Eiji Sugihara

3.6k total citations
67 papers, 2.3k citations indexed

About

Eiji Sugihara is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Eiji Sugihara has authored 67 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 28 papers in Oncology and 16 papers in Cancer Research. Recurrent topics in Eiji Sugihara's work include Cancer Cells and Metastasis (11 papers), Cancer-related Molecular Pathways (10 papers) and Microtubule and mitosis dynamics (5 papers). Eiji Sugihara is often cited by papers focused on Cancer Cells and Metastasis (11 papers), Cancer-related Molecular Pathways (10 papers) and Microtubule and mitosis dynamics (5 papers). Eiji Sugihara collaborates with scholars based in Japan, United States and Germany. Eiji Sugihara's co-authors include Hideyuki Saya, Nobuyuki Onishi, Takatsune Shimizu, Osamu Nagano, Masanao Miwa, Masayuki Amagai, Takatsugu Ishimoto, Hiroyuki Nobusue, Toshifumi Yae and Stefania Pittaluga and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Nature Communications.

In The Last Decade

Eiji Sugihara

63 papers receiving 2.2k citations

Peers

Eiji Sugihara

ONCOL

IMMUN

Steven Goossens Belgium

Maurizio Mongiat Italy

Dany Nassar France

Enrica Martinelli Italy

Minji Jo United States

Lars H. Engelholm Denmark

Isabelle Bourget France

Phil F. Cheng Switzerland

Charles E. de Bock Australia

Sebastian Hoersch United States

Steven Goossens Belgium

Eiji Sugihara

1.9k ×1.6

805 ×1.0

ONCOL

649 ×1.2

409 ×1.0

IMMUN

356 ×1.2

Citations per year, relative to Eiji Sugihara Eiji Sugihara (= 1×) peers Steven Goossens

Countries citing papers authored by Eiji Sugihara

Since Specialization

Citations

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

Fields of papers citing papers by Eiji Sugihara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiji Sugihara

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

All Works

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20 of 20 papers shown

Saito, Jun, Nobuyuki Onishi, Juntaro Yamasaki, et al.. (2025). Benzaldehyde suppresses epithelial-mesenchymal plasticity and overcomes treatment resistance in cancer by targeting the interaction of 14-3-3ζ with H3S28ph. British Journal of Cancer. 133(1). 27–39. 4 indexed citations

Fujisawa, Yasuhiro, Kenjiro Namikawa, Koji Yoshino, et al.. (2025). Phase II trial dedicated to non-selected, pretreated cutaneous angiosarcoma: Efficacy of nivolumab (AngioCheck Study). European Journal of Cancer. 224. 115537–115537. 1 indexed citations

Matsuoka, Hiroshi, Eiji Sugihara, Makoto Sumitomo, et al.. (2025). Mutation Analysis of TMB‐High Colorectal Cancer: Insights Into Molecular Pathways and Clinical Implications. Cancer Science. 116(4). 1082–1093.

Inagaki, Hidehito, Tatsuya Nakano, Yoshiharu Nakaoka, et al.. (2024). Comparative Analysis of Two NGS-Based Platforms for Product-of-Conception Karyotyping. Genes. 15(8). 1100–1100. 1 indexed citations

Yamada, Manabu, Mitsuyo Kohara, Hideki Hirakawa, et al.. (2023). Plant GARDEN: a portal website for cross-searching between different types of genomic and genetic resources in a wide variety of plant species. BMC Plant Biology. 23(1). 391–391. 9 indexed citations

Shichino, Shigeyuki, Satoshi Ueha, Shinichi Hashimoto, et al.. (2022). TAS-Seq is a robust and sensitive amplification method for bead-based scRNA-seq. Communications Biology. 5(1). 602–602. 27 indexed citations

Shimizu, Takatsune, Eiji Sugihara, Hideyuki Takeshima, et al.. (2022). Depletion of R270C Mutant p53 in Osteosarcoma Attenuates Cell Growth but Does Not Prevent Invasion and Metastasis In Vivo. Cells. 11(22). 3614–3614. 3 indexed citations

Mariya, Tasuku, Takema Kato, Hidehito Inagaki, et al.. (2022). Target enrichment long-read sequencing with adaptive sampling can determine the structure of the small supernumerary marker chromosomes. Journal of Human Genetics. 67(6). 363–368. 9 indexed citations

Shimizu, Takatsune, Kiyomi Kimura, Eiji Sugihara, et al.. (2021). MEK inhibition preferentially suppresses anchorage‐independent growth in osteosarcoma cells and decreases tumors in vivo. Journal of Orthopaedic Research®. 39(12). 2732–2743. 5 indexed citations

10.

