Yutaka Noda
- Surgery top 1%
- Pulmonary and Respiratory Medicine top 1%
- Oncology top 1%
- Epidemiology top 10%
- Gastroenterology top 2%
- Co-authors
- Naotaka FujitaGo KobayashiKei ItoJun HoraguchiTakashi ObanaOsamu TakasawaYoshihide KannoKatsumi Kimura
- Topics
- Pancreatic and Hepatic Oncology Research (110 papers)Gallbladder and Bile Duct Disorders (93 papers)Pediatric Hepatobiliary Diseases and Treatments (57 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Applied PhysicsCancer
- Partner nations
- JapanUnited StatesCzechia
In The Last Decade
Yutaka Noda
223 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 106
- Surgery 2.5k
- Pulmonary and Respiratory Medicine 1.9k
- Oncology 1.9k
- Epidemiology 347
- Gastroenterology 237
Countries citing papers authored by Yutaka Noda
This map shows the geographic impact of Yutaka Noda'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 Yutaka Noda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutaka Noda more than expected).
Fields of papers citing papers by Yutaka Noda
This network shows the impact of papers produced by Yutaka Noda. 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 Yutaka Noda. The network helps show where Yutaka Noda may publish in the future.
Co-authorship network of co-authors of Yutaka Noda
This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Noda. A scholar is included among the top collaborators of Yutaka Noda 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 Yutaka Noda. Yutaka Noda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 30 | |
| 5 | 106 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | Test Methods and Measures to Prevent Explosive Spalling of Castable Refractories | 1 |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 0 | |
| 18 | Reassessment of gamma doses from the atomic bombs in Hiroshima and Nagasaki. | 12 |
| 19 | [Estimation of frequency, population doses and stochastic risks in stomach mass screening examinations in Japan, 1980]. | 4 |
| 20 | 1 |
About Yutaka Noda
Yutaka Noda is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 239 papers that have together received 3.3k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (110 papers), Gallbladder and Bile Duct Disorders (93 papers) and Pediatric Hepatobiliary Diseases and Treatments (57 papers). The work is most often cited by research in Oncology (1.9k citations), Pulmonary and Respiratory Medicine (1.9k citations) and Surgery (2.5k citations). Yutaka Noda has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Naotaka Fujita, Go Kobayashi, Kei Ito, Jun Horaguchi, Takashi Obana, Osamu Takasawa, Yoshihide Kanno, Katsumi Kimura, Shinsuke Koshita and Takahisa Ogawa. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Cancer.
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.