Takashi Sugino

8.4k total citations
411 papers, 6.5k citations indexed

About

Takashi Sugino is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Oncology. According to data from OpenAlex, Takashi Sugino has authored 411 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Electrical and Electronic Engineering, 105 papers in Materials Chemistry and 97 papers in Oncology. Recurrent topics in Takashi Sugino's work include Semiconductor materials and devices (86 papers), Diamond and Carbon-based Materials Research (74 papers) and Metal and Thin Film Mechanics (44 papers). Takashi Sugino is often cited by papers focused on Semiconductor materials and devices (86 papers), Diamond and Carbon-based Materials Research (74 papers) and Metal and Thin Film Mechanics (44 papers). Takashi Sugino collaborates with scholars based in Japan, United Kingdom and United States. Takashi Sugino's co-authors include Junji Shirafuji, Chiharu Kimura, T. Yamamoto, Kazuhiro Yoshida, Toshimitsu Suzuki, Takashi Kusakabe, Steve Goodison, Hidemitsu Aoki, Seiji Kawasaki and John Bolodeoku and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Takashi Sugino

389 papers receiving 6.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takashi Sugino Japan 40 1.8k 1.4k 1.4k 1.3k 878 411 6.5k
Thomas Fischer Germany 45 1.9k 1.0× 1.7k 1.2× 734 0.5× 919 0.7× 1.1k 1.2× 202 9.1k
H. Huber Austria 47 590 0.3× 2.2k 1.5× 774 0.6× 1.6k 1.3× 381 0.4× 308 7.8k
Jeong Hyeon Lee South Korea 42 699 0.4× 1.8k 1.2× 985 0.7× 1.4k 1.1× 794 0.9× 283 6.8k
Li Li China 41 1.5k 0.8× 1.5k 1.0× 832 0.6× 2.5k 1.9× 1.1k 1.3× 373 7.1k
Hiroaki Takeda Japan 37 2.7k 1.5× 598 0.4× 1.8k 1.4× 567 0.4× 272 0.3× 261 5.1k
Ching‐Hsuan Tung United States 65 3.0k 1.6× 6.6k 4.5× 1.8k 1.3× 1.4k 1.0× 1.8k 2.1× 288 16.7k
Yong‐Min Huh South Korea 49 3.8k 2.1× 3.3k 2.3× 1.4k 1.0× 599 0.5× 506 0.6× 262 13.0k
Ji‐Ho Park South Korea 51 3.4k 1.8× 3.6k 2.5× 821 0.6× 603 0.5× 1.0k 1.2× 228 11.4k
Mark E. Law United States 40 893 0.5× 846 0.6× 2.2k 1.6× 732 0.6× 422 0.5× 280 5.9k
Katherine W. Ferrara United States 67 4.8k 2.6× 2.2k 1.5× 272 0.2× 526 0.4× 590 0.7× 316 14.6k

Countries citing papers authored by Takashi Sugino

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Sugino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Sugino

