Toshiaki Utsumi

1.3k total citations
51 papers, 1.1k citations indexed

About

Toshiaki Utsumi is a scholar working on Oncology, Surgery and Genetics. According to data from OpenAlex, Toshiaki Utsumi has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 18 papers in Surgery and 15 papers in Genetics. Recurrent topics in Toshiaki Utsumi's work include Estrogen and related hormone effects (14 papers), Breast Cancer Treatment Studies (11 papers) and Colorectal Cancer Surgical Treatments (9 papers). Toshiaki Utsumi is often cited by papers focused on Estrogen and related hormone effects (14 papers), Breast Cancer Treatment Studies (11 papers) and Colorectal Cancer Surgical Treatments (9 papers). Toshiaki Utsumi collaborates with scholars based in Japan, Sweden and United Kingdom. Toshiaki Utsumi's co-authors include Y. Takagi, Nobuhiro Harada, M. Maruta, Nobuhiro Harada, Kotaro Maeda, Noriko Yoshimura, Jiro Ando, Shinji Takeuchi, Shinji Takeuchi and Harunobu Sato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Toshiaki Utsumi

45 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toshiaki Utsumi Japan 16 671 383 351 156 149 51 1.1k
Georgia Sotiropoulou‐Bonikou Greece 16 324 0.5× 445 1.2× 252 0.7× 210 1.3× 126 0.8× 36 973
Han‐Jong Kim South Korea 18 270 0.4× 616 1.6× 339 1.0× 89 0.6× 153 1.0× 24 1.1k
Shuji Nagasaki Japan 15 377 0.6× 263 0.7× 236 0.7× 137 0.9× 35 0.2× 18 688
Susan M. Langan-Fahey United States 9 619 0.9× 281 0.7× 258 0.7× 158 1.0× 28 0.2× 12 862
Virginia Novaro Argentina 19 174 0.3× 375 1.0× 246 0.7× 135 0.9× 53 0.4× 42 907
Peter R. Reczek United States 20 571 0.9× 999 2.6× 127 0.4× 109 0.7× 51 0.3× 31 1.3k
HU Ren-ming China 13 202 0.3× 476 1.2× 90 0.3× 87 0.6× 79 0.5× 31 897
Earl Lawrence United States 12 164 0.2× 733 1.9× 320 0.9× 257 1.6× 95 0.6× 14 1.5k
Brendan D. Looyenga United States 15 128 0.2× 442 1.2× 130 0.4× 162 1.0× 105 0.7× 25 734
D M Ignar-Trowbridge United States 8 743 1.1× 480 1.3× 280 0.8× 89 0.6× 14 0.1× 9 1.1k

Countries citing papers authored by Toshiaki Utsumi

Since Specialization
Citations

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

Fields of papers citing papers by Toshiaki Utsumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshiaki Utsumi

