K Masuda

492 citations
6 papers · 429 · h-index 6

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Neuroendocrine Tumor Research Advances

Papers in

    • CAR-T cell therapy research 1
    • Bone health and treatments 1
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3

K Masuda

6 papers receiving 417 citations

Peers

K Masuda
Comparison fields: 5 of 58
  • Immunology 156
  • Epidemiology 177
  • Neurology 70
  • Oncology 122
  • Endocrinology, Diabetes and Metabolism 53
Replace Urania Vourka-Karussis with:
Urania Vourka-Karussis Israel
Claudia Luther Germany
Miriam Moscovitch‐Lopatin United States
Marsha Pellegrino Italy
Virginia D. Sarapura United States
S Kelly United States
Susann Schönefeldt Belgium
Yawen Zhao China
D Prager United States
G. Freytag Germany
K Masuda relative to Urania Vourka-Karussis Israel Urania Vourka-Karussis's profile →
Citations per field
00.5×5.5×
Urania Vourka-Karussis · 1×
Citations per year

Countries citing papers authored by K Masuda

Since Specialization
Citations

This map shows the geographic impact of K Masuda'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 Masuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Masuda more than expected).

Fields of papers citing papers by K Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K Masuda. 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 Masuda. The network helps show where K Masuda may publish in the future.

Co-authors

The 25 scholars most cited alongside K Masuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K Masuda Line = papers co-authored together K Masuda links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 1993223
2 199687
3 200245
4 199740
5 199618
6
Serum markers of systemic disease processes in osteoarthritis.
199516

About K Masuda

K Masuda is a scholar working on Oncology, Immunology, Molecular Biology, Epidemiology and Rheumatology, having authored 6 papers that have together received 429 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (1 paper), Signaling Pathways in Disease (1 paper), NF-κB Signaling Pathways (1 paper), Neuroendocrine Tumor Research Advances (1 paper), Bone health and treatments (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Immunology (156 citations), Epidemiology (177 citations), Neurology (70 citations), Oncology (122 citations) and Endocrinology, Diabetes and Metabolism (53 citations). K Masuda has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Shinji Kagimoto, Susumu Seino, Y Ihara, Yutaka Seino, Akira Kubota, Yasuhiro Yamada, Kaori Yasuda, Qian Li, Yuichi Someya and Hiroo Imura. Their work appears in journals such as The Journal of Immunology, Arthritis Research & Therapy, Biochemical and Biophysical Research Communications, Journal of Allergy and Clinical Immunology and Proceedings of the National Academy of Sciences.

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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