Kosuke Kawaguchi

1.5k total citations
44 papers, 680 citations indexed

About

Kosuke Kawaguchi is a scholar working on Oncology, Immunology and Cancer Research. According to data from OpenAlex, Kosuke Kawaguchi has authored 44 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 13 papers in Immunology and 13 papers in Cancer Research. Recurrent topics in Kosuke Kawaguchi's work include Cancer Immunotherapy and Biomarkers (12 papers), Immune cells in cancer (8 papers) and Cancer Cells and Metastasis (7 papers). Kosuke Kawaguchi is often cited by papers focused on Cancer Immunotherapy and Biomarkers (12 papers), Immune cells in cancer (8 papers) and Cancer Cells and Metastasis (7 papers). Kosuke Kawaguchi collaborates with scholars based in Japan, United States and Italy. Kosuke Kawaguchi's co-authors include Masakazu Toi, Eiji Suzuki, William W. Ho, Dai Fukumura, Rakesh K. Jain, Masahiro Kawashima, Haruki Okamura, Yoshimi Kawade, Masahiro Sugimoto and Sunao Tanaka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Kosuke Kawaguchi

40 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kosuke Kawaguchi Japan 15 296 253 235 157 66 44 680
Haiting Mao China 17 274 0.9× 368 1.5× 290 1.2× 162 1.0× 71 1.1× 37 827
Kumar S. Bishnupuri United States 11 307 1.0× 198 0.8× 380 1.6× 108 0.7× 66 1.0× 19 883
Zhimin Liu China 15 241 0.8× 100 0.4× 357 1.5× 213 1.4× 68 1.0× 32 741
Neele Schumacher Germany 14 253 0.9× 259 1.0× 193 0.8× 66 0.4× 40 0.6× 17 607
Herwig P. Moll Austria 14 200 0.7× 180 0.7× 323 1.4× 129 0.8× 97 1.5× 32 633
Carole Ferraro‐Peyret France 13 113 0.4× 118 0.5× 300 1.3× 86 0.5× 59 0.9× 28 673
Carmen Conde Spain 18 312 1.1× 275 1.1× 431 1.8× 101 0.6× 38 0.6× 54 899
Qianfei Zhang United States 11 317 1.1× 324 1.3× 200 0.9× 115 0.7× 73 1.1× 15 725
Haiyan Xu China 12 295 1.0× 193 0.8× 397 1.7× 200 1.3× 65 1.0× 33 728
Isabel Soto‐Cruz Mexico 15 208 0.7× 203 0.8× 205 0.9× 126 0.8× 41 0.6× 31 574

Countries citing papers authored by Kosuke Kawaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Kosuke Kawaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kosuke Kawaguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Kosuke Kawaguchi. A scholar is included among the top collaborators of Kosuke Kawaguchi 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 Kosuke Kawaguchi. Kosuke Kawaguchi 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.
Ishida, Takayuki, et al.. (2025). MCTP2 is a novel biomarker promoting tumor progression and nodal metastasis in oral squamous cell carcinoma. Scientific Reports. 15(1). 18456–18456. 1 indexed citations
3.
Nguyen, Phuong Thao, Takayuki Ishida, Kosuke Kawaguchi, et al.. (2024). Role of early growth response-1 as a tumor suppressor in oral squamous cell carcinoma. Discover Oncology. 15(1). 714–714. 2 indexed citations
4.
Yamanoi, Koji, Eijiro Nakamura, Shinji Ito, et al.. (2024). A stearate-rich diet and oleate restriction directly inhibit tumor growth via the unfolded protein response. Experimental & Molecular Medicine. 56(12). 2659–2672. 5 indexed citations
5.
Kawashima, Masahiro, Hajime Yoshifuji, Ran Nakashima, et al.. (2024). Remarkable remission of symptomatic dermatomyositis after curative breast cancer surgery. International Cancer Conference Journal. 13(2). 111–118. 2 indexed citations
6.
He, Chenfeng, et al.. (2023). Serum amyloid alpha 1-2 are not required for liver inflammation in the 4T1 murine breast cancer model. Frontiers in Immunology. 14. 1097788–1097788. 1 indexed citations
7.
Kawashima, Masahiro, Masahiro Sugimoto, Kazuhiro Sonomura, et al.. (2023). Discovery of lipid profiles in plasma‐derived extracellular vesicles as biomarkers for breast cancer diagnosis. Cancer Science. 114(10). 4020–4031. 16 indexed citations
8.
Kawaguchi, Kosuke, et al.. (2023). Cellular senescence triggers intracellular acidification and lysosomal pH alkalinized via ATP6AP2 attenuation in breast cancer cells. Communications Biology. 6(1). 1147–1147. 18 indexed citations
9.
Honda, Maya, Hiroshi Ishiguro, Masako Kataoka, et al.. (2021). Kinetic information from dynamic contrast-enhanced MRI enables prediction of residual cancer burden and prognosis in triple-negative breast cancer: a retrospective study. Scientific Reports. 11(1). 10112–10112. 5 indexed citations
10.
Nakamura, Yuki, Masahiro Takada, Michiko Imamura, et al.. (2021). Usefulness and Prospects of Sentinel Lymph Node Biopsy for Patients With Breast Cancer Using the Medical Imaging Projection System. Frontiers in Oncology. 11. 674419–674419. 8 indexed citations
11.
He, Chenfeng, Kosuke Kawaguchi, & Masakazu Toi. (2020). DNA damage repair functions and targeted treatment in breast cancer. Breast Cancer. 27(3). 355–362. 15 indexed citations
12.
Honda, Maya, Masako Kataoka, Kosuke Kawaguchi, et al.. (2020). Subcategory classifications of Breast Imaging and Data System (BI-RADS) category 4 lesions on MRI. Japanese Journal of Radiology. 39(1). 56–65. 15 indexed citations
13.
Suzuki, Eiji, Masahiro Sugimoto, Kosuke Kawaguchi, et al.. (2018). Gene expression profile of peripheral blood mononuclear cells may contribute to the identification and immunological classification of breast cancer patients. Breast Cancer. 26(3). 282–289. 17 indexed citations
14.
Kawashima, Masahiro, Kosuke Kawaguchi, Megumi Takeuchi, et al.. (2018). Granulocyte-colony-stimulating factor-producing metaplastic carcinoma of the breast with significant elevation of serum interleukin-17 and vascular endothelial growth factor levels. International Cancer Conference Journal. 7(3). 107–113. 15 indexed citations
15.
Kawaguchi, Kosuke, Eiji Suzuki, Isao Kii, et al.. (2017). Downregulation of neuropilin-1 on macrophages modulates antibody-mediated tumoricidal activity. Cancer Immunology Immunotherapy. 66(9). 1131–1142. 6 indexed citations
16.
Kawaguchi, Kosuke, et al.. (2016). Altered expression of major immune regulatory molecules in peripheral blood immune cells associated with breast cancer. Breast Cancer. 24(1). 111–120. 20 indexed citations
19.
Kawaguchi, Kosuke, Hiroshi Ishiguro, Ikuko Yano, Hiroyasu Yamashiro, & Masakazu Toi. (2013). Therapeutic Drug Monitoring of Docetaxel for a Living Donor Liver Transplantation Recipient. Annals of Oncology. 24. ix94–ix94.
20.
Magrone, Thea, et al.. (2012). Fermented Grape Marc (FGM): Immunomodulating Properties and its Potential Exploitation in the Treatment of Neurodegenerative Diseases. Current Pharmaceutical Design. 18(1). 43–50. 24 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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