Daisuke Ujiie

413 total citations
18 papers, 318 citations indexed

About

Daisuke Ujiie is a scholar working on Oncology, Immunology and Surgery. According to data from OpenAlex, Daisuke Ujiie has authored 18 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 7 papers in Immunology and 6 papers in Surgery. Recurrent topics in Daisuke Ujiie's work include Genetic factors in colorectal cancer (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Colorectal Cancer Treatments and Studies (3 papers). Daisuke Ujiie is often cited by papers focused on Genetic factors in colorectal cancer (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Colorectal Cancer Treatments and Studies (3 papers). Daisuke Ujiie collaborates with scholars based in Japan. Daisuke Ujiie's co-authors include Koji Kono, Shinji Ohki, Tomoyuki Momma, Aung Kyi Thar Min, Shotaro Fujita, Mai Ashizawa, Hirokazu Okayama, Zenichiro Saze, Hisahito Endo and Wataru Sakamoto and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Carcinogenesis.

In The Last Decade

Daisuke Ujiie

17 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisuke Ujiie Japan 9 172 129 83 75 63 18 318
Zhonglin Liang China 9 158 0.9× 143 1.1× 55 0.7× 43 0.6× 83 1.3× 15 309
Aung Kyi Thar Min Japan 11 226 1.3× 193 1.5× 135 1.6× 104 1.4× 74 1.2× 16 417
Xuren Sun China 12 117 0.7× 173 1.3× 61 0.7× 128 1.7× 37 0.6× 25 339
Changjiang Qin China 10 114 0.7× 152 1.2× 25 0.3× 35 0.5× 57 0.9× 20 273
Astrid De Meulenaere Belgium 10 261 1.5× 49 0.4× 107 1.3× 40 0.5× 65 1.0× 16 329
Marco Basiricò Italy 8 117 0.7× 89 0.7× 50 0.6× 33 0.4× 30 0.5× 16 239
Xin‐Gan Qin China 11 96 0.6× 139 1.1× 19 0.2× 69 0.9× 84 1.3× 25 316
Augusto Bleve Italy 6 99 0.6× 103 0.8× 130 1.6× 75 1.0× 22 0.3× 8 274
Sara Fancelli Italy 9 197 1.1× 103 0.8× 34 0.4× 58 0.8× 26 0.4× 25 302
Chenhe Yi China 8 157 0.9× 119 0.9× 75 0.9× 81 1.1× 90 1.4× 16 354

Countries citing papers authored by Daisuke Ujiie

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Ujiie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Ujiie

