Koji Tsumagari

904 total citations
25 papers, 649 citations indexed

About

Koji Tsumagari is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Koji Tsumagari has authored 25 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Koji Tsumagari's work include Muscle Physiology and Disorders (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers) and RNA modifications and cancer (5 papers). Koji Tsumagari is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers) and RNA modifications and cancer (5 papers). Koji Tsumagari collaborates with scholars based in United States, Japan and Egypt. Koji Tsumagari's co-authors include Melanie Ehrlich, Michelle Lacey, Gregory E. Crawford, Emad Kandil, Zakaria Y. Abd Elmageed, Carl Baribault, Janet E. Sowden, Rabi Tawil, Lingyun Song and Andrew B. Sholl and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Cancer Research.

In The Last Decade

Koji Tsumagari

25 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koji Tsumagari United States 17 525 119 102 90 61 25 649
Ana Luísa Silva Portugal 13 563 1.1× 96 0.8× 50 0.5× 104 1.2× 59 1.0× 28 743
María Roqué Argentina 12 333 0.6× 107 0.9× 66 0.6× 103 1.1× 73 1.2× 37 483
Suna Önengüt United States 11 396 0.8× 71 0.6× 120 1.2× 88 1.0× 16 0.3× 11 551
R Shen United States 12 354 0.7× 187 1.6× 60 0.6× 90 1.0× 37 0.6× 17 566
Bernd Martin Germany 11 438 0.8× 129 1.1× 66 0.6× 36 0.4× 26 0.4× 12 560
Begoña Pineda Spain 15 327 0.6× 127 1.1× 73 0.7× 174 1.9× 25 0.4× 24 516
Aki Mikami United States 9 455 0.9× 128 1.1× 20 0.2× 68 0.8× 75 1.2× 11 633
Helen E. Speedy United Kingdom 8 310 0.6× 38 0.3× 124 1.2× 54 0.6× 16 0.3× 11 464
Yehua Weng United States 7 268 0.5× 117 1.0× 49 0.5× 64 0.7× 26 0.4× 8 428

Countries citing papers authored by Koji Tsumagari

Since Specialization
Citations

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

Fields of papers citing papers by Koji Tsumagari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Tsumagari

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Tsumagari. A scholar is included among the top collaborators of Koji Tsumagari 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 Koji Tsumagari. Koji Tsumagari 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.
Elmageed, Zakaria Y. Abd, Robert F. Moore, Koji Tsumagari, et al.. (2018). Prognostic Role of BRAFV600E Cellular Localization in Melanoma. Journal of the American College of Surgeons. 226(4). 526–537. 20 indexed citations
2.
Song, Lingyun, Ami M. Kabadi, Jennifer B. Kwon, et al.. (2017). Incomplete MyoD-induced transdifferentiation is associated with chromatin remodeling deficiencies. Nucleic Acids Research. 45(20). 11684–11699. 24 indexed citations
3.
Moore, Robert F., Andrew B. Sholl, Zaid Al‐Qurayshi, et al.. (2016). Metadherin Expression is Associated with Extrathyroidal Extension in Papillary Thyroid Cancer Patients. Annals of Surgical Oncology. 23(9). 2883–2888. 5 indexed citations
4.
Elmageed, Zakaria Y. Abd, Andrew B. Sholl, Koji Tsumagari, et al.. (2016). Immunohistochemistry as an accurate tool for evaluating BRAF-V600E mutation in 130 samples of papillary thyroid cancer. Surgery. 161(4). 1122–1128. 26 indexed citations
5.
6.
Tsumagari, Koji, Zakaria Y. Abd Elmageed, Andrew B. Sholl, et al.. (2015). Simultaneous suppression of the MAP kinase and NF-κB pathways provides a robust therapeutic potential for thyroid cancer. Cancer Letters. 368(1). 46–53. 27 indexed citations
7.
Tsumagari, Koji, Douglas P. Slakey, Debasis Mondal, Asim B. Abdel‐Mageed, & Emad Kandil. (2014). Synergistic Effects for Aggressive Thyroid Cancer by Simultaneous Suppression of the MAP Kinase and NF-kB Pathways. Journal of Surgical Research. 186(2). 560–560. 2 indexed citations
8.
Kandil, Emad, Koji Tsumagari, Jingjing Ma, et al.. (2013). Synergistic inhibition of thyroid cancer by suppressing MAPK/PI3K/AKT pathways. Journal of Surgical Research. 184(2). 898–906. 30 indexed citations
9.
Tsumagari, Koji, Carl Baribault, Jolyon Terragni, et al.. (2013). DNA methylation and differentiation: HOX genes in muscle cells. Epigenetics & Chromatin. 6(1). 25–25. 46 indexed citations
10.
Tsumagari, Koji, Carl Baribault, Jolyon Terragni, et al.. (2013). Early de novo DNA methylation and prolonged demethylation in the muscle lineage. Epigenetics. 8(3). 317–332. 73 indexed citations
11.
Tsumagari, Koji, Michelle Lacey, Carl Baribault, et al.. (2011). Gene expression during normal and FSHD myogenesis. BMC Medical Genomics. 4(1). 67–67. 81 indexed citations
12.
Pope, Benjamin D., Koji Tsumagari, Tyrone Ryba, et al.. (2011). DNA Replication Timing Is Maintained Genome-Wide in Primary Human Myoblasts Independent of D4Z4 Contraction in FSH Muscular Dystrophy. PLoS ONE. 6(11). e27413–e27413. 18 indexed citations
13.
Tsumagari, Koji, et al.. (2010). FSH dystrophy and a subtelomeric 4q haplotype: a new assay and associations with disease. Journal of Medical Genetics. 47(11). 745–751. 9 indexed citations
14.
Xu, Xueqing, Koji Tsumagari, Janet E. Sowden, et al.. (2009). DNaseI hypersensitivity at gene-poor, FSH dystrophy-linked 4q35.2. Nucleic Acids Research. 37(22). 7381–7393. 17 indexed citations
15.
Tsumagari, Koji, Lixin Qi, Chunbo Shao, et al.. (2008). Epigenetics of a tandem DNA repeat: chromatin DNaseI sensitivity and opposite methylation changes in cancers. Nucleic Acids Research. 36(7). 2196–2207. 48 indexed citations
16.
Ehrlich, Melanie, et al.. (2006). Hybridization analysis of D4Z4 repeat arrays linked to FSHD. Chromosoma. 116(2). 107–116. 22 indexed citations
17.
Nishiyama, Rie, Lixin Qi, Koji Tsumagari, et al.. (2005). A DNA repeat, NBL2, is hypermethylated in some cancers but hypomethylated in others. Cancer Biology & Therapy. 4(4). 446–454. 31 indexed citations
18.
Tsumagari, Koji, Kazuo Chijiiwa, Hisaki Nagai, et al.. (2005). Postoperative prognosis of node-negative breast cancers predicted by gene-expression profiling on a cDNA microarray of 25,344 genes. Breast Cancer. 12(3). 166–177. 5 indexed citations
19.
Nagahata, Takemitsu, Masamitsu Onda, Mitsuru Emi, et al.. (2004). Expression profiling to predict postoperative prognosis for estrogen receptor‐negative breast cancers by analysis of 25,344 genes on a cDNA microarray. Cancer Science. 95(3). 218–225. 59 indexed citations
20.
Tsuneizumi, Michiko, Mitsuru Emi, Akira Hirano, et al.. (2002). Association of allelic loss at 8p22 with poor prognosis among breast cancer cases treated with high-dose adjuvant chemotherapy. Cancer Letters. 180(1). 75–82. 38 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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