Hiroki Ueda

1.3k total citations
58 papers, 916 citations indexed

About

Hiroki Ueda is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Hiroki Ueda has authored 58 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Oncology, 16 papers in Pulmonary and Respiratory Medicine and 14 papers in Epidemiology. Recurrent topics in Hiroki Ueda's work include Pancreatic and Hepatic Oncology Research (15 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Lung Cancer Research Studies (9 papers). Hiroki Ueda is often cited by papers focused on Pancreatic and Hepatic Oncology Research (15 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Lung Cancer Research Studies (9 papers). Hiroki Ueda collaborates with scholars based in Japan. Hiroki Ueda's co-authors include Keiichiro Akamatsu, Nobuyuki Yamamoto, Hiroaki Akamatsu, Atsushi Hayata, Yasuhiro Koh, Masanori Nakanishi, Nahomi Tokudome, Koichi Sato, Kuninobu Kanai and Eriko Murakami and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Hiroki Ueda

50 papers receiving 904 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroki Ueda Japan 16 653 307 125 116 112 58 916
Preston D. Steen United States 18 579 0.9× 329 1.1× 75 0.6× 259 2.2× 120 1.1× 47 1.0k
L.L. Siu Canada 10 833 1.3× 290 0.9× 95 0.8× 248 2.1× 247 2.2× 30 1.1k
Yu Jin Kim South Korea 18 298 0.5× 328 1.1× 214 1.7× 326 2.8× 73 0.7× 39 974
Carmen Nuzzo Italy 14 481 0.7× 312 1.0× 70 0.6× 403 3.5× 124 1.1× 31 1.0k
Steven Sorscher United States 15 458 0.7× 224 0.7× 84 0.7× 139 1.2× 225 2.0× 68 740
Eun Sook Nam South Korea 19 272 0.4× 130 0.4× 125 1.0× 208 1.8× 241 2.2× 65 774
Satoshi Okazaki Japan 17 391 0.6× 153 0.5× 36 0.3× 169 1.5× 118 1.1× 86 725
Cheng‐Lung Hsu Taiwan 18 364 0.6× 209 0.7× 54 0.4× 187 1.6× 178 1.6× 46 881
Yoshimi Bando Japan 16 241 0.4× 259 0.8× 64 0.5× 189 1.6× 209 1.9× 76 738
Zhixiang Jian China 17 335 0.5× 211 0.7× 143 1.1× 206 1.8× 231 2.1× 38 781

Countries citing papers authored by Hiroki Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroki Ueda

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Ueda. A scholar is included among the top collaborators of Hiroki Ueda 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 Hiroki Ueda. Hiroki Ueda 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.
Ono, Hiroaki, Yoshiya Ishikawa, Shuichi Watanabe, et al.. (2025). Evaluation of therapeutic agent selection based on comprehensive genomic profiling in gastroenteropancreatic neuroendocrine neoplasms. PLoS ONE. 20(8). e0325727–e0325727.
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Ueda, Hiroki, Hidenori Takahashi, Ryoto Sakaniwa, et al.. (2024). Preoperative treatment response prediction for pancreatic cancer by multiple microRNAs in plasma exosomes: Optimization using machine learning and network analysis. Pancreatology. 24(7). 1097–1106. 4 indexed citations
5.
Ono, Hiroaki, Yoshiya Ishikawa, Shuichi Watanabe, et al.. (2023). RRM1 is mediated by histone acetylation through gemcitabine resistance and contributes to invasiveness and ECM remodeling in pancreatic cancer. International Journal of Oncology. 62(4). 11 indexed citations
6.
Ueda, Hiroki, Masaaki Higashiyama, Hiroyuki Tahara, et al.. (2023). Fulminant necrotizing fasciitis by Edwardsiella tarda in a patient with alcoholic liver cirrhosis: A case report. Journal of Infection and Chemotherapy. 30(4). 343–347. 2 indexed citations
7.
Ishikawa, Yoshiya, Shuichi Watanabe, Hiroki Ueda, et al.. (2023). Surgical anatomy of the dorsal pancreatic artery: Considering embryonic development. Pancreatology. 23(6). 697–703. 3 indexed citations
8.
Ono, Hiroaki, Atsushi Kudo, Yuko Kinowaki, et al.. (2023). MGMT is frequently inactivated in pancreatic NET-G2 and is associated with the therapeutic activity of STZ-based regimens. Scientific Reports. 13(1). 7535–7535. 5 indexed citations
9.
Oyanagi, Jun, Yasuhiro Koh, Koichi Sato, et al.. (2021). Bloodborne Cytokines for Predicting Clinical Benefits and Immune-Related Adverse Events in Advanced Non-Small Cell Lung Cancer Treated With Anti-Programmed Cell Death 1 Inhibitors. Clinical Lung Cancer. 22(6). e833–e841. 4 indexed citations
10.
Ichikawa, Tamaki, et al.. (2020). A case of intrahepatic splenosis: usefulness of splenic scintigraphy. Abdominal Radiology. 45(7). 2274–2278. 3 indexed citations
11.
Oyanagi, Jun, Yasuhiro Koh, Koichi Sato, et al.. (2019). Predictive value of serum protein levels in patients with advanced non-small cell lung cancer treated with nivolumab. Lung Cancer. 132. 107–113. 47 indexed citations
12.
Koh, Yasuhiro, Hiroaki Akamatsu, Kuninobu Kanai, et al.. (2017). Development of an automated size-based filtration system for isolation of circulating tumor cells in lung cancer patients. PLoS ONE. 12(6). e0179744–e0179744. 36 indexed citations
13.
Sato, Koichi, Hiroaki Akamatsu, Eriko Murakami, et al.. (2017). Correlation between immune-related adverse events and efficacy in non-small cell lung cancer treated with nivolumab. Annals of Oncology. 28. ix86–ix86. 41 indexed citations
14.
Ueda, Hiroki, et al.. (2016). Correlation between blood magnesium and calcium concentration in patients treated with an anti-EGFR antibody. Journal of Pharmaceutical Health Care and Sciences. 2(1). 23–23. 4 indexed citations
15.
Ueda, Hiroki, et al.. (2011). Toxicity and efficacy of hepatic arterial infusion chemotherapy for advanced hepatocellular carcinoma (Review). Oncology Letters. 3(2). 259–263. 22 indexed citations
16.
Akamatsu, Keiichiro, et al.. (2008). Poor Sensitivity of Symptoms in Early Detection of COPD. COPD Journal of Chronic Obstructive Pulmonary Disease. 5(5). 269–273. 23 indexed citations
17.
Tanaka, Hiroto, et al.. (2007). Reduction of regional cerebral blood flow of patients with liver cirrhosis and its correlation with serum albumin. 14(1). 35–39. 1 indexed citations
18.
Ueda, Hiroki, et al.. (2007). Estimation of protein intake using urinary urea nitrogen in patients with early-stage liver cirrhosis. Hepatology International. 1(3). 382–386. 12 indexed citations
19.
Tanaka, Hirofumi, et al.. (2006). Neuropsychological impairment and decreased regional cerebral blood flow by interferon treatment in patients with chronic hepatitis: a preliminary study. Clinical and Experimental Medicine. 6(3). 124–128. 13 indexed citations
20.
Sahara, Hiroyuki, et al.. (2005). The estimation of protein intake by urinary urea nitrogen in patients with liver cirrhosis. Kanzo. 46(5). 294–294. 1 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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