Masaharu Nobuyoshi

1.3k total citations
22 papers, 720 citations indexed

About

Masaharu Nobuyoshi is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Masaharu Nobuyoshi has authored 22 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hematology, 13 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Masaharu Nobuyoshi's work include Multiple Myeloma Research and Treatments (14 papers), Chemokine receptors and signaling (5 papers) and Protein Degradation and Inhibitors (5 papers). Masaharu Nobuyoshi is often cited by papers focused on Multiple Myeloma Research and Treatments (14 papers), Chemokine receptors and signaling (5 papers) and Protein Degradation and Inhibitors (5 papers). Masaharu Nobuyoshi collaborates with scholars based in Japan and United States. Masaharu Nobuyoshi's co-authors include Hideaki Ishikawa, Michio Kawano, Hideki Asaoku, Jiro Kikuchi, Yusuke Furukawa, Yasuhiko Kano, Osamu Tanabe, Taeko Wada, Hideo Tanaka and I Yamamoto and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Masaharu Nobuyoshi

21 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masaharu Nobuyoshi Japan 13 424 384 307 82 72 22 720
M. Collette France 11 251 0.6× 301 0.8× 398 1.3× 71 0.9× 62 0.9× 15 644
Lori A. Ehrlich United States 9 302 0.7× 409 1.1× 465 1.5× 84 1.0× 30 0.4× 20 707
GL Rosner United States 6 128 0.3× 344 0.9× 292 1.0× 134 1.6× 43 0.6× 7 605
John D. Iuliucci United States 13 316 0.7× 122 0.3× 212 0.7× 95 1.2× 28 0.4× 16 637
Shou Ching Tang Canada 6 100 0.2× 177 0.5× 200 0.7× 103 1.3× 99 1.4× 7 506
John Hewson Australia 13 265 0.6× 285 0.7× 168 0.5× 154 1.9× 33 0.5× 19 638
George Tsirakis Greece 17 229 0.5× 386 1.0× 274 0.9× 157 1.9× 21 0.3× 43 628
Wim M.J. Vuist Netherlands 11 170 0.4× 278 0.7× 66 0.2× 155 1.9× 46 0.6× 16 635
Hiroe Amou Japan 11 319 0.8× 251 0.7× 301 1.0× 96 1.2× 15 0.2× 16 633
Hina Desai United States 10 114 0.3× 261 0.7× 127 0.4× 177 2.2× 74 1.0× 16 587

