K Matsumoto

1.0k total citations
71 papers, 733 citations indexed

About

K Matsumoto is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, K Matsumoto has authored 71 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Immunology and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in K Matsumoto's work include Radiation Dose and Imaging (9 papers), Renal Diseases and Glomerulopathies (7 papers) and Systemic Lupus Erythematosus Research (6 papers). K Matsumoto is often cited by papers focused on Radiation Dose and Imaging (9 papers), Renal Diseases and Glomerulopathies (7 papers) and Systemic Lupus Erythematosus Research (6 papers). K Matsumoto collaborates with scholars based in Japan, Russia and United Kingdom. K Matsumoto's co-authors include Takaya Terashima, Mitsuo Sawamoto, Mikihito Takenaka, Takashi Uehara, Soichi Miwa, Kouetsu Ogasawara, Satoshi Maekawa, H. Kikuchi, Tadashi Nishiya and Ichiro NAKAHARA and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

K Matsumoto

64 papers receiving 711 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K Matsumoto Japan 15 131 127 91 86 81 71 733
Li Jiang China 16 70 0.5× 15 0.1× 33 0.4× 51 0.6× 71 0.9× 59 818
Karin Fromell Sweden 18 170 1.3× 42 0.3× 37 0.4× 78 0.9× 265 3.3× 43 831
Xiaoli Chen China 18 251 1.9× 59 0.5× 14 0.2× 120 1.4× 190 2.3× 58 1.1k
T. E. Hilditch United Kingdom 16 319 2.4× 104 0.8× 92 1.0× 51 0.6× 38 0.5× 53 1.3k
Mei Lin Tan Australia 14 432 3.3× 54 0.4× 10 0.1× 62 0.7× 50 0.6× 26 1.1k
Yingying Jin China 16 132 1.0× 72 0.6× 53 0.6× 106 1.2× 65 0.8× 61 817
Hongwei Peng China 19 285 2.2× 28 0.2× 26 0.3× 33 0.4× 140 1.7× 66 927
Marcello Maestri Italy 21 257 2.0× 14 0.1× 25 0.3× 82 1.0× 55 0.7× 77 1.3k
Gloria Bellin Italy 15 404 3.1× 19 0.1× 13 0.1× 80 0.9× 57 0.7× 23 936

Countries citing papers authored by K Matsumoto

Since Specialization
Citations

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

Fields of papers citing papers by K Matsumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Matsumoto

This figure shows the co-authorship network connecting the top 25 collaborators of K Matsumoto. A scholar is included among the top collaborators of K Matsumoto 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 Matsumoto. K Matsumoto 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.
Matsumoto, K, et al.. (2023). Computer Aided Process Planning for Rough Machining Based on Machine Learning with Certainty Evaluation of Inferred Results. International Journal of Automation Technology. 17(2). 120–127. 6 indexed citations
4.
Matsuzaki, Etsuko, et al.. (2021). Sphingosine-1-phosphate receptor 2 agonist induces bone formation in rat apicoectomy and alveolar bone defect model. Journal of Dental Sciences. 17(2). 787–794. 9 indexed citations
5.
Sakamoto, Hajime, Yukari Yamashita, Mamoru Kato, et al.. (2020). Nationwide Survey of Medical Radiation Exposure on Cardiovascular Examinations in Japan. Japanese Journal of Radiological Technology. 76(1). 64–71. 6 indexed citations
6.
Matsumoto, K, et al.. (2019). Measurement of Head and Neck Exposure in CT Guided IVR. Japanese Journal of Radiological Technology. 75(7). 625–630. 3 indexed citations
7.
Yoshimura, Shinichi, Kiyofumi Yamada, Takuya Kanamaru, et al.. (2019). Presence of Plaque Neovascularization on Optical Frequency Domain Imaging Predicts Progression of Carotid Artery Stenosis. World Neurosurgery. 127. e330–e336. 4 indexed citations
8.
Yamada, Kiyofumi, Seigo Shindo, K Matsumoto, et al.. (2018). Optical Frequency Domain Imaging Evaluation of Progressive Carotid Plaque and In-Stent Restenosis Lesion with Multiple Neovascularizations. World Neurosurgery. 119. 54–57. 3 indexed citations
9.
Matsumoto, K, et al.. (2017). XCSR Learning from Compressed Data Acquired by Deep Neural Network. Journal of Advanced Computational Intelligence and Intelligent Informatics. 21(5). 856–867. 6 indexed citations
10.
Kato, Mamoru, Koichi Chida, Takashi Moritake, et al.. (2016). Multicenter Study on Evaluation of the Entrance Skin Dose by a Direct Measurement Method in Cardiac Interventional Procedures. Japanese Journal of Radiological Technology. 72(1). 73–81. 3 indexed citations
11.
Izawa, Takashi, Mie Kurosawa, K Matsumoto, et al.. (2012). Fas-Independent T-Cell Apoptosis by Dendritic Cells Controls Autoimmune Arthritis in MRL/lpr Mice. PLoS ONE. 7(12). e48798–e48798. 16 indexed citations
12.
Nishiya, Tadashi, K Matsumoto, Satoshi Maekawa, et al.. (2011). Regulation of Inducible Nitric-oxide Synthase by the SPRY Domain- and SOCS Box-containing Proteins. Journal of Biological Chemistry. 286(11). 9009–9019. 58 indexed citations
13.
Matsumoto, K, Tadashi Nishiya, Satoshi Maekawa, et al.. (2011). The ECS(SPSB) E3 ubiquitin ligase is the master regulator of the lifetime of inducible nitric-oxide synthase. Biochemical and Biophysical Research Communications. 409(1). 46–51. 21 indexed citations
14.
Sugano, Naoyuki, et al.. (2010). The effect of systemic anti-tumor necrosis factor-alpha treatment on Porphyromonas gingivalis infection in type 2 diabetic mice. Archives of Oral Biology. 55(5). 379–384. 24 indexed citations
15.
T, Abe, Akira Wada, Yasuhiro Mochizuki, et al.. (1998). [Clear cell ependymoma--a case report].. PubMed. 50(5). 431–6. 6 indexed citations
16.
Ishizawa, Michihito, et al.. (1995). Anaplastic large cell Ki-1 lymphoma with bone involvement: Report of two cases. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 427(1). 105–10. 19 indexed citations
17.
Tsuboshima, M, et al.. (1992). Prostaglandins : Synthetic and Pharmacological Studies and Development. YAKUGAKU ZASSHI. 112(7). 447–469. 3 indexed citations
18.
Matsumoto, K, et al.. (1990). TUMOR NECROSIS FACTOR STIMULATES INTERLEUKIN-1 PRODUCTION IN GLOMERULAR CULTURES FROM RATS WITH NEPHROTOXIC SERUM NEPHRITIS. Kidney International. 37(1). 422. 1 indexed citations
19.
Matsumoto, K, et al.. (1984). [Establishment and characterization of a monoclonal antibody (NU-B1) reactive with human B-cell lineage].. PubMed. 47(7). 1414–21. 1 indexed citations
20.
Matsumoto, K, et al.. (1980). Alteration of T‐Lymphocyte Subpopulations in Patients with Primary Renal Diseases and Systemic Lupus Erythematosus. Scandinavian Journal of Immunology. 11(2). 187–193. 7 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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