Hideaki Tsutsumida

743 total citations
13 papers, 608 citations indexed

About

Hideaki Tsutsumida is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hideaki Tsutsumida has authored 13 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hideaki Tsutsumida's work include Glycosylation and Glycoproteins Research (8 papers), Epigenetics and DNA Methylation (6 papers) and RNA modifications and cancer (5 papers). Hideaki Tsutsumida is often cited by papers focused on Glycosylation and Glycoproteins Research (8 papers), Epigenetics and DNA Methylation (6 papers) and RNA modifications and cancer (5 papers). Hideaki Tsutsumida collaborates with scholars based in Japan and United States. Hideaki Tsutsumida's co-authors include Masamichi Goto, Suguru Yonezawa, Mitsuharu Nomoto, Shinichi Kitajima, Michiyo Higashi, Tomofumi Hamada, Norishige Yamada, Michael A. Hollingsworth, Yasunobu Hirotsu and Ichiro Kubota and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and British Journal of Cancer.

In The Last Decade

Hideaki Tsutsumida

13 papers receiving 598 citations

Peers

Hideaki Tsutsumida
Hoa Q. Trummell United States
John D. Miedler United States
Claire E. Repellin United States
Hwang-Phill Kim South Korea
K Imai Japan
Hoa Q. Trummell United States
Hideaki Tsutsumida
Citations per year, relative to Hideaki Tsutsumida Hideaki Tsutsumida (= 1×) peers Hoa Q. Trummell

Countries citing papers authored by Hideaki Tsutsumida

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Tsutsumida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Tsutsumida

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

All Works

13 of 13 papers shown
1.
Yokoyama, Seiya, Michiyo Higashi, Hideaki Tsutsumida, et al.. (2017). TET1-mediated DNA hypomethylation regulates the expression of MUC4 in lung cancer. Genes & Cancer. 8(3-4). 517–527. 14 indexed citations
2.
Hasegawa, Hiroo, Yasuaki Yamada, Suguru Yonezawa, et al.. (2011). Aberrant overexpression of membrane-associated mucin contributes to tumor progression in adult T-cell leukemia/lymphoma cells. Leukemia & lymphoma. 52(6). 1108–1117. 8 indexed citations
3.
Yamada, Norishige, Sho Kitamoto, Seiya Yokoyama, et al.. (2011). Epigenetic regulation of mucin genes in human cancers. Clinical Epigenetics. 2(2). 85–96. 42 indexed citations
4.
Yamada, Norishige, Seiya Yokoyama, Hideaki Tsutsumida, et al.. (2010). Expression of MUC5AC, an early marker of pancreatobiliary cancer, is regulated by DNA methylation in the distal promoter region in cancer cells. Journal of Hepato-Biliary-Pancreatic Sciences. 17(6). 844–854. 23 indexed citations
5.
Tsutsumida, Hideaki, et al.. (2009). Promoter CpG methylation in cancer cells contributes to the regulation of MUC4. British Journal of Cancer. 100(2). 344–351. 48 indexed citations
6.
Yamada, Norishige, Hideaki Tsutsumida, Tomofumi Hamada, et al.. (2008). MUC1 Expression Is Regulated by DNA Methylation and Histone H3 Lysine 9 Modification in Cancer Cells. Cancer Research. 68(8). 2708–2716. 92 indexed citations
8.
Tsutsumida, Hideaki, Norishige Yamada, Shinichi Kitajima, et al.. (2006). Micropapillary pattern (MPP) is an excellent predictor of a poor prognosis in lung adenocarcinoma, and even stronger evidence is loss of SP-A expression in MPP.. Cancer Research. 66. 1233–1233. 1 indexed citations
9.
Yamada, Norishige, Tomofumi Hamada, Masamichi Goto, et al.. (2006). MUC2 expression is regulated by histone H3 modification and DNA methylation in pancreatic cancer. International Journal of Cancer. 119(8). 1850–1857. 62 indexed citations
10.
Tsutsumida, Hideaki, Masamichi Goto, Shinichi Kitajima, et al.. (2006). MUC4 expression correlates with poor prognosis in small-sized lung adenocarcinoma. Lung Cancer. 55(2). 195–203. 60 indexed citations
11.
Tsutsumida, Hideaki, Benjamin Swanson, Pankaj K. Singh, et al.. (2006). RNA Interference Suppression of MUC1 Reduces the Growth Rate and Metastatic Phenotype of Human Pancreatic Cancer Cells. Clinical Cancer Research. 12(10). 2976–2987. 93 indexed citations
12.
Hamada, Tomofumi, Masamichi Goto, Hideaki Tsutsumida, et al.. (2005). Mapping of the methylation pattern of the MUC2 promoter in pancreatic cancer cell lines, using bisulfite genomic sequencing. Cancer Letters. 227(2). 175–184. 29 indexed citations
13.

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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