Daisuke Uchida

2.6k total citations
127 papers, 1.9k citations indexed

About

Daisuke Uchida is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Daisuke Uchida has authored 127 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Surgery, 51 papers in Pulmonary and Respiratory Medicine and 45 papers in Oncology. Recurrent topics in Daisuke Uchida's work include Gallbladder and Bile Duct Disorders (44 papers), Pancreatic and Hepatic Oncology Research (39 papers) and Esophageal and GI Pathology (16 papers). Daisuke Uchida is often cited by papers focused on Gallbladder and Bile Duct Disorders (44 papers), Pancreatic and Hepatic Oncology Research (39 papers) and Esophageal and GI Pathology (16 papers). Daisuke Uchida collaborates with scholars based in Japan, United Kingdom and United States. Daisuke Uchida's co-authors include Michiaki Yamashita, Taisen Iguchi, Takeshi Kitano, Katsutaka Oishi, Hironari Kato, Hiroyuki Okada, Shigeru Horiguchi, Koichiro Tsutsumi, Kazuyuki Matsumoto and Norio Ishida and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Daisuke Uchida

118 papers receiving 1.9k 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 Uchida Japan 20 525 448 446 395 377 127 1.9k
Yusuke Inoue Japan 22 744 1.4× 126 0.3× 457 1.0× 510 1.3× 686 1.8× 148 2.2k
Harri Hakovirta Finland 25 538 1.0× 195 0.4× 443 1.0× 280 0.7× 96 0.3× 73 1.8k
Takayuki Morisaki Japan 34 2.1k 4.0× 747 1.7× 767 1.7× 501 1.3× 159 0.4× 154 3.7k
Nicolas Da Silva United States 30 1.6k 3.1× 131 0.3× 250 0.6× 334 0.8× 135 0.4× 37 2.8k
Cynthia R. Ward United States 20 313 0.6× 326 0.7× 174 0.4× 186 0.5× 211 0.6× 53 2.0k
Paul Toselli United States 29 1.2k 2.3× 385 0.9× 209 0.5× 163 0.4× 207 0.5× 72 2.5k
Sarah J. Meachem Australia 30 1.1k 2.1× 978 2.2× 325 0.7× 159 0.4× 108 0.3× 52 3.0k
Naoko Hashimoto Japan 31 1.4k 2.7× 508 1.1× 926 2.1× 176 0.4× 244 0.6× 105 3.3k
Wei‐Min Chen United States 26 843 1.6× 92 0.2× 155 0.3× 249 0.6× 237 0.6× 88 2.1k
Silvia M. Kreda United States 24 1.2k 2.3× 163 0.4× 196 0.4× 1.4k 3.6× 110 0.3× 44 2.9k

