Masami Ikehata

2.4k total citations
51 papers, 1.6k citations indexed

About

Masami Ikehata is a scholar working on Nephrology, Molecular Biology and Epidemiology. According to data from OpenAlex, Masami Ikehata has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Nephrology, 18 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Masami Ikehata's work include Renal Diseases and Glomerulopathies (15 papers), Parathyroid Disorders and Treatments (8 papers) and Fibroblast Growth Factor Research (6 papers). Masami Ikehata is often cited by papers focused on Renal Diseases and Glomerulopathies (15 papers), Parathyroid Disorders and Treatments (8 papers) and Fibroblast Growth Factor Research (6 papers). Masami Ikehata collaborates with scholars based in Italy, Japan and France. Masami Ikehata's co-authors include Maria Pia Rastaldi, Piergiorgio Messa, Matthias Kretzler, Silvia Armelloni, Deborah Mattinzoli, Matthias A. Neusser, Detlef SchloCombining Diaeresisndorff, Maja T. Lindenmeyer, Clemens D. Cohen and Alessandro Corbelli and has published in prestigious journals such as Nature Medicine, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Masami Ikehata

50 papers receiving 1.6k citations

Peers

Masami Ikehata
Samuel Rotman Switzerland
Keisuke Kawasaki Japan
Markus R. John Switzerland
C Wooding United Kingdom
Arja Pasternack Finland
Eleni Mylona Greece
Chia Chi Sun United States
Mitsuru Hara Japan
Frank Rutsch Germany
Tiina Kipari United Kingdom
Samuel Rotman Switzerland
Masami Ikehata
Citations per year, relative to Masami Ikehata Masami Ikehata (= 1×) peers Samuel Rotman

Countries citing papers authored by Masami Ikehata

Since Specialization
Citations

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

Fields of papers citing papers by Masami Ikehata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masami Ikehata

This figure shows the co-authorship network connecting the top 25 collaborators of Masami Ikehata. A scholar is included among the top collaborators of Masami Ikehata 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 Masami Ikehata. Masami Ikehata 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.
Vettoretti, Simone, Lara Caldiroli, Deborah Mattinzoli, et al.. (2024). Associations of Intact and C-Terminal FGF23 with Inflammatory Markers in Older Patients Affected by Advanced Chronic Kidney Disease. Journal of Clinical Medicine. 13(13). 3967–3967. 5 indexed citations
2.
Elli, Francesca Marta, Deborah Mattinzoli, Masami Ikehata, et al.. (2024). Targeted silencing of GNAS in a human model of osteoprogenitor cells results in the deregulation of the osteogenic differentiation program. Frontiers in Endocrinology. 15. 1296886–1296886.
3.
4.
Li, Min, Silvia Armelloni, Deborah Mattinzoli, et al.. (2023). Crosstalk mechanisms between glomerular endothelial cells and podocytes in renal diseases and kidney transplantation. Kidney Research and Clinical Practice. 43(1). 47–62. 5 indexed citations
5.
Mattinzoli, Deborah, Stefano Turolo, Masami Ikehata, et al.. (2023). MCP1 Inverts the Correlation between FGF23 and Omega 6/3 Ratio: Is It Also True in Renal Transplantation?. Journal of Clinical Medicine. 12(18). 5928–5928. 1 indexed citations
6.
Mattinzoli, Deborah, Stefano Turolo, Carlo Alfieri, et al.. (2022). MCP1 Could Mediate FGF23 and Omega 6/Omega 3 Correlation Inversion in CKD. Journal of Clinical Medicine. 11(23). 7099–7099. 3 indexed citations
7.
Caldiroli, Lara, Simone Vettoretti, Silvia Armelloni, et al.. (2022). Possible Benefits of a Low Protein Diet in Older Patients With CKD at Risk of Malnutrition: A Pilot Randomized Controlled Trial. Frontiers in Nutrition. 8. 782499–782499. 16 indexed citations
8.
Armelloni, Silvia, Deborah Mattinzoli, Masami Ikehata, et al.. (2021). Urinary mRNA Expression of Glomerular Podocyte Markers in Glomerular Disease and Renal Transplant. Diagnostics. 11(8). 1499–1499. 3 indexed citations
9.
Mattinzoli, Deborah, Masami Ikehata, Koji Tsugawa, et al.. (2019). FGF23 and Fetuin-A Interaction and Mesenchymal Osteogenic Transformation. International Journal of Molecular Sciences. 20(4). 915–915. 4 indexed citations
10.
Trudu, Matteo, Céline Schaeffer, Michela Riba, et al.. (2017). Early involvement of cellular stress and inflammatory signals in the pathogenesis of tubulointerstitial kidney disease due to UMOD mutations. Scientific Reports. 7(1). 7383–7383. 26 indexed citations
11.
Rossi, Pia, Ilaria Musante, Maria Summa, et al.. (2012). Compensatory Molecular and Functional Mechanisms in Nervous System of the Grm1crv4 Mouse Lacking the mGlu1 Receptor: A Model for Motor Coordination Deficits. Cerebral Cortex. 23(9). 2179–2189. 21 indexed citations
12.
Mattinzoli, Deborah, Piergiorgio Messa, Alessandro Corbelli, et al.. (2012). A novel model of in vitro osteocytogenesis induced by retinoic acid treatment. European Cells and Materials. 24. 403–425. 25 indexed citations
13.
Puliti, Aldamaria, Pia Rossi, Gianluca Caridi, et al.. (2011). Albuminuria and Glomerular Damage in Mice Lacking the Metabotropic Glutamate Receptor 1. American Journal Of Pathology. 178(3). 1257–1269. 25 indexed citations
14.
Bernascone, Ilenia, Masami Ikehata, Matteo Trudu, et al.. (2010). A transgenic mouse model for uromodulin-associated kidney diseases shows specific tubulo-interstitial damage, urinary concentrating defect and renal failure. Human Molecular Genetics. 19(15). 2998–3010. 70 indexed citations
15.
Vasko, Radovan, Michael Koziolek, Masami Ikehata, et al.. (2009). Role of basic fibroblast growth factor (FGF-2) in diabetic nephropathy and mechanisms of its induction by hyperglycemia in human renal fibroblasts. American Journal of Physiology-Renal Physiology. 296(6). F1452–F1463. 20 indexed citations
16.
Nakahira, Atsushi, et al.. (2003). Effect of Magnetic Fields on Collagen Gel Contraction with Addition of Bioceramics. Journal of the Magnetics Society of Japan. 27(5). 670–674. 2 indexed citations
17.
Ikehata, Masami, Kei Numazaki, & Shunzo Chiba. (2000). Analysis ofChlamydia trachomatisserovars in endocervical specimens derived from pregnant Japanese women. FEMS Immunology & Medical Microbiology. 27(1). 35–41. 27 indexed citations
18.
Ikehata, Masami. (2000). Analysis of Chlamydia trachomatis serovars in endocervical specimens derived from pregnant Japanese women. FEMS Immunology & Medical Microbiology. 27(1). 35–41. 2 indexed citations
19.
Numazaki, Kei, Hideomi Asanuma, Masami Ikehata, & Shunzo Chiba. (1998). Detection of cytokines and cytomegalovirus DNA in serum as test for congenital infection. Early Human Development. 52(1). 43–48. 5 indexed citations
20.

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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