Chie Kudo‐Saito

2.7k total citations · 1 hit paper
41 papers, 2.0k citations indexed

About

Chie Kudo‐Saito is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Chie Kudo‐Saito has authored 41 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 25 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Chie Kudo‐Saito's work include Immunotherapy and Immune Responses (21 papers), Cancer Immunotherapy and Biomarkers (14 papers) and Immune Cell Function and Interaction (14 papers). Chie Kudo‐Saito is often cited by papers focused on Immunotherapy and Immune Responses (21 papers), Cancer Immunotherapy and Biomarkers (14 papers) and Immune Cell Function and Interaction (14 papers). Chie Kudo‐Saito collaborates with scholars based in Japan, United States and United Kingdom. Chie Kudo‐Saito's co-authors include Yutaka Kawakami, Tadashi Takeuchi, Jeffrey Schlom, James W. Hodge, Yutaka Kawakami, Nobuo Tsukamoto, Tomonori Yaguchi, Charlie Garnett‐Benson, Mala Chakraborty and Hidetoshi Sumimoto and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and Cancer Cell.

In The Last Decade

Chie Kudo‐Saito

38 papers receiving 2.0k citations

Hit Papers

Cancer Metastasis Is Accelerated through Immunosuppressio... 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chie Kudo‐Saito Japan 22 1.2k 968 793 327 303 41 2.0k
Pauline Andreu France 7 1.3k 1.0× 1.3k 1.3× 857 1.1× 374 1.1× 182 0.6× 8 2.3k
Serena S. Kwek United States 20 1.5k 1.3× 1.2k 1.3× 701 0.9× 236 0.7× 323 1.1× 27 2.3k
Ines Gütgemann Germany 25 1.1k 0.9× 1.2k 1.2× 1.3k 1.6× 368 1.1× 332 1.1× 60 3.0k
Li-Chuan Chan Taiwan 17 1.2k 1.0× 779 0.8× 965 1.2× 406 1.2× 425 1.4× 27 2.1k
Xinhui Wang United States 21 917 0.8× 536 0.6× 828 1.0× 459 1.4× 251 0.8× 55 1.9k
Katelyn T. Byrne United States 19 1.5k 1.2× 1.5k 1.5× 506 0.6× 234 0.7× 169 0.6× 30 2.4k
Max D. Wellenstein Netherlands 9 1.3k 1.0× 1.3k 1.3× 691 0.9× 394 1.2× 307 1.0× 10 2.3k
Michel DuPage United States 13 1.4k 1.1× 1.7k 1.8× 1.2k 1.6× 457 1.4× 345 1.1× 20 3.2k
Dario Sangiolo Italy 25 1.4k 1.1× 1.1k 1.1× 549 0.7× 200 0.6× 442 1.5× 76 2.2k
Hiroko Asanuma Japan 32 1.4k 1.1× 782 0.8× 1.2k 1.6× 406 1.2× 520 1.7× 63 2.6k

Countries citing papers authored by Chie Kudo‐Saito

Since Specialization
Citations

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

Fields of papers citing papers by Chie Kudo‐Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chie Kudo‐Saito. 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 Chie Kudo‐Saito. The network helps show where Chie Kudo‐Saito may publish in the future.