Sugihara, Eiji, Satoru Osuka, Takatsune Shimizu, et al.. (2020). The Inhibitor of Apoptosis Protein Livin Confers Resistance to Fas-Mediated Immune Cytotoxicity in Refractory Lymphoma. Cancer Research. 80(20). 4439–4450. 10 indexed citations

11.

Takahashi, Nobuhiro, Hiroyuki Nobusue, Takatsune Shimizu, et al.. (2019). ROCK Inhibition Induces Terminal Adipocyte Differentiation and Suppresses Tumorigenesis in Chemoresistant Osteosarcoma Cells. Cancer Research. 79(12). 3088–3099. 39 indexed citations

12.

Saito, Yoshiyuki, Nobuyuki Onishi, Hiroshi Takami, et al.. (2018). Development of a functional thyroid model based on an organoid culture system. Biochemical and Biophysical Research Communications. 497(2). 783–789. 49 indexed citations

13.

Sugihara, Eiji, Hiroyuki Nobusue, Nobuyuki Onishi, et al.. (2016). Simvastatin-Induced Apoptosis in Osteosarcoma Cells: A Key Role of RhoA-AMPK/p38 MAPK Signaling in Antitumor Activity. Molecular Cancer Therapeutics. 16(1). 182–192. 78 indexed citations

14.

Fukaya, Raita, Shigeki Ohta, Tomonori Yaguchi, et al.. (2016). MIF Maintains the Tumorigenic Capacity of Brain Tumor–Initiating Cells by Directly Inhibiting p53. Cancer Research. 76(9). 2813–2823. 56 indexed citations

15.

Shimizu, Takatsune, Eiji Sugihara, Sakura Tamaki, et al.. (2014). IGF2 Preserves Osteosarcoma Cell Survival by Creating an Autophagic State of Dormancy That Protects Cells against Chemotherapeutic Stress. Cancer Research. 74(22). 6531–6541. 70 indexed citations

16.

Yoshikawa, Momoko, Kenji Tsuchihashi, Takatsugu Ishimoto, et al.. (2013). xCT Inhibition Depletes CD44v-Expressing Tumor Cells That Are Resistant to EGFR-Targeted Therapy in Head and Neck Squamous Cell Carcinoma. Cancer Research. 73(6). 1855–1866. 168 indexed citations

17.

Tamada, Mayumi, Osamu Nagano, Seiji Tateyama, et al.. (2012). Modulation of Glucose Metabolism by CD44 Contributes to Antioxidant Status and Drug Resistance in Cancer Cells. Cancer Research. 72(6). 1438–1448. 213 indexed citations

18.

Shimizu, Takatsune, T. Ishikawa, Arisa Ueki, et al.. (2012). Fibroblast Growth Factor-2 Is an Important Factor that Maintains Cellular Immaturity and Contributes to Aggressiveness of Osteosarcoma. Molecular Cancer Research. 10(3). 454–468. 30 indexed citations

19.

Kobayashi, Yusuke, Takatsune Shimizu, Hideaki Naoe, et al.. (2011). Establishment of a Choriocarcinoma Model from Immortalized Normal Extravillous Trophoblast Cells Transduced with HRASV12. American Journal Of Pathology. 179(3). 1471–1482. 15 indexed citations

20.

Kai, Kazuharu, Osamu Nagano, Eiji Sugihara, et al.. (2009). Maintenance of HCT116 colon cancer cell line conforms to a stochastic model but not a cancer stem cell model. Cancer Science. 100(12). 2275–2282. 45 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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