M Nose

1.8k total citations
57 papers, 1.4k citations indexed

About

M Nose is a scholar working on Immunology, Molecular Biology and Rheumatology. According to data from OpenAlex, M Nose has authored 57 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 20 papers in Molecular Biology and 18 papers in Rheumatology. Recurrent topics in M Nose's work include Monoclonal and Polyclonal Antibodies Research (15 papers), Systemic Lupus Erythematosus Research (12 papers) and T-cell and B-cell Immunology (9 papers). M Nose is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (15 papers), Systemic Lupus Erythematosus Research (12 papers) and T-cell and B-cell Immunology (9 papers). M Nose collaborates with scholars based in Japan, Sweden and United States. M Nose's co-authors include M Kyogoku, Takeshi Yamamoto, Shinichiro Takahashi, Junichi Sasaki, Atsushi Watanabe, Junpei Itoh, Hideaki Kanno, Yasutaka Taniguchi, Tatsuhiko Miyazaki and Hiroshi Okada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

M Nose

54 papers receiving 1.4k citations

Peers

M Nose
Comparison fields: 5 of 88
  • Immunology 706
  • Molecular Biology 447
  • Rheumatology 286
  • Radiology, Nuclear Medicine and Imaging 243
  • Surgery 186
Replace Arnout F. Gerritsen with:
Arnout F. Gerritsen Netherlands
Michael Pech Switzerland
George N. Goulielmos Greece
Ruth I. Brezinschek United States
E.J. Yunis United States
Makoto Katagiri Japan
Carol F. Webb United States
Kathleen L. King United States
Kenichi Harigaya Japan
Paul Chuchana France
Arnout F. Gerritsen Netherlands View profile →
Citations per field, relative to M Nose
M Nose · 1×
Citations per year, relative to M Nose
M Nose · 1×

Countries citing papers authored by M Nose

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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2026