Co-authorship network of co-authors of Chie Kudo‐Saito

This figure shows the co-authorship network connecting the top 25 collaborators of Chie Kudo‐Saito. A scholar is included among the top collaborators of Chie Kudo‐Saito 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 Chie Kudo‐Saito. Chie Kudo‐Saito 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
2.
Kudo‐Saito, Chie, Hiroshi Imazeki, Hiroki Ozawa, et al.. (2024). Targeting SNCA in the treatment of malignant ascites in gastrointestinal cancer. Translational Oncology. 48. 102075–102075.
3.
Shoji, Hirokazu, Chie Kudo‐Saito, Kengo Nagashima, et al.. (2024). Myeloid subsets impede the efficacy of anti-PD1 therapy in patients with advanced gastric cancer (WJOG10417GTR study). Journal for ImmunoTherapy of Cancer. 12(11). e010174–e010174. 2 indexed citations
4.
Kudo‐Saito, Chie. (2024). Prognostic significance of the FSTL1-DIP2A axis in early-stage tongue cancer. American Journal of Cancer Research. 14(8). 3816–3825.
5.
Boku, Narikazu, Chie Kudo‐Saito, Hirokazu Shoji, et al.. (2023). LAG3-related factors to predict response to nivolumab monotherapy in advanced gastric cancer (WJOG10417GTR study).. Journal of Clinical Oncology. 41(4_suppl). 425–425. 2 indexed citations
6.
Ozawa, Hiroki, Hiroshi Imazeki, Hirofumi Kawakubo, et al.. (2021). Targeting AURKA in treatment of peritoneal tumor dissemination in gastrointestinal cancer. Translational Oncology. 16. 101307–101307. 6 indexed citations
7.
Kudo‐Saito, Chie, Takahiro Miyamoto, Hiroshi Imazeki, et al.. (2020). IL33 Is a Key Driver of Treatment Resistance of Cancer. Cancer Research. 80(10). 1981–1990. 30 indexed citations
8.
Kinoshita, Tomonari, Chie Kudo‐Saito, Reiko Muramatsu, et al.. (2017). Determination of poor prognostic immune features of tumour microenvironment in non-smoking patients with lung adenocarcinoma. European Journal of Cancer. 86. 15–27. 60 indexed citations
9.
Mukai, Shin, Yoko Ogawa, Fumihiko Urano, et al.. (2017). Novel Treatment of Chronic Graft-Versus-Host Disease in Mice Using the ER Stress Reducer 4-Phenylbutyric Acid. Scientific Reports. 7(1). 41939–41939. 26 indexed citations
10.
Kinoshita, Tomonari, Reiko Muramatsu, T. Fujita, et al.. (2016). Prognostic value of tumor-infiltrating lymphocytes differs depending on histological type and smoking habit in completely resected non-small-cell lung cancer. Annals of Oncology. 27(11). 2117–2123. 127 indexed citations
11.
Kudo‐Saito, Chie. (2015). Cancer-associated mesenchymal stem cells aggravate tumor progression. Frontiers in Cell and Developmental Biology. 3. 23–23. 28 indexed citations
12.
Kudo‐Saito, Chie, et al.. (2014). Induction of Immunoregulatory CD271+ Cells by Metastatic Tumor Cells That Express Human Endogenous Retrovirus H. Cancer Research. 74(5). 1361–1370. 43 indexed citations
13.
Kudo‐Saito, Chie, et al.. (2013). Targeting FSTL1 Prevents Tumor Bone Metastasis and Consequent Immune Dysfunction. Cancer Research. 73(20). 6185–6193. 61 indexed citations
14.
Kudo‐Saito, Chie. (2013). FSTL1 promotes bone metastasis by causing immune dysfunction. OncoImmunology. 2(11). e26528–e26528. 21 indexed citations
15.
Kudo‐Saito, Chie, et al.. (2009). Cancer Metastasis Is Accelerated through Immunosuppression during Snail-Induced EMT of Cancer Cells. Cancer Cell. 15(3). 195–206. 682 indexed citations breakdown →
16.
Mochimaru, Hiroshi, Nao Nagai, Go Hasegawa, et al.. (2007). Immunization of Mice With Dendritic Cells Primed With Epitope Peptide Derived From Vegf Receptor 2 Supresses Choroidal Neovascularization. Investigative Ophthalmology & Visual Science. 48(13). 1440–1440.
17.
Kudo‐Saito, Chie, Charlie Garnett‐Benson, Elizabeth K. Wansley, Jeffrey Schlom, & James W. Hodge. (2007). Intratumoral delivery of vector mediated IL-2 in combination with vaccine results in enhanced T cell avidity and anti-tumor activity. Cancer Immunology Immunotherapy. 56(12). 1897–1910. 11 indexed citations
18.
Hodge, James W., Mala Chakraborty, Chie Kudo‐Saito, Charlie Garnett‐Benson, & Jeffrey Schlom. (2005). Multiple costimulatory modalities enhance CTL avidity. The Journal of Immunology. 174(12). 8220–8220. 4 indexed citations
19.
Garnett‐Benson, Charlie, John W. Greiner, Chie Kudo‐Saito, et al.. (2005). TRICOM Vector Based Cancer Vaccines. Current Pharmaceutical Design. 12(3). 351–361. 32 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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