Kiyoshi Udagawa
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 5%
- Molecular Biology
- Cancer Research top 10%
- Surgery
- Co-authors
- Kunihiko KobayashiHitoshi MiyazawaKoichi HagiwaraTomoaki TanakaMinoru KanazawaYoshiaki NagaiHuqunMotoyasu Kato
- Topics
- Colorectal Cancer Treatments and Studies (6 papers)Lung Cancer Treatments and Mutations (6 papers)Thyroid Cancer Diagnosis and Treatment (5 papers)
In The Last Decade
Kiyoshi Udagawa
25 papers receiving 937 citations
Peers
Comparison fields: 5 of 62
- Pulmonary and Respiratory Medicine 667
- Oncology 557
- Molecular Biology 319
- Cancer Research 250
- Surgery 58
Countries citing papers authored by Kiyoshi Udagawa
This map shows the geographic impact of Kiyoshi Udagawa'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 Kiyoshi Udagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyoshi Udagawa more than expected).
Fields of papers citing papers by Kiyoshi Udagawa
This network shows the impact of papers produced by Kiyoshi Udagawa. 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 Kiyoshi Udagawa. The network helps show where Kiyoshi Udagawa may publish in the future.
Co-authorship network of co-authors of Kiyoshi Udagawa
This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Udagawa. A scholar is included among the top collaborators of Kiyoshi Udagawa 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 Kiyoshi Udagawa. Kiyoshi Udagawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [Clinical examination of challenge test to local anesthetics]. | 1 |
| 2 | 72 | |
| 3 | 88 | |
| 4 | 23 | |
| 5 | 143 | |
| 6 | [Therapeutic efficacy of capecitabine on advanced and recurrent breast cancer with special reference to time to progression]. | 1 |
| 7 | 34 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 8 | |
| 11 | 34 | |
| 12 | 12 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | [Doxifluridine decreases serum levels of interleukin-6 in a cancer cachexia model]. | 1 |
| 16 | Production of Nucleic Acid-Related Substances by Fermentative Processes:Part XXII. Fermentative, Production of 5'-Xanthylic Acid by a Guanine Auxotroph of Brevibacterium ammoniagenes | 6 |
| 17 | 4 | |
| 18 | 1 | |
| 19 | Production of griseofulvin by some strains of the genus Penicillium. | 3 |
| 20 | 2 |
About Kiyoshi Udagawa
Kiyoshi Udagawa is a scholar working on Biotechnology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 955 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (6 papers), Lung Cancer Treatments and Mutations (6 papers) and Thyroid Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Oncology (557 citations), Pulmonary and Respiratory Medicine (667 citations) and Cancer Research (250 citations). Kiyoshi Udagawa has collaborated with scholars based in Japan, Germany and Greece. Frequent co-authors include Kunihiko Kobayashi, Hitoshi Miyazawa, Koichi Hagiwara, Tomoaki Tanaka, Minoru Kanazawa, Yoshiaki Nagai, Huqun, Motoyasu Kato, Akihisa Sutani and Yoshitake Murayama. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Journal of Bacteriology.
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.