Toshi Yoneda

739 total citations
10 papers, 608 citations indexed

About

Toshi Yoneda is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Surgery. According to data from OpenAlex, Toshi Yoneda has authored 10 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Oncology and 2 papers in Surgery. Recurrent topics in Toshi Yoneda's work include Bone health and treatments (3 papers), Myasthenia Gravis and Thymoma (2 papers) and Pituitary Gland Disorders and Treatments (2 papers). Toshi Yoneda is often cited by papers focused on Bone health and treatments (3 papers), Myasthenia Gravis and Thymoma (2 papers) and Pituitary Gland Disorders and Treatments (2 papers). Toshi Yoneda collaborates with scholars based in Japan and United States. Toshi Yoneda's co-authors include Nandini Ghosh‐Choudhury, Goutam Ghosh Choudhury, Chandi C. Mandal, Kenneth M. Yamada, Rebecca Slack, Scott N. Mueller, Emma T. Bowden, Akira Myoui, Kathy Traianedes and Dirk Anderson and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Experimental Cell Research.

In The Last Decade

Toshi Yoneda

9 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toshi Yoneda Japan 7 257 187 180 126 91 10 608
Yingying Hao China 18 504 2.0× 174 0.9× 209 1.2× 74 0.6× 47 0.5× 48 874
Libin Sun China 17 444 1.7× 165 0.9× 334 1.9× 78 0.6× 90 1.0× 45 847
Christian Woenckhaus Germany 18 433 1.7× 149 0.8× 148 0.8× 38 0.3× 109 1.2× 34 769
Takuya Genda Japan 21 494 1.9× 215 1.1× 133 0.7× 181 1.4× 174 1.9× 68 1.2k
Carla Flandina Italy 13 302 1.2× 187 1.0× 138 0.8× 32 0.3× 32 0.4× 31 592
Pietro Pantaleo Italy 13 164 0.6× 118 0.6× 56 0.3× 44 0.3× 87 1.0× 20 469
Yuji Matsuzawa Japan 11 259 1.0× 60 0.3× 71 0.4× 38 0.3× 150 1.6× 17 499
Margaret L. Snyder United States 11 141 0.5× 33 0.2× 197 1.1× 91 0.7× 289 3.2× 16 602
David L. Straight United States 17 320 1.2× 119 0.6× 92 0.5× 59 0.5× 29 0.3× 28 906
Shalini Anthwal Canada 8 312 1.2× 117 0.6× 140 0.8× 43 0.3× 61 0.7× 10 599

Countries citing papers authored by Toshi Yoneda

Since Specialization
Citations

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

Fields of papers citing papers by Toshi Yoneda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshi Yoneda

This figure shows the co-authorship network connecting the top 25 collaborators of Toshi Yoneda. A scholar is included among the top collaborators of Toshi Yoneda 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 Toshi Yoneda. Toshi Yoneda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Mandal, Chandi C., et al.. (2011). Simvastatin Prevents Skeletal Metastasis of Breast Cancer by an Antagonistic Interplay between p53 and CD44. Journal of Biological Chemistry. 286(13). 11314–11327. 118 indexed citations
2.
Mandal, Chandi C., et al.. (2010). Fish oil prevents breast cancer cell metastasis to bone. Biochemical and Biophysical Research Communications. 402(4). 602–607. 80 indexed citations
4.
Maruyama, Yoshikazu, et al.. (2007). A case of mixed connective tissue disease complicated with thymic carcinoma and Hashimoto's thyroiditis. Modern Rheumatology. 17(1). 63–66. 3 indexed citations
5.
Yoneda, Toshi, Youhei Takeda, Mikiya Usukura, et al.. (2007). Aldosterone Breakthrough During Angiotensin II Receptor Blockade in Hypertensive Patients With Diabetes Mellitus. American Journal of Hypertension. 20(12). 1329–1333. 40 indexed citations
6.
Maruyama, Yoshikazu, et al.. (2007). A case of mixed connective tissue disease complicated with thymic carcinoma and Hashimoto's thyroiditis. Modern Rheumatology. 17(1). 63–66. 2 indexed citations
7.
Bowden, Emma T., Rebecca Slack, Akira Myoui, et al.. (2006). Co-localization of cortactin and phosphotyrosine identifies active invadopodia in human breast cancer cells. Experimental Cell Research. 312(8). 1240–1253. 152 indexed citations
8.
Oyajobi, Babatunde O., Dirk Anderson, Kathy Traianedes, et al.. (2001). Therapeutic efficacy of a soluble receptor activator of nuclear factor kappaB-IgG Fc fusion protein in suppressing bone resorption and hypercalcemia in a model of humoral hypercalcemia of malignancy.. PubMed. 61(6). 2572–8. 99 indexed citations
9.
Reddy, Sakamuri V., Rowena D. Devlin, Cheikh Menaa, et al.. (1998). Isolation and characterization of a cDNA clone encoding a novel peptide (OSF) that enhances osteoclast formation and bone resorption. Journal of Cellular Physiology. 177(4). 636–645. 51 indexed citations
10.
Matsumoto, Yoshirô, Toshi Yoneda, & Kiran K. Soma. (1995). INTERLEUKIN-1 MEDIATES ROOT RESORPTION BY ODONTOCLASTS IN AUTOCRINE/PARACRINE FASHIONS. Journal of Dental Research. 74. 549.

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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