- Infectious Diseases top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Animal Science and Zoology top 10%
- Co-authors
- Yutaka SeinoMitsuo FukushimaToshihiro MiuraShumpei WatanabeHiroomi AkashiYasuhiro YoshikawaKoichiro IhaTetsuo Kaneko
- Topics
- Viral Infections and Vectors (7 papers)SARS-CoV-2 and COVID-19 Research (3 papers)Viral Infections and Outbreaks Research (3 papers)
- Partner nations
- JapanPhilippinesAustralia
In The Last Decade
Naoya Ueda
21 papers receiving 633 citations
Peers
Comparison fields: 5 of 79
- Infectious Diseases 256
- Molecular Biology 215
- Endocrinology, Diabetes and Metabolism 168
- Epidemiology 95
- Animal Science and Zoology 74
Countries citing papers authored by Naoya Ueda
This map shows the geographic impact of Naoya Ueda'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 Naoya Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoya Ueda more than expected).
Fields of papers citing papers by Naoya Ueda
This network shows the impact of papers produced by Naoya Ueda. 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 Naoya Ueda. The network helps show where Naoya Ueda may publish in the future.
Co-authorship network of co-authors of Naoya Ueda
This figure shows the co-authorship network connecting the top 25 collaborators of Naoya Ueda. A scholar is included among the top collaborators of Naoya Ueda 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 Naoya Ueda. Naoya Ueda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 12 | |
| 3 | 15 | |
| 4 | 20 | |
| 5 | 18 | |
| 6 | 142 | |
| 7 | 12 | |
| 8 | 30 | |
| 9 | 24 | |
| 10 | 9 | |
| 11 | 36 | |
| 12 | 9 | |
| 13 | 16 | |
| 14 | 96 | |
| 15 | 31 | |
| 16 | 23 | |
| 17 | 62 | |
| 18 | Assessment of early stage autonomic nerve dysfunction in diabetic subjects--application of power spectral analysis of heart rate variability. | 16 |
| 19 | [Macroamylasemia, report of two cases]. | 1 |
| 20 | C-peptide response to arginine infusion in insulin requiring diabetics. | 0 |
About Naoya Ueda
Naoya Ueda is a scholar working on Virology, Infectious Diseases and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 664 indexed citations. Recurring topics across this work include Viral Infections and Vectors (7 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Viral Infections and Outbreaks Research (3 papers). The work is most often cited by research in Infectious Diseases (256 citations), Virology (65 citations) and Endocrinology, Diabetes and Metabolism (168 citations). Naoya Ueda has collaborated with scholars based in Japan, Philippines and Australia. Frequent co-authors include Yutaka Seino, Mitsuo Fukushima, Toshihiro Miura, Shumpei Watanabe, Hiroomi Akashi, Yasuhiro Yoshikawa, Koichiro Iha, Tetsuo Kaneko, Satoshi Taniguchi and Shigeru Kyuwa. Their work appears in journals such as Journal of Neurochemistry, American Journal Of Pathology and Emerging infectious diseases.
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.