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

All Works

18 of 18 papers shown
1.
Ujiie, Daisuke, Takuro Matsumoto, Hirokazu Okayama, et al.. (2021). Circulating tumor cells after neoadjuvant chemotherapy are related with recurrence in esophageal squamous cell carcinoma. Esophagus. 18(3). 566–573. 9 indexed citations
2.
Okayama, Hirokazu, Katsuharu Saito, Shotaro Nakajima, et al.. (2020). A TGFβ-Dependent Stromal Subset Underlies Immune Checkpoint Inhibitor Efficacy in DNA Mismatch Repair–Deficient/Microsatellite Instability-High Colorectal Cancer. Molecular Cancer Research. 18(9). 1402–1413. 27 indexed citations
3.
Yamada, Leo, Motonobu Saito, Aung Kyi Thar Min, et al.. (2020). Tuberculous peritonitis; The effectiveness of diagnostic laparoscopy and the perioperative infectious prevention. International Journal of Surgery Case Reports. 72(C). 326–329. 5 indexed citations
4.
Ashizawa, Mai, Hirokazu Okayama, Teruhide Ishigame, et al.. (2019). miRNA-148a-3p Regulates Immunosuppression in DNA Mismatch Repair–Deficient Colorectal Cancer by Targeting PD-L1. Molecular Cancer Research. 17(6). 1403–1413. 92 indexed citations
5.
Momma, Tomoyuki, Kenji Gonda, Daisuke Ujiie, et al.. (2019). MLH1 germline mutation associated with Lynch syndrome in a family followed for more than 45 years. BMC Medical Genetics. 20(1). 67–67. 9 indexed citations
6.
Fujita, Shotaro, Tomoyuki Momma, Daisuke Ujiie, et al.. (2019). [A Case of Rectovaginal Fistula after Rectal Cancer Surgery Cured with Estriol Vaginal Tablet and Vaginal Lavage].. PubMed. 46(13). 2078–2080. 2 indexed citations
7.
Hayase, Suguru, Leo Yamada, Daisuke Ujiie, et al.. (2019). Clinical usefulness of ramucirumab plus paclitaxel for unresectable and recurrent gastric cancer. FUKUSHIMA JOURNAL OF MEDICAL SCIENCE. 65(1). 6–12. 2 indexed citations
8.
Shibata, Masahiko, Daisuke Ujiie, Mai Ashizawa, et al.. (2019). Correlation of inflammation-related markers with MDSC and IL-17, and use as prognostic indicators in patients with advanced gastric and colorectal cancers.. Journal of Clinical Oncology. 37(15_suppl). e14204–e14204. 2 indexed citations
9.
Ujiie, Daisuke, Hirokazu Okayama, Katsuharu Saito, et al.. (2019). KRT17 as a prognostic biomarker for stage II colorectal cancer. Carcinogenesis. 41(5). 591–599. 24 indexed citations
10.
Ashizawa, Mai, Motonobu Saito, Aung Kyi Thar Min, et al.. (2019). Prognostic role of ARID1A negative expression in gastric cancer. Scientific Reports. 9(1). 37 indexed citations
11.
Mimura, Kosaku, Leo Yamada, Daisuke Ujiie, et al.. (2018). Immunotherapy for esophageal squamous cell carcinoma: a review. FUKUSHIMA JOURNAL OF MEDICAL SCIENCE. 64(2). 46–53. 36 indexed citations
12.
Gonda, Kenji, Masahiko Shibata, Daisuke Ujiie, et al.. (2018). Correlation of IL-17 with immune suppression involving MDSC, malnutrition, and prognosis in patients with gastric and colorectal cancer.. Journal of Clinical Oncology. 36(5_suppl). 83–83. 3 indexed citations
13.
Ujiie, Daisuke, Shinji Ohki, Hirokazu Okayama, et al.. (2018). PS02.071: EVALUATION OF CIRCULATING TUMOR CELLS IN ESOPHAGEAL CANCER PATIENTS. Diseases of the Esophagus. 31(Supplement_1). 140–140. 1 indexed citations
14.
Shibata, Masahiko, Daisuke Ujiie, Mai Ashizawa, et al.. (2018). Correlation of VEGF with immune suppression involving MDSC, malnutrition, and prognosis in patients with gastric and colorectal cancer.. Journal of Clinical Oncology. 36(4_suppl). 582–582. 1 indexed citations
15.
Kono, Koji, Kousaku Mimura, Daisuke Ujiie, et al.. (2017). Current status of cancer immunotherapy for esophageal squamous cell carcinoma. Esophagus. 15(1). 1–9. 21 indexed citations
16.
Shibata, Masahiko, Kenji Gonda, Daisuke Ujiie, et al.. (2017). IL-17 and VEGF are significantly associated with disease progression involving systemic inflammation in patients with gastric and colorectal cancers. Annals of Cancer Research and Therapy. 25(2). 67–76. 4 indexed citations
17.
Ujiie, Daisuke, et al.. (2016). [Primary Malignant Melanoma of the Gallbladder].. PubMed. 43(12). 1603–1604.
18.
Suzuki, Shinichi, Masahiko Shibata, Kenji Gonda, et al.. (2013). Immunosuppression involving increased myeloid-derived suppressor cell levels, systemic inflammation and hypoalbuminemia are present in patients with anaplastic thyroid cancer. Molecular and Clinical Oncology. 1(6). 959–964. 43 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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