Masato Mikami

1.4k total citations
37 papers, 526 citations indexed

About

Masato Mikami is a scholar working on Rheumatology, Molecular Biology and Periodontics. According to data from OpenAlex, Masato Mikami has authored 37 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Rheumatology, 12 papers in Molecular Biology and 7 papers in Periodontics. Recurrent topics in Masato Mikami's work include Bone and Dental Protein Studies (14 papers), dental development and anomalies (10 papers) and Oral microbiology and periodontitis research (7 papers). Masato Mikami is often cited by papers focused on Bone and Dental Protein Studies (14 papers), dental development and anomalies (10 papers) and Oral microbiology and periodontitis research (7 papers). Masato Mikami collaborates with scholars based in Japan, United States and South Korea. Masato Mikami's co-authors include Mikio Ishiyama, Yuichi Mori, Eishun Tsuchida, Ichiro Sasagawa, Hiroshi Yoshioka, Hitoyata Shimokawa, Takashi Uchida, Kazuhiko Kawasaki, M Takahashi and Takeshi Nakamura and has published in prestigious journals such as Gene, Journal of Periodontology and Cell and Tissue Research.

In The Last Decade

Masato Mikami

36 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masato Mikami Japan 12 164 136 81 62 60 37 526
Jan Štembírek Czechia 11 156 1.0× 47 0.3× 35 0.4× 12 0.2× 60 1.0× 39 442
João Paulo Mardegan Issa Brazil 16 151 0.9× 71 0.5× 161 2.0× 9 0.1× 99 1.6× 65 720
K. Prostak United States 13 160 1.0× 210 1.5× 196 2.4× 66 1.1× 57 0.9× 27 620
Yung‐Ching Chien Canada 10 68 0.4× 103 0.8× 191 2.4× 15 0.2× 23 0.4× 13 547
A.G. Leaver United Kingdom 17 315 1.9× 273 2.0× 55 0.7× 19 0.3× 29 0.5× 46 905
Ted Lundgren Sweden 18 296 1.8× 237 1.7× 57 0.7× 5 0.1× 18 0.3× 44 796
James L. Hiatt United States 9 108 0.7× 40 0.3× 44 0.5× 8 0.1× 73 1.2× 30 474
J.J. Vogel United States 18 153 0.9× 163 1.2× 66 0.8× 12 0.2× 50 0.8× 46 787
Jay D. Decker United States 10 190 1.2× 202 1.5× 22 0.3× 3 0.0× 33 0.6× 14 450
Patrick OʼShea United States 15 361 2.2× 31 0.2× 46 0.6× 17 0.3× 53 0.9× 45 986

Countries citing papers authored by Masato Mikami

Since Specialization
Citations

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

Fields of papers citing papers by Masato Mikami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masato Mikami

This figure shows the co-authorship network connecting the top 25 collaborators of Masato Mikami. A scholar is included among the top collaborators of Masato Mikami 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 Masato Mikami. Masato Mikami 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.
Mikami, Masato, et al.. (2023). Effects of Sr2+, BO33−, and SiO32− on Differentiation of Human Dental Pulp Stem Cells into Odontoblast-Like Cells. Biological Trace Element Research. 201(12). 5585–5600. 5 indexed citations
2.
Mikami, Masato, et al.. (2021). Convergent losses of SCPP genes and ganoid scales among non-teleost actinopterygians. Gene. 811. 146091–146091. 9 indexed citations
3.
Kawasaki, Kazuhiko, Joseph N. Keating, Mitsushiro Nakatomi, et al.. (2020). Coevolution of enamel, ganoin, enameloid, and their matrix SCPP genes in osteichthyans. iScience. 24(1). 102023–102023. 31 indexed citations
4.
Oka, Shunya, et al.. (2019). Properties of fucoidans beneficial to oral healthcare. Odontology. 108(1). 34–42. 30 indexed citations
5.
Sasagawa, Ichiro, Shunya Oka, Masato Mikami, et al.. (2016). Immunohistochemical and Western Blotting Analyses of Ganoine in the Ganoid Scales of Lepisosteus oculatus: an Actinopterygian Fish. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 326(3). 193–209. 7 indexed citations
6.
Sasagawa, Ichiro, et al.. (2014). Immunohistochemical and Western blot analyses of collar enamel in the jaw teeth of gars,Lepisosteus oculatus, an actinopterygian fish. Connective Tissue Research. 55(3). 225–233. 4 indexed citations
7.
Sasagawa, Ichiro, et al.. (2013). Teeth and ganoid scales in Polypterus and Lepisosteus, the basic actinopterygian fish: An approach to understand the origin of the tooth enamel. Journal of Oral Biosciences. 55(2). 76–84. 22 indexed citations
8.
Mikami, Masato, et al.. (2012). Comparative Studies on Microvascular Endothelial Cells Isolated From Periodontal Tissue. Journal of Periodontology. 84(7). 1002–1009. 8 indexed citations
9.
Sasagawa, Ichiro, et al.. (2012). Fine structural and immunohistochemical detection of collar enamel in the teeth of Polypterus senegalus, an actinopterygian fish. Cell and Tissue Research. 347(2). 369–381. 13 indexed citations
10.
Mikami, Masato, et al.. (2012). Specificity of Antimicrobial Peptide LL‐37 to Neutralize Periodontopathogenic Lipopolysaccharide Activity in Human Oral Fibroblasts. Journal of Periodontology. 84(2). 256–264. 18 indexed citations
11.
Mikami, Masato, et al.. (2011). Effect of aging on BCG immunostimulation of Porphyromonas gingivalis infection in mice. Biomedical Research. 32(1). 45–54. 6 indexed citations
12.
Cai, Jinglei, Sung Won Cho, Mikio Ishiyama, et al.. (2009). Chick tooth induction revisited. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 312B(5). 465–472. 4 indexed citations
13.
Mikami, Masato, et al.. (2009). Macrophages Contribute to the Elimination of Porphyromonas gingivalis More Strongly Than Neutrophils in Vivo. Journal of Oral Biosciences. 51(2). 97–104. 1 indexed citations
14.
Mikami, Masato, et al.. (2008). Participation of glutathione in the elimination of Porphyromonas gingivalis in vivo. Oral Microbiology and Immunology. 23(6). 441–448. 2 indexed citations
15.
Mikami, Masato, et al.. (2003). Characterization of the Cell Surface Substances of Fusobacterium nucleatum that Induce a Chemiluminescence Response by Human Neutrophils.. Nihon Shishubyo Gakkai Kaishi (Journal of the Japanese Society of Periodontology). 45(3). 215–228. 1 indexed citations
16.
Mikami, Masato, et al.. (2003). The Reduction of Fusobacterium nucleatum in Mice Is Irrelevant to the Nitric Oxide Induced by iNOS. Microbiology and Immunology. 47(1). 27–35. 2 indexed citations
17.
18.
Shimizu, Shinichi, Manabu Yamazaki, Sunao Kubota, et al.. (1996). In Vitro Studies on a New Method for Islet Microencapsulation Using a Thermoreversible Gelation Polymer, N‐Isopropylacrylamide‐Based Copolymer. Artificial Organs. 20(11). 1232–1237. 34 indexed citations
19.
20.
Satoh, Manabu, et al.. (1991). [A case of Schönlein-Henoch purpura with myocardial complications].. PubMed. 39(3). 273–7. 8 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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