Shuhei Ueda

2.1k total citations
58 papers, 1.6k citations indexed

About

Shuhei Ueda is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Shuhei Ueda has authored 58 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 15 papers in Pulmonary and Respiratory Medicine and 13 papers in Molecular Biology. Recurrent topics in Shuhei Ueda's work include Gastric Cancer Management and Outcomes (11 papers), Antibiotic Resistance in Bacteria (10 papers) and Esophageal Cancer Research and Treatment (9 papers). Shuhei Ueda is often cited by papers focused on Gastric Cancer Management and Outcomes (11 papers), Antibiotic Resistance in Bacteria (10 papers) and Esophageal Cancer Research and Treatment (9 papers). Shuhei Ueda collaborates with scholars based in Japan, Vietnam and United States. Shuhei Ueda's co-authors include Mitsuo Tachibana, Naofumi Nagasue, Dipok Kumar Dhar, Toshiyuki Fujii, Hiroshi Yoshimura, Shoichi Kinugasa, Hironori Katoh, Masahiko Negishi, Hirofumi Kubota and Satoshi Fujimoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Shuhei Ueda

53 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuhei Ueda Japan 22 528 379 321 244 229 58 1.6k
Kengo Kato Japan 18 397 0.8× 299 0.8× 203 0.6× 159 0.7× 80 0.3× 79 1.2k
Valentina Donati Italy 24 1.7k 3.2× 196 0.5× 143 0.4× 281 1.2× 140 0.6× 70 2.8k
Piotr Bielecki Germany 20 929 1.8× 67 0.2× 190 0.6× 387 1.6× 125 0.5× 30 1.7k
Jan D.H. Jongbloed Netherlands 37 2.3k 4.4× 344 0.9× 104 0.3× 100 0.4× 53 0.2× 96 5.0k
Siying Ye Australia 22 1.0k 2.0× 162 0.4× 277 0.9× 184 0.8× 134 0.6× 41 1.9k
Sang Rok Lee South Korea 17 809 1.5× 568 1.5× 210 0.7× 181 0.7× 26 0.1× 141 2.1k
Mayumi Tanaka Japan 25 522 1.0× 390 1.0× 41 0.1× 318 1.3× 320 1.4× 68 1.9k
Brent Berwin United States 31 1.3k 2.5× 92 0.2× 251 0.8× 1.2k 4.8× 131 0.6× 57 2.6k
Eileen Uribe‐Querol Mexico 16 558 1.1× 117 0.3× 129 0.4× 891 3.7× 18 0.1× 31 1.9k
Lubna H. Abdullah United States 22 668 1.3× 140 0.4× 947 3.0× 197 0.8× 26 0.1× 33 1.9k

Countries citing papers authored by Shuhei Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Shuhei Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhei Ueda

This figure shows the co-authorship network connecting the top 25 collaborators of Shuhei Ueda. A scholar is included among the top collaborators of Shuhei 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 Shuhei Ueda. Shuhei 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.
Ueda, Shuhei & Sayaka Takemoto‐Kimura. (2024). Exploring the molecular and neuronal bases involved in central amygdala-dependent control of emotional behaviors. Folia Pharmacologica Japonica. 159(5). 316–320.
2.
Ueda, Shuhei, Masashi Nagase, Takashi Nagashima, et al.. (2023). Experience-dependent changes in affective valence of taste in male mice. Molecular Brain. 16(1). 28–28. 2 indexed citations
3.
Matsubara, T., Noriaki Kawaguchi, T. Nakano, et al.. (2021). Remote control of neural function by X-ray-induced scintillation. Nature Communications. 12(1). 4478–4478. 56 indexed citations
4.
5.
Ueda, Shuhei, Hirotaka Ebina, Yuka Kanemura, Naoko Misawa, & Yoshio Koyanagi. (2016). Anti‐HIV‐1 potency of the CRISPR/Cas9 system insufficient to fully inhibit viral replication. Microbiology and Immunology. 60(7). 483–496. 52 indexed citations
6.
Ueda, Shuhei, et al.. (2016). Current status of extended spectrum β-lactamase-producing Escherichia coli, Klebsiella pneumoniae and Proteus mirabilis in Okinawa prefecture, Japan. Journal of Infection and Chemotherapy. 22(5). 281–286. 14 indexed citations
7.
8.
Ueda, Shuhei, Itaru Hirai, Tatsuya Nakayama, et al.. (2015). Characteristics of Extended-Spectrum β-Lactamase–Producing Escherichia coli in Retail Meats and Shrimp at a Local Market in Vietnam. Foodborne Pathogens and Disease. 12(8). 719–725. 69 indexed citations
9.
Ueda, Shuhei, Masahiko Negishi, & Hironori Katoh. (2013). Rac GEF Dock4 interacts with cortactin to regulate dendritic spine formation. Molecular Biology of the Cell. 24(10). 1602–1613. 38 indexed citations
10.
Ueda, Shuhei, et al.. (2008). Dock4 regulates dendritic development in hippocampal neurons. Journal of Neuroscience Research. 86(14). 3052–3061. 48 indexed citations
11.
Tachibana, Mitsuo, Yasuhito Tonomoto, Ryoji Hyakudomi, et al.. (2007). Expression and prognostic significance of EFNB2 and EphB4 genes in patients with oesophageal squamous cell carcinoma. Digestive and Liver Disease. 39(8). 725–732. 29 indexed citations
12.
Ohno, Satoshi, Hiroyuki Inagawa, Dipok Kumar Dhar, et al.. (2005). Role of tumor-associated macrophages (TAM) in advanced gastric carcinoma: the impact on FasL-mediated counterattack.. PubMed. 25(1B). 463–70. 32 indexed citations
13.
Kinugasa, Shoichi, Mitsuo Tachibana, Hiroshi Yoshimura, et al.. (2