K Yasumoto
- Co-authors
- Naofumi MukaidaMasayoshi MaiS OkamotoShuichi MurakamiKouji MatsushimaMitsuo OhtaKazunari OkaShin Kohga
- Topics
- Mycobacterium research and diagnosis (3 papers)Infectious Diseases and Mycology (3 papers)Actinomycetales infections and treatment (3 papers)
- Cited by
- ImmunologyCancer ResearchOncology
- Journals
- Journal of Biological ChemistryAnnals of the New York Academy of SciencesBritish Journal of Cancer
- Partner nations
- Japan
In The Last Decade
K Yasumoto
13 papers receiving 676 citations
Peers
Comparison fields: 5 of 84
- Immunology 316
- Oncology 229
- Molecular Biology 213
- Cancer Research 138
- Surgery 136
Countries citing papers authored by K Yasumoto
This map shows the geographic impact of K Yasumoto'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 K Yasumoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Yasumoto more than expected).
Fields of papers citing papers by K Yasumoto
This network shows the impact of papers produced by K Yasumoto. 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 K Yasumoto. The network helps show where K Yasumoto may publish in the future.
Co-authorship network of co-authors of K Yasumoto
This figure shows the co-authorship network connecting the top 25 collaborators of K Yasumoto. A scholar is included among the top collaborators of K Yasumoto 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 K Yasumoto. K Yasumoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [Molecular targeted therapy and tailor-made therapy for lung cancer]. | 1 |
| 2 | Chronic expanding hematoma in the chest. | 17 |
| 3 | Role of the endogenous production of interleukin 12 in immunotherapy. | 14 |
| 4 | Molecular analysis of the cytokine network involved in cachexia in colon 26 adenocarcinoma-bearing mice. | 78 |
| 5 | 405 | |
| 6 | 4 | |
| 7 | [Surgical treatment of metastatic tumors in the lung]. | 4 |
| 8 | 13 | |
| 9 | Randomized clinical trial of non-specific immunotherapy with cell-wall skeleton of Nocardia rubra. | 1 |
| 10 | [Effect of adjuvant immunotherapy with Nocardia rubra cell-wall skeleton in lung cancer]. | 2 |
| 11 | 72 | |
| 12 | Cytotoxic activity of lymphocytes to bronchogenic carcinoma cells in patients with lung cancer. | 25 |
| 13 | Immunotherapy of human lung cancer with BCG cell-wall skeleton. | 18 |
| 14 | 45 |
About K Yasumoto
K Yasumoto is a scholar working on Microbiology, Small Animals and Cancer Research, having authored 14 papers that have together received 699 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (3 papers), Infectious Diseases and Mycology (3 papers) and Actinomycetales infections and treatment (3 papers). The work is most often cited by research in Immunology (316 citations), Cancer Research (138 citations) and Oncology (229 citations). K Yasumoto has collaborated with scholars based in Japan. Frequent co-authors include Naofumi Mukaida, Masayoshi Mai, S Okamoto, Shuichi Murakami, Kouji Matsushima, Mitsuo Ohta, Kazunari Oka, Shin Kohga, Kentaro Tanaka and Shoichi Oboshi. Their work appears in journals such as Journal of Biological Chemistry, Annals of the New York Academy of Sciences and British Journal of 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.