K Nomoto
- Immunology top 1%
- Molecular Biology top 10%
- Epidemiology top 10%
- Oncology top 10%
- Infectious Diseases top 5%
- Co-authors
- Masao MitsuyamaYasunobu YoshikaiKenji TakeyaGoro MatsuzakiKunisuke HimenoGo KimuraIkuo KawamuraYuichi Koga
- Topics
- Immune Cell Function and Interaction (58 papers)T-cell and B-cell Immunology (52 papers)Immunotherapy and Immune Responses (46 papers)
- Cited by
- ImmunologyVirologyEndocrinology
- Journals
- The Journal of Experimental MedicineThe Journal of ImmunologyJNCI Journal of the National Cancer Institute
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
K Nomoto
233 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 116
- Immunology 2.3k
- Molecular Biology 738
- Epidemiology 448
- Oncology 430
- Infectious Diseases 371
Countries citing papers authored by K Nomoto
This map shows the geographic impact of K Nomoto'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 Nomoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Nomoto more than expected).
Fields of papers citing papers by K Nomoto
This network shows the impact of papers produced by K Nomoto. 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 Nomoto. The network helps show where K Nomoto may publish in the future.
Co-authorship network of co-authors of K Nomoto
This figure shows the co-authorship network connecting the top 25 collaborators of K Nomoto. A scholar is included among the top collaborators of K Nomoto 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 Nomoto. K Nomoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 18 | |
| 3 | 2 | |
| 4 | 61 | |
| 5 | 46 | |
| 6 | 4 | |
| 7 | 17 | |
| 8 | 24 | |
| 9 | 17 | |
| 10 | 63 | |
| 11 | 43 | |
| 12 | 3 | |
| 13 | 14 | |
| 14 | 8 | |
| 15 | 6 | |
| 16 | Delayed hypersensitivity to syngeneic testicular cells induced by intratesticular bacterial infection in guinea-pigs. | 6 |
| 17 | Characteristics of resistance to Listeria monocytogenes enhanced by Corynebacterium parvum in mice. | 20 |
| 18 | Effect of carrageenan on the induction of cell-mediated cytotoxic responses in vivo. | 12 |
| 19 | Direct cytotoxicity against chicken erythrocytes in mice. II. Nature of immunoglobulin on cytotoxic T lymphocytes. | 2 |
| 20 | Chronic mucocutaneous candidiasis accompanied by enhanced antibody production. | 16 |
About K Nomoto
K Nomoto is a scholar working on Immunology, Transplantation and Biotechnology, having authored 236 papers that have together received 4.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (58 papers), T-cell and B-cell Immunology (52 papers) and Immunotherapy and Immune Responses (46 papers). The work is most often cited by research in Immunology (2.3k citations), Virology (191 citations) and Endocrinology (175 citations). K Nomoto has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Masao Mitsuyama, Yasunobu Yoshikai, Kenji Takeya, Goro Matsuzaki, Kunisuke Himeno, Go Kimura, Ikuo Kawamura, Yuichi Koga, Masatoshi Eto and Kenji Hiromatsu. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and JNCI Journal of the National Cancer Institute.
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.