M Nose
- Immunology top 5%
- Molecular Biology
- Rheumatology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Co-authors
- M KyogokuTakeshi YamamotoShinichiro TakahashiJunichi SasakiAtsushi WatanabeJunpei ItohHideaki KannoYasutaka Taniguchi
- Topics
- Monoclonal and Polyclonal Antibodies Research (15 papers)Systemic Lupus Erythematosus Research (12 papers)T-cell and B-cell Immunology (9 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineThe Journal of Immunology
- Partner nations
- JapanSwedenUnited States
In The Last Decade
M Nose
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 88
- Immunology 706
- Molecular Biology 447
- Rheumatology 286
- Radiology, Nuclear Medicine and Imaging 243
- Surgery 186
Countries citing papers authored by M Nose
This map shows the geographic impact of M Nose'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 M Nose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Nose more than expected).
Fields of papers citing papers by M Nose
This network shows the impact of papers produced by M Nose. 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 M Nose. The network helps show where M Nose may publish in the future.
Co-authorship network of co-authors of M Nose
This figure shows the co-authorship network connecting the top 25 collaborators of M Nose. A scholar is included among the top collaborators of M Nose 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 M Nose. M Nose 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 | 18 | |
| 4 | 34 | |
| 5 | 10 | |
| 6 | 72 | |
| 7 | 70 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 49 | |
| 12 | 16 | |
| 13 | 29 | |
| 14 | 11 | |
| 15 | 11 | |
| 16 | 17 | |
| 17 | 67 | |
| 18 | 8 | |
| 19 | 32 | |
| 20 | Pathological studies on the kidney of systemic arteritis. II. Animal model: Conparative studies on the pathogenesis of arteritis and glomerulonephritis of SL/Ni and MRL/I.:II. Animal model: Comparative studies on the pathogenesis of arteritis and glomerulonephritis of SL/Ni and MRL/1 | 2 |
About M Nose
M Nose is a scholar working on Rheumatology, Immunology and Immunology and Allergy, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), Systemic Lupus Erythematosus Research (12 papers) and T-cell and B-cell Immunology (9 papers). The work is most often cited by research in Immunology (706 citations), Immunology and Allergy (119 citations) and Rheumatology (286 citations). M Nose has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include M Kyogoku, Takeshi Yamamoto, Shinichiro Takahashi, Junichi Sasaki, Atsushi Watanabe, Junpei Itoh, Hideaki Kanno, Yasutaka Taniguchi, Tatsuhiko Miyazaki and Hiroshi Okada. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.
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.