Hajime Ueda

487 total citations
19 papers, 286 citations indexed

About

Hajime Ueda is a scholar working on Epidemiology, Oncology and Surgery. According to data from OpenAlex, Hajime Ueda has authored 19 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in Oncology and 4 papers in Surgery. Recurrent topics in Hajime Ueda's work include Drug Transport and Resistance Mechanisms (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Microscopic Colitis (3 papers). Hajime Ueda is often cited by papers focused on Drug Transport and Resistance Mechanisms (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Microscopic Colitis (3 papers). Hajime Ueda collaborates with scholars based in Japan. Hajime Ueda's co-authors include Tadashi Ikegami, Akira Honda, Teruo Miyazaki, Takeshi Hirayama, Junichi Iwamoto, Yukio Morishita, Seiya Mizuno, Satoru Takahashi, Fumihiro Sugiyama and Kenji Mori and has published in prestigious journals such as PLoS ONE, Journal of Lipid Research and Tetrahedron.

In The Last Decade

Hajime Ueda

16 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hajime Ueda Japan 7 145 112 96 94 46 19 286
Jennifer Colangelo United States 9 126 0.9× 89 0.8× 142 1.5× 41 0.4× 34 0.7× 15 360
Chiara Fiorucci Italy 13 195 1.3× 151 1.3× 125 1.3× 106 1.1× 85 1.8× 16 395
Pan Cheng-en China 10 98 0.7× 61 0.5× 137 1.4× 98 1.0× 24 0.5× 18 368
Grace Yan United States 9 161 1.1× 55 0.5× 98 1.0× 67 0.7× 26 0.6× 10 316
Rosalinda Roselli Italy 12 169 1.2× 138 1.2× 105 1.1× 96 1.0× 75 1.6× 26 361
Prafulla Amin United States 7 181 1.2× 72 0.6× 72 0.8× 154 1.6× 23 0.5× 8 384
Yoshimi Inoue Japan 6 57 0.4× 62 0.6× 166 1.7× 30 0.3× 39 0.8× 14 314
Yitong Guo China 10 136 0.9× 187 1.7× 133 1.4× 52 0.6× 119 2.6× 19 427
E. L. MICHELOTTI United States 5 197 1.4× 71 0.6× 52 0.5× 104 1.1× 55 1.2× 7 329

Countries citing papers authored by Hajime Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Hajime Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hajime Ueda

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

All Works

19 of 19 papers shown
1.
Miwa, Takao, Hajime Ueda, Teruo Miyazaki, et al.. (2025). Altered Serum Bile Acid Pattern as an Independent Factor for Covert and Overt Hepatic Encephalopathy in Patients With Cirrhosis. Hepatology Research. 56(1). 60–69. 1 indexed citations
2.
Honda, Akira, Hajime Ueda, Teruo Miyazaki, & Tadashi Ikegami. (2025). Oxysterol-related disorders. Current Opinion in Endocrine and Metabolic Research. 40. 100583–100583.
3.
Ueda, Hajime, Akira Honda, Teruo Miyazaki, et al.. (2024). High-fat/high-sucrose diet results in a high rate of MASH with HCC in a mouse model of human-like bile acid composition. Hepatology Communications. 9(1). 2 indexed citations
4.
Miyazaki, Teruo, Hajime Ueda, Tadashi Ikegami, & Akira Honda. (2023). Upregulation of Taurine Biosynthesis and Bile Acid Conjugation with Taurine through FXR in a Mouse Model with Human-like Bile Acid Composition. Metabolites. 13(7). 824–824. 12 indexed citations
5.
Ueda, Hajime, Shogo Yoshida, T. Koyama, et al.. (2023). Bayesian Approach to T1 Analysis in NMR Spectroscopy with Applications to Solid State Physics. Journal of the Physical Society of Japan. 92(5). 1 indexed citations
6.
Ueda, Hajime, Akira Honda, Teruo Miyazaki, et al.. (2022). Sex-, age-, and organ-dependent improvement of bile acid hydrophobicity by ursodeoxycholic acid treatment: A study using a mouse model with human-like bile acid composition. PLoS ONE. 17(7). e0271308–e0271308. 14 indexed citations
7.
Iwamoto, Junichi, Hajime Ueda, Naoki Konishi, et al.. (2022). Evaluation of gut dysbiosis using serum and fecal bile acid profiles. World Journal of Clinical Cases. 10(34). 12484–12493. 4 indexed citations
8.
Iwamoto, Junichi, et al.. (2022). Evaluation of the Risk of Clostridium difficile Infection Using a Serum Bile Acid Profile. Metabolites. 12(4). 331–331. 2 indexed citations
9.
Iwamoto, Junichi, Akira Honda, Teruo Miyazaki, et al.. (2021). Western Diet Changes Gut Microbiota and Ameliorates Liver Injury in a Mouse Model with Human‐Like Bile Acid Composition. Hepatology Communications. 5(12). 2052–2067. 15 indexed citations
10.
Iwamoto, Junichi, Masashi Murakami, Hajime Ueda, et al.. (2020). Current states of prevention of drug-induced gastroduodenal ulcer in real clinical practice: a cross-sectional study. Journal of Clinical Biochemistry and Nutrition. 66(2). 158–162. 2 indexed citations
11.
Honda, Akira, Teruo Miyazaki, Junichi Iwamoto, et al.. (2019). Regulation of bile acid metabolism in mouse models with hydrophobic bile acid composition. Journal of Lipid Research. 61(1). 54–69. 149 indexed citations
12.
Murakami, Masashi, Junichi Iwamoto, Akira Honda, et al.. (2018). Detection of Gut Dysbiosis due to Reduced Clostridium Subcluster XIVa Using the Fecal or Serum Bile Acid Profile. Inflammatory Bowel Diseases. 24(5). 1035–1044. 46 indexed citations
13.
Konishi, Naoki, Junichi Iwamoto, Masashi Murakami, et al.. (2017). A rare case of primary T-cell lymphoma of the duodenum and the proximal jejunum. Progress of Digestive Endoscopy. 90(1). 104–105.
14.
Ishikawa, Hiroshi, et al.. (1990). Studies on antibacterial agents. II. Synthesis and antibacterial activities of substituted 1,2-dihydro-6-oxo-6H-pyrrolo(3,2,1-ij)quinoline-5-carboxylic acids.. Chemical and Pharmaceutical Bulletin. 38(9). 2459–2462. 11 indexed citations
15.
Ueda, Hajime, et al.. (1990). Studies on antibacterial agents. III. Synthesis and antibacterial activities of substituted 1,4-dihydro-8-methyl-4-oxoquinoline-3-carboxylic acids.. Chemical and Pharmaceutical Bulletin. 38(9). 2472–2475. 5 indexed citations
17.
Mori, Kazunori, Shigefumi Kuwahara, & Hajime Ueda. (1983). ChemInform Abstract: PHEROMONE SYNTHESIS. 55. SYNTHESIS OF ALL OF THE FOUR POSSIBLE STEREOISOMERS OF 4,8‐DIMETHYLDECANAL, THE AGGREGATION PHEROMONE OF THE FLOUR BEETLES. Chemischer Informationsdienst. 14(42). 2 indexed citations
18.
Mori, Kenji & Hajime Ueda. (1981). Synthesis of the optically active forms of 2,6-dimethyl-1, 5-heptadien-3-ol acetate, the pheromone of the comstock mealybug. Tetrahedron. 37(15). 2581–2583. 18 indexed citations
19.
Ueda, Hajime, et al.. (1969). [Diagnosis of lactase deficiency by exhaled air counting method using C14-lactose].. PubMed. 24(4). 725–8. 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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