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Sugino. A scholar is included among the top collaborators of Takashi Sugino 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 Takashi Sugino. Takashi Sugino 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.
Iida, Yuko, Kazushige Wakuda, Hirotsugu Kenmotsu, et al.. (2024). Efficacy of second-line chemotherapy in patients with pulmonary large cell neuroendocrine carcinoma. Scientific Reports. 14(1). 7641–7641. 1 indexed citations
2.
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Deguchi, Shoichi, Yasuto Akiyama, Koichi Mitsuya, et al.. (2024). Genetic and Immunological Characterization of Brain Metastases from Solid Cancers. Anticancer Research. 44(5). 1983–1994. 1 indexed citations
4.
Imamura, Taisuke, Ryo Ashida, Kenichi Urakami, et al.. (2024). Comprehensive sequencing of circulating tumour DNA in resectable pancreatic cancer. British journal of surgery. 111(3). 1 indexed citations
5.
Nakanuma, Yasuni, Yasunori Sato, Motoko Sasaki, et al.. (2024). A Pathological Assessment of the Microvasculature of Biliary Tract Neoplasms Referring to Pre-Existing Blood Vessels and Vessel Co-Option. Cancers. 16(22). 3869–3869. 2 indexed citations
6.
Uematsu, Takayoshi, Kazuaki Nakashima, Takashi Sugino, et al.. (2024). Non-contrast-enhanced breast MRI for evaluation of tumor volume change after neoadjuvant chemotherapy. European Journal of Radiology. 177. 111555–111555. 1 indexed citations
7.
Imai, Kenichiro, Kinichi Hotta, Sayo Ito, et al.. (2023). A novel low‐power pure‐cut hot snare polypectomy for 10–14 mm colorectal adenomas: An ex vivo and a clinical prospective feasibility study (SHARP trial). Journal of Gastroenterology and Hepatology. 39(4). 667–673. 3 indexed citations
8.
Terada, Yukihiro, Mitsuhiro Isaka, Takuya Kawata, et al.. (2022). The efficacy of a machine learning algorithm for assessing tumour components as a prognostic marker of surgically resected stage IA lung adenocarcinoma. Japanese Journal of Clinical Oncology. 53(2). 161–167. 2 indexed citations
9.
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Uchida, Shiro, Takaaki Kojima, & Takashi Sugino. (2021). Clinicopathological Features, Tumor Mutational Burden, and Tumour-Infiltrating Lymphocyte Interplay in ERBB2-Mutated Breast Cancer: In Silico Analysis. Pathology & Oncology Research. 27. 633243–633243. 6 indexed citations
11.
Goto, Keisuke, et al.. (2021). Comparison of Immunohistochemical Expression of Cytokeratin 19, c-KIT, BerEP4, GATA3, and NUTM1 Between Porocarcinoma and Squamous Cell Carcinoma. American Journal of Dermatopathology. 43(11). 781–787. 6 indexed citations
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Yoshida, Masao, et al.. (2020). Lymphovascular invasion in early gastric cancer: impact of ancillary D2‐40 and elastin staining on interobserver agreement. Histopathology. 76(6). 888–897. 7 indexed citations
14.
Iizuka, Akira, Tadashi Ashizawa, Ryota Kondou, et al.. (2019). A T-cell–engaging B7-H4/CD3-bispecific Fab-scFv Antibody Targets Human Breast Cancer. Clinical Cancer Research. 25(9). 2925–2934. 61 indexed citations
15.
Nakashima, Kazuaki, Takayoshi Uematsu, Takashi Sugino, et al.. (2018). T2-hypointense rim of breast mass lesions on magnetic resonance images: Radiologic-pathologic correlation. The Breast Journal. 24(6). 944–950. 2 indexed citations
16.
Kiyohara, Yoshio, Shusuke Yoshikawa, Masaki Otsuka, et al.. (2017). Melanoma patient response to nivolumab treatment for metastatic lung lesions: Multi‐OMICS analysis in Project HOPE. The Journal of Dermatology. 44(10). 1156–1159. 1 indexed citations
17.
Ashizawa, Tadashi, Akira Iizuka, Ryota Kondou, et al.. (2016). Antitumor Effect of Programmed Death-1 (PD-1) Blockade in Humanized the NOG-MHC Double Knockout Mouse. Clinical Cancer Research. 23(1). 149–158. 77 indexed citations
18.
Ishibashi, Kei, Takashi Sugino, Tomohiko Yanagida, et al.. (2010). Suppression of SOCS3 increases susceptibility of renal cell carcinoma to interferon‐α. Cancer Science. 102(1). 57–63. 36 indexed citations
19.
Sugiyama, Makoto, A Woodman, Takashi Sugino, et al.. (1995). Non-invasive detection of bladder cancer by identification of abnormal CD44 proteins in exfoliated cancer cells in urine. Molecular Pathology. 48(3). M142–M147. 30 indexed citations
20.
Sugino, Takashi. (1993). Production of chimeric mice by coculture of embryonic stem cells and zona-free embryos. Journal of Mammalian Ova Research. 10. 216–221. 2 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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