Yu Koyama
- Molecular Biology top 10%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 10%
- Physiology top 10%
- Co-authors
- Katsuyoshi HatakeyamaEishin YaoitaMamoru IsemuraHaruko FunakiDaisuke KondoKatsutoshi KawasakiItaru KiharaNobuaki Sato
- Topics
- Ion Transport and Channel Regulation (9 papers)Glycosylation and Glycoproteins Research (7 papers)Toxin Mechanisms and Immunotoxins (7 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Yu Koyama
96 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 143
- Molecular Biology 1.0k
- Surgery 494
- Pulmonary and Respiratory Medicine 398
- Oncology 275
- Physiology 237
Countries citing papers authored by Yu Koyama
This map shows the geographic impact of Yu Koyama'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 Yu Koyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Koyama more than expected).
Fields of papers citing papers by Yu Koyama
This network shows the impact of papers produced by Yu Koyama. 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 Yu Koyama. The network helps show where Yu Koyama may publish in the future.
Co-authorship network of co-authors of Yu Koyama
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Koyama. A scholar is included among the top collaborators of Yu Koyama 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 Yu Koyama. Yu Koyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 21 | |
| 7 | 3 | |
| 8 | [A case of early gastric cancer completely responding to adjuvant chemotherapy for advanced colon cancer]. | 1 |
| 9 | Non-Sentinel Lymph Node Metastasis is Hard to Predict by Clinicopathological Factors if SLN Metastasis in Two or Fewer Nodes in Breast Cancer | 2 |
| 10 | 9 | |
| 11 | 16 | |
| 12 | 38 | |
| 13 | 7 | |
| 14 | Dynamics of Aquaporin 1 and Aquaporin 8 in the Pancreas : An Experimental Study with a Caerulein-induced Pancreatitis Model | 2 |
| 15 | 1 | |
| 16 | 34 | |
| 17 | 39 | |
| 18 | 131 | |
| 19 | 18 | |
| 20 | 42 |
About Yu Koyama
Yu Koyama is a scholar working on Pathology and Forensic Medicine, Oncology and Gastroenterology, having authored 103 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (9 papers), Glycosylation and Glycoproteins Research (7 papers) and Toxin Mechanisms and Immunotoxins (7 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Pulmonary and Respiratory Medicine (398 citations) and Biochemistry (68 citations). Yu Koyama has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Katsuyoshi Hatakeyama, Eishin Yaoita, Mamoru Isemura, Haruko Funaki, Daisuke Kondo, Katsutoshi Kawasaki, Itaru Kihara, Nobuaki Sato, Tatsuo Tani and Kouei Nihei. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.