Takemasa Matsuda

1.4k total citations
35 papers, 1.2k citations indexed

About

Takemasa Matsuda is a scholar working on Rheumatology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Takemasa Matsuda has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Rheumatology, 13 papers in Immunology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Takemasa Matsuda's work include Rheumatoid Arthritis Research and Therapies (16 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Systemic Lupus Erythematosus Research (6 papers). Takemasa Matsuda is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (16 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Systemic Lupus Erythematosus Research (6 papers). Takemasa Matsuda collaborates with scholars based in Japan, United States and Germany. Takemasa Matsuda's co-authors include Nobuhiko Sunahara, Tadashi Nakamura, Takami Matsuyama, Abraham G. Osler, Tomohiko Matsuyama, Su Yu, Michishi Tsukano, Giorgio P. Martinelli, Toshio Homma and Manohar Ratnam and has published in prestigious journals such as The Journal of Immunology, Annals of the Rheumatic Diseases and Brain Behavior and Immunity.

In The Last Decade

Takemasa Matsuda

34 papers receiving 1.1k citations

Peers

Takemasa Matsuda
Sachiko Miyagawa Japan
Nithya Lingampalli United States
Judith Endres United States
H. Nida Sen United States
Evy Lundgren-Åkerlund United States
Greg Parsonage United Kingdom
Francesca Maria Rossi Italy
Blanca Molins Spain
Mircea T. Chiriac Germany
Matthias Becker Germany
Sachiko Miyagawa Japan
Takemasa Matsuda
Citations per year, relative to Takemasa Matsuda Takemasa Matsuda (= 1×) peers Sachiko Miyagawa

Countries citing papers authored by Takemasa Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Takemasa Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takemasa Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Takemasa Matsuda. A scholar is included among the top collaborators of Takemasa Matsuda 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 Takemasa Matsuda. Takemasa Matsuda 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
1.
Nakamura, Tadashi, et al.. (2018). Serum-soluble folate receptor β as a biomarker for the activity of rheumatoid arthritis synovitis and the response to anti-TNF agents. Clinical Rheumatology. 37(11). 2939–2945. 7 indexed citations
2.
Takahashi, Kengo, Takao Setoguchi, Hiroyuki Tominaga, et al.. (2015). Risk of low bone mineral density in patients with rheumatoid arthritis treated with biologics. BMC Musculoskeletal Disorders. 16(1). 269–269. 14 indexed citations
3.
Sakakima, Harutoshi, et al.. (2013). Pelvic Inclination Angle and Hip Abductor Muscle Strength after Total Hip Arthroplasty. Journal of Physical Therapy Science. 25(2). 215–219. 3 indexed citations
4.
Tanaka, Masashi, Taku Nagai, Nobuhiko Sunahara, et al.. (2012). Functional folate receptor beta-expressing macrophages in osteoarthritis synovium and their M1/M2 expression profiles. Scandinavian Journal of Rheumatology. 41(2). 132–140. 84 indexed citations
5.
Akimoto, Masaki, Tamami Yoshitama, Kakushi Matsushita, et al.. (2012). Assessment of peripheral blood CD4+ adenosine triphosphate activity in patients with rheumatoid arthritis. Modern Rheumatology. 23(1). 19–27. 8 indexed citations
6.
7.
Sato, Takeo, Shigeko Inokuma, Akira Sagawa, et al.. (2009). Factors associated with fatal outcome of leflunomide-induced lung injury in Japanese patients with rheumatoid arthritis. Lara D. Veeken. 48(10). 1265–1268. 30 indexed citations
8.
Sawada, Tetsuji, Shigeko Inokuma, Takeo Sato, et al.. (2009). Leflunomide-induced interstitial lung disease: prevalence and risk factors in Japanese patients with rheumatoid arthritis. Lara D. Veeken. 48(9). 1069–1072. 89 indexed citations
9.
Inokuma, Shigeko, Takeo Sato, Akira Sagawa, et al.. (2008). Proposals for leflunomide use to avoid lung injury in patients with rheumatoid arthritis. Modern Rheumatology. 18(5). 442–446. 13 indexed citations
10.
Straub, Rainer H., Peter Härle, Takemasa Matsuda, et al.. (2006). Anti–interleukin‐6 receptor antibody therapy favors adrenal androgen secretion in patients with rheumatoid arthritis: A randomized, double‐blind, placebo‐controlled study. Arthritis & Rheumatism. 54(6). 1778–1785. 32 indexed citations
11.
Nagai, Taku, Masashi Tanaka, Kakushi Matsushita, et al.. (2006). In vitro and in vivo efficacy of a recombinant immunotoxin against folate receptor β on the activation and proliferation of rheumatoid arthritis synovial cells. Arthritis & Rheumatism. 54(10). 3126–3134. 32 indexed citations
12.
Nagai, Taku, Kakushi Matsushita, Katsuaki Sato, et al.. (2005). Effectiveness of anti–folate receptor β antibody conjugated with truncated Pseudomonas exotoxin in the targeting of rheumatoid arthritis synovial macrophages. Arthritis & Rheumatism. 52(9). 2666–2675. 58 indexed citations
13.
Nakamura, Tsukasa, et al.. (2004). Low-density lipoprotein apheresis in a patient with arteriosclerosis obliterans and light chain deposition disease. Clinical Nephrology. 61(6). 429–433. 1 indexed citations
14.
Goto, Makoto, Tadamasa Hanyu, Taku Yoshio, et al.. (2001). Intra-articular injection of hyaluronate (SI-6601D) improves joint pain and synovial fluid prostaglandin E2 levels in rheumatoid arthritis: a multicenter clinical trial.. PubMed. 19(4). 377–83. 59 indexed citations
15.
16.
Homma, Toshio, Su Yu, Takemasa Matsuda, et al.. (1999). Selective expression of folate receptor ? and its possible role in methotrexate transport in synovial macrophages from patients with rheumatoid arthritis. Arthritis & Rheumatism. 42(8). 1609–1616. 209 indexed citations
17.
Kitani, Atsushi, Takemasa Matsuda, Baohui Xu, et al.. (1996). T cells bound by vascular cell adhesion molecule-1/CD106 in synovial fluid in rheumatoid arthritis: inhibitory role of soluble vascular cell adhesion molecule-1 in T cell activation. The Journal of Immunology. 156(6). 2300–2308. 29 indexed citations
18.
Nakamura, Tadashi, P.G. Board, Kakushi Matsushita, et al.. (1993). ?1Acid glycoprotein expression in human leukocytes: Possible correlation between ?1-acid glycoprotein and inflammatory cytokines in rheumatoid arthritis. Inflammation. 17(1). 33–45. 31 indexed citations
19.
Ijichi, Shinji, Takemasa Matsuda, Ikuro Maruyama, et al.. (1990). Arthritis in a human T lymphotropic virus type I (HTLV-I) carrier.. Annals of the Rheumatic Diseases. 49(9). 718–721. 50 indexed citations
20.
Martinelli, Giorgio P., Takemasa Matsuda, & Abraham G. Osler. (1978). Studies of Immunosuppression by Cobra Venom Factor. The Journal of Immunology. 121(5). 2043–2047. 19 indexed citations

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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