Countries citing papers authored by Daisuke Uchida

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Uchida

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Uchida. A scholar is included among the top collaborators of Daisuke Uchida 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 Uchida. Daisuke Uchida 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.
Nakashiro, Koh‐ichi, et al.. (2024). Clinical significance of gene alterations in oral squamous cell carcinoma. Japanese Journal of Oral & Maxillofacial Surgery. 70(3). 110–117. 1 indexed citations
2.
Uchida, Daisuke, Ryosuke Sato, Kazuyuki Matsumoto, et al.. (2024). Effectiveness of data-augmentation on deep learning in evaluating rapid on-site cytopathology at endoscopic ultrasound-guided fine needle aspiration. Scientific Reports. 14(1). 22441–22441. 8 indexed citations
3.
T, Oda, Koichiro Tsutsumi, Yuki Fujii, et al.. (2024). MicroRNA-34a-5p: A pivotal therapeutic target in gallbladder cancer. SHILAP Revista de lepidopterología. 32(1). 200765–200765. 4 indexed citations
4.
Matsumoto, Kazuyuki, Takehiro Tanaka, Takeshi Tomoda, et al.. (2023). Cysts or necrotic components in pancreatic ductal adenocarcinoma is associated with the risk of EUS-FNA/B complications including needle tract seeding. Pancreatology. 23(8). 988–995.
5.
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Sato, Ryosuke, Kazuyuki Matsumoto, Hideaki Kinugasa, et al.. (2023). Usefulness of the artificial intelligence-mediated virtual chromoendoscopy in peroral cholangioscopy. Endoscopy. 55(S 01). E971–E972. 4 indexed citations
7.
Kato, Hironari, Kazuhiro Nouso, Hideaki Kinugasa, et al.. (2021). Plasma KRAS mutations predict the early recurrence after surgical resection of pancreatic cancer. Cancer Biology & Therapy. 22(10-12). 564–570. 10 indexed citations
8.
Kato, Hironari, Kazuyuki Matsumoto, Shinichiro Muro, et al.. (2020). Effectiveness of Menghini-Type Needles for Endoscopic Ultrasound-Guided Fine-Needle Aspiration of Pancreatic Masses. Digestive Diseases and Sciences. 66(9). 3171–3178. 6 indexed citations
9.
Uchida, Daisuke, Hidenori Shiraha, Hironari Kato, et al.. (2020). Promising Gene Therapy Using an Adenovirus Vector Carrying REIC/Dkk-3 Gene for the Treatment of Biliary Cancer. Current Gene Therapy. 20(1). 64–70. 12 indexed citations
10.
Matsumoto, Kazuyuki, Hironari Kato, Kazuhiro Nouso, et al.. (2020). Evaluation of Local Recurrence of Pancreatic Cancer by KRAS Mutation Analysis Using Washes from Endoscopic Ultrasound-Guided Fine-Needle Aspiration. Digestive Diseases and Sciences. 65(10). 2907–2913. 5 indexed citations
11.
Matsumoto, Kazuyuki, Hironari Kato, Shigeru Horiguchi, et al.. (2019). Utility of Endoscopic Ultrasound-Guided Fine Needle Aspiration in the Diagnosis of Local Recurrence of Pancreaticobiliary Cancer after Surgical Resection. Gut and Liver. 14(5). 652–658. 1 indexed citations
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13.
Sakurada, Tsutomu, Kaori Kojima, Daisuke Uchida, et al.. (2017). Correlation Between Near-Vision Acuity and the Incidence of Peritoneal Dialysis-Related Infections.. PubMed. 32. 7–10. 2 indexed citations
14.
Tominaga, Naoto, et al.. (2016). Aldosterone Response in Severe Hypokalemia and Volume Depletion: A Case Report and Review of the Recent Research. Case Reports in Nephrology. 2016. 1–5. 2 indexed citations
15.
16.
Oishi, Katsutaka, Daisuke Uchida, & Nanako Itoh. (2012). Low-Carbohydrate, High-Protein Diet Affects Rhythmic Expression of Gluconeogenic Regulatory and Circadian Clock Genes in Mouse Peripheral Tissues. Chronobiology International. 29(7). 799–809. 36 indexed citations
17.
Uchida, Daisuke, Kazuhiro Nouso, Hironari Kato, Koichiro Tsutsumi, & Kazuhide Yamamoto. (2012). A case of celiac artery dissection diagnosed with EUS. Gastrointestinal Endoscopy. 76(2). 424–425. 6 indexed citations
18.
Oishi, Katsutaka, Daisuke Uchida, Naoki Ohkura, & Shuichi Horie. (2010). PPARα deficiency augments a ketogenic diet-induced circadian PAI-1 expression possibly through PPARγ activation in the liver. Biochemical and Biophysical Research Communications. 401(2). 313–318. 16 indexed citations
19.
Oishi, Katsutaka, Koyomi Miyazaki, Daisuke Uchida, et al.. (2009). PERIOD2 is a circadian negative regulator of PAI-1 gene expression in mice. Journal of Molecular and Cellular Cardiology. 46(4). 545–552. 39 indexed citations
20.
Oishi, Katsutaka, Daisuke Uchida, & Norio Ishida. (2008). Circadian expression of FGF21 is induced by PPARα activation in the mouse liver. FEBS Letters. 582(25-26). 3639–3642. 78 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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