Countries citing papers authored by Masaharu Nobuyoshi

Since Specialization
Citations

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

Fields of papers citing papers by Masaharu Nobuyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaharu Nobuyoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Masaharu Nobuyoshi. A scholar is included among the top collaborators of Masaharu Nobuyoshi 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 Masaharu Nobuyoshi. Masaharu Nobuyoshi 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.
Yamanashi, Hirotomo, Yūji Shimizu, Jun Koyamatsu, et al.. (2016). Multiple somatic symptoms and frailty: cross-sectional study in Japanese community-dwelling elderly people. Family Practice. 33(5). 453–460. 15 indexed citations
2.
Yamanashi, Hirotomo, Jun Koyamatsu, Masaharu Nobuyoshi, Kunihiko Murase, & Takahiro Maeda. (2015). Exercise-Induced Pulmonary Edema in a Triathlon. Case Reports in Medicine. 2015. 1–4. 12 indexed citations
3.
Kikuchi, Jiro, Satoshi Yamada, Daisuke Koyama, et al.. (2013). The Novel Orally Active Proteasome Inhibitor K-7174 Exerts Anti-myeloma Activity in Vitro and in Vivo by Down-regulating the Expression of Class I Histone Deacetylases. Journal of Biological Chemistry. 288(35). 25593–25602. 24 indexed citations
4.
Kikuchi, Jiro, Naoya Shibayama, Satoshi Yamada, et al.. (2013). Homopiperazine Derivatives as a Novel Class of Proteasome Inhibitors with a Unique Mode of Proteasome Binding. PLoS ONE. 8(4). e60649–e60649. 12 indexed citations
5.
Hirai, Yoshikatsu, Michio Kawano, I Yamamoto, et al.. (2011). activity in human multiple myeloma Interleukin-1 beta rather than lymphotoxin as the major bone resorbing. 1 indexed citations
6.
Kikuchi, Jiro, Taeko Wada, Rumi Shimizu, et al.. (2010). Histone deacetylases are critical targets of bortezomib-induced cytotoxicity in multiple myeloma. Blood. 116(3). 406–417. 112 indexed citations
7.
Hatano, Kaoru, Jiro Kikuchi, Masaaki Takatoku, et al.. (2008). Bortezomib Overcomes Cell Adhesion-Mediated Drug Resistance Via Down-Regulation of VLA-4 Expression in Multiple Myeloma.. Blood. 112(11). 1634–1634. 2 indexed citations
8.
Nobuyoshi, Masaharu, Michio Kawano, Hideo Tanaka, et al.. (2008). Increased expression of the c-myc gene may be related to the aggressive transformation of human myeloma cells. British Journal of Haematology. 77(4). 523–528. 5 indexed citations
9.
Hatano, Kaoru, Jiro Kikuchi, Masaaki Takatoku, et al.. (2008). Bortezomib overcomes cell adhesion-mediated drug resistance through downregulation of VLA-4 expression in multiple myeloma. Oncogene. 28(2). 231–242. 152 indexed citations
10.
Nobuyoshi, Masaharu, Akihiro Kume, Hiroaki Mizukami, et al.. (2004). Hematopoietic Transdifferentiation of Muscle-Derived Cells after In Vivo Transient Expression of MSX1 Transcription Factor.. Blood. 104(11). 2689–2689. 1 indexed citations
11.
Nobuyoshi, Masaharu, Yoichiro Kusunoki, Toshio Seyama, et al.. (2001). Arrest of human dendritic cells at the CD34−/CD4+/HLA-DR+ stage in the bone marrow of NOD/SCID-human chimeric mice. Blood. 97(11). 3655–3657. 4 indexed citations
12.
Katayama, Yuta, Akira Sakai, Masaharu Nobuyoshi, Takashi Shimomura, & A Kimura. (2001). [Detection of monoclonal plasma cells in bone marrow and spleen of primary amyloidosis].. PubMed. 42(9). 705–9.
13.
Nakayama, Toshiyuki, A Ohtsuru, Hiroshi Enomoto, et al.. (1994). Coronary Atherosclerotic Smooth Muscle Cells Overexpress Human Parathyroid Hormone-Related Peptides. Biochemical and Biophysical Research Communications. 200(2). 1028–1035. 52 indexed citations
14.
Ishikawa, Hideaki, Michio Kawano, Kosuke Okada, et al.. (1993). Expressions of DNA topoisomerase I and II gene and the genes possibly related to drug resistance in human myeloma cells. British Journal of Haematology. 83(1). 68–74. 23 indexed citations
15.
Nobuyoshi, Masaharu, et al.. (1993). Identification of a single-stranded DNA-binding protein that interacts with an S1 nuclease-sensitive region in the platelet-derived growth factor A-chain gene promoter. Journal of Biological Chemistry. 268(14). 10681–10685. 26 indexed citations
16.
Kawano, Michio, N Huang, Hideo Tanaka, et al.. (1991). Homotypic cell aggregations of human myeloma cells with ICAM‐1 and LFA‐1 molecules. British Journal of Haematology. 79(4). 583–588. 34 indexed citations
17.
18.
Yamamoto, I., Teruki Sone, Koji Iwato, et al.. (1990). Production of interleukin 1β, a potent bone resorbing cytokine, by cultured human myeloma cells. 330–335. 8 indexed citations
19.
20.
Tanabe, Osamu, Michio Kawano, Hideo Tanaka, et al.. (1989). BSF‐2/IL‐6 does not augment lg secretion but stimulates proliferation in myeloma cells. American Journal of Hematology. 31(4). 258–262. 31 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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