This figure shows the co-authorship network connecting the top 25 collaborators of Toshiaki Utsumi. A scholar is included among the top collaborators of Toshiaki Utsumi 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 Toshiaki Utsumi. Toshiaki Utsumi 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.
Hayashi, Takanori, et al.. (2023). Effect of eribulin on epithelial–mesenchymal transition plasticity in metastatic breast cancer: An exploratory, prospective study. Genes to Cells. 28(5). 364–373. 1 indexed citations
3.
Kijima, Yuko, Munetsugu Hirata, Yoshiaki Shinden, et al.. (2019). Oncoplastic breast surgery combining partial mastectomy with immediate breast reshaping using multiple local flaps for a patient with slim body. Breast Cancer. 26(4). 529–534. 3 indexed citations
4.
Hayashi, Takanori, et al.. (2018). Forskolin increases the effect of everolimus on aromatase inhibitor-resistant breast cancer cells. Oncotarget. 9(34). 23451–23461. 7 indexed citations
6.
Honma, Naoko, Shigehira Saji, Makiko Hirose, et al.. (2011). Sex steroid hormones in pairs of tumor and serum from breast cancer patients and pathobiological role of androstene‐3β, 17β‐diol. Cancer Science. 102(10). 1848–1854. 36 indexed citations
7.
Honma, Naoko, Kaiyo Takubo, Motoji Sawabe, et al.. (2009). Alternative use of multiple exons 1 of aromatase gene in cancerous and normal breast tissues from women over the age of 80 years. Breast Cancer Research. 11(4). R48–R48. 4 indexed citations
8.
Suzuki, Masayo, Hiroyuki Ishida, Yukimasa Shiotsu, et al.. (2008). Expression level of enzymes related to in situ estrogen synthesis and clinicopathological parameters in breast cancer patients. The Journal of Steroid Biochemistry and Molecular Biology. 113(3-5). 195–201. 29 indexed citations
9.
Utsumi, Toshiaki, et al.. (2007). Recent perspectives of endocrine therapy for breast cancer. Breast Cancer. 14(2). 194–199. 27 indexed citations
10.
Honma, Naoko, Kaiyo Takubo, Motoji Sawabe, et al.. (2006). Estrogen-Metabolizing Enzymes in Breast Cancers from Women over the Age of 80 Years. The Journal of Clinical Endocrinology & Metabolism. 91(2). 607–613. 32 indexed citations
11.
Utsumi, Toshiaki, Mathew P. Leese, Surinder K. Chander, et al.. (2005). The effects of 2-methoxyoestrogen sulphamates on the in vitro and in vivo proliferation of breast cancer cells. The Journal of Steroid Biochemistry and Molecular Biology. 94(1-3). 219–227. 29 indexed citations
12.
Katsuno, Hidetoshi, et al.. (2004). [Variation of cytokines with administration of chemotherapeutic and immuno-therapeutic drugs for colorectal cancer].. PubMed. 31(11). 1652–4. 1 indexed citations
13.
Maeda, Kotaro, et al.. (2004). Local correction of a transverse loop colostomy prolapse by means of a stapler device. Techniques in Coloproctology. 8(1). 45–46. 33 indexed citations
14.
Maeda, Kotaro, M. Maruta, Toshiaki Utsumi, Y Hosoda, & Yoshimune Horibe. (2002). Does perifascial rectal excision (i.e. TME) when combined with the autonomic nerve‐sparing technique interfere with operative radicality?. Colorectal Disease. 4(4). 233–239. 8 indexed citations
15.
Maeda, Koutarou, et al.. (2002). Section 6. Digestive organs. Biomedicine & Pharmacotherapy. 56. 222–226. 17 indexed citations
16.
Maruta, M., et al.. (2002). Epithelial cyst of the gallbladder associated with adenocarcinoma. Journal of Hepato-Biliary-Pancreatic Surgery. 9(3). 389–392. 5 indexed citations
17.
Utsumi, Toshiaki, Noriko Yoshimura, M. Maruta, et al.. (2000). Correlation of cyclin D1 mRNA levels with clinico-pathological parameters and clinical outcome in human breast carcinomas. International Journal of Cancer. 89(1). 39–43. 26 indexed citations
18.
Maeda, Koutarou, M. Maruta, Toshiaki Utsumi, & Harunobu Sato. (2000). Minimally-invasive transanal surgery (MITAS) using the F-type anal canal retractor for tumours in the lower rectum. Minimally Invasive Therapy & Allied Technologies. 9(1). 47–49. 3 indexed citations
19.
Utsumi, Toshiaki, Noriko Yoshimura, M. Maruta, et al.. (1999). Significance of steroid sulfatase expression in human breast cancer. Breast Cancer. 6(4). 298–300. 17 indexed citations
20.
Tsuno, K, et al.. (1993). A study on the lung function in alpha 1-antitrypsin-deficient (PiMZ) patients.. PubMed. 42(1). 41–5. 4 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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