Tomofumi Hamada

1.7k total citations
49 papers, 1.2k citations indexed

About

Tomofumi Hamada is a scholar working on Molecular Biology, Condensed Matter Physics and Biomedical Engineering. According to data from OpenAlex, Tomofumi Hamada has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Condensed Matter Physics and 13 papers in Biomedical Engineering. Recurrent topics in Tomofumi Hamada's work include Physics of Superconductivity and Magnetism (13 papers), Superconducting Materials and Applications (11 papers) and Glycosylation and Glycoproteins Research (10 papers). Tomofumi Hamada is often cited by papers focused on Physics of Superconductivity and Magnetism (13 papers), Superconducting Materials and Applications (11 papers) and Glycosylation and Glycoproteins Research (10 papers). Tomofumi Hamada collaborates with scholars based in Japan and United States. Tomofumi Hamada's co-authors include Norishige Yamada, Suguru Yonezawa, Jennifer M. Bailey, Michel M. Ouellette, Michael A. Hollingsworth, John P. Eggers, Thomas Caffery, Benjamin Swanson, Pankaj K. Singh and Masamichi Goto and has published in prestigious journals such as Cancer, Cancer Research and Clinical Cancer Research.

In The Last Decade

Tomofumi Hamada

48 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomofumi Hamada Japan 17 671 438 187 180 123 49 1.2k
Robert Mandić Germany 21 458 0.7× 406 0.9× 302 1.6× 200 1.1× 138 1.1× 70 1.3k
Hongfang Zhang China 19 547 0.8× 305 0.7× 142 0.8× 309 1.7× 112 0.9× 52 1.2k
Sang‐Hun Shin South Korea 23 482 0.7× 244 0.6× 158 0.8× 141 0.8× 53 0.4× 77 1.4k
Raghu Radhakrishnan India 24 574 0.9× 260 0.6× 157 0.8× 283 1.6× 79 0.6× 129 1.5k
Peter A. Hill United Kingdom 13 488 0.7× 313 0.7× 102 0.5× 244 1.4× 79 0.6× 13 927
Ineke D.C. Jansen Netherlands 21 560 0.8× 315 0.7× 82 0.4× 176 1.0× 99 0.8× 38 1.2k
K. Dixon United States 19 684 1.0× 288 0.7× 91 0.5× 211 1.2× 78 0.6× 44 1.2k
Faizan Alawi United States 22 493 0.7× 259 0.6× 236 1.3× 127 0.7× 88 0.7× 83 1.9k
Slavko Mojsilović Serbia 23 461 0.7× 245 0.6× 202 1.1× 147 0.8× 376 3.1× 75 1.5k
Xi Yang China 23 824 1.2× 362 0.8× 211 1.1× 283 1.6× 164 1.3× 62 1.8k

Countries citing papers authored by Tomofumi Hamada

Since Specialization
Citations

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

Fields of papers citing papers by Tomofumi Hamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomofumi Hamada

This figure shows the co-authorship network connecting the top 25 collaborators of Tomofumi Hamada. A scholar is included among the top collaborators of Tomofumi Hamada 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 Tomofumi Hamada. Tomofumi Hamada 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.
2.
Hamada, Tomofumi, Seiya Yokoyama, Mahiro Beppu, et al.. (2021). Circulating microRNA Panel as a Potential Novel Biomarker for Oral Squamous Cell Carcinoma Diagnosis. Cancers. 13(3). 449–449. 27 indexed citations
3.
Yamada, Norishige, Yūko Hasegawa, Minghui Yue, et al.. (2015). Xist Exon 7 Contributes to the Stable Localization of Xist RNA on the Inactive X-Chromosome. PLoS Genetics. 11(8). e1005430–e1005430. 40 indexed citations
4.
5.
Hamada, Tomofumi. (2014). Expression of MUC4 is Correlated With Chemoresistance and Survival in Oral Squamous Cell Carcinoma. 1 indexed citations
6.
Kamikawa, Yoshiaki, et al.. (2014). In Vitro Antifungal Activity against Oral Candida Species Using a Denture Base Coated with Silver Nanoparticles. Journal of Nanomaterials. 2014(1). 22 indexed citations
7.
8.
Kamikawa, Yoshiaki, Tomofumi Hamada, Norishige Yamada, et al.. (2014). Combination of MUC1 and MUC4 expression predicts clinical outcome in patients with oral squamous cell carcinoma. International Journal of Clinical Oncology. 20(2). 298–307. 15 indexed citations
9.
Kamikawa, Yoshiaki, Daisuke Hirabayashi, Tomofumi Hamada, et al.. (2013). Clinical study on anti‐fungal drug activity against clinically isolated strains of oral Candida species. Oral Science International. 10(2). 87–94. 2 indexed citations
10.
Hamada, Tomofumi, Masato Hirano, Ichiro Semba, Yoshiaki Kamikawa, & Kazumasa SUGIHARA. (2012). Myofibroblastoma of the tongue: A case report with immunohistochemical findings. Journal of Oral and Maxillofacial Surgery Medicine and Pathology. 24(3). 180–183. 2 indexed citations
11.
Nagata, Satoshi, Tomofumi Hamada, Norishige Yamada, et al.. (2012). Aberrant DNA methylation of tumor‐related genes in oral rinse. Cancer. 118(17). 4298–4308. 70 indexed citations
12.
Hamada, Tomofumi, Masahiro Nomura, Yoshiaki Kamikawa, et al.. (2012). DF3 epitope expression on MUC1 mucin is associated with tumor aggressiveness, subsequent lymph node metastasis, and poor prognosis in patients with oral squamous cell carcinoma. Cancer. 118(21). 5251–5264. 18 indexed citations
13.
Hamada, Tomofumi, Kazumasa Wakamatsu, Satoshi Nagata, et al.. (2011). MUC4: A novel prognostic factor of oral squamous cell carcinoma. International Journal of Cancer. 130(8). 1768–1776. 40 indexed citations
14.
Kador, Peter F., Tomofumi Hamada, Richard A. Reinhardt, & Karen Blessing. (2010). Effect of an Aldose Reductase Inhibitor on Alveolar Bone Loss Associated with Periodontitis in Diabetic Rats. Postgraduate Medicine. 122(3). 138–144. 7 indexed citations
15.
Bailey, Jennifer M., Benjamin Swanson, Tomofumi Hamada, et al.. (2008). Sonic Hedgehog Promotes Desmoplasia in Pancreatic Cancer. Clinical Cancer Research. 14(19). 5995–6004. 404 indexed citations
16.
Goto, Masamichi, Hiroaki Shibahara, Shugo Tamada, et al.. (2005). Aberrant expression of pyloric gland‐type mucin in mucin‐producing bile duct carcinomas: A clear difference between the core peptide and the carbohydrate moiety. Pathology International. 55(8). 464–470. 6 indexed citations
17.
Hamada, Tomofumi, Sumika Matsukita, Masamichi Goto, et al.. (2004). Mucin expression in pleomorphic adenoma of salivary gland: a potential role for MUC1 as a marker to predict recurrence. Journal of Clinical Pathology. 57(8). 813–821. 47 indexed citations
18.
Hamada, Tomofumi, et al.. (2004). Evaluation of an embedded polar C4 phase for hydrophobic protein analysis by reversed-phase liquid chromatography. Journal of Chromatography A. 1043(1). 27–32. 18 indexed citations
19.
Nikawa, Hiroki, et al.. (1998). Effect of endogenous proteins on Candida biofilm formation on acrylic. Journal of Dental Research. 77. 988–988. 2 indexed citations
20.
Hamada, Tomofumi, et al.. (1996). Change of irreversibility fields in pinning-strength-controlled metallic superconductors. Superconductor Science and Technology. 9(6). 474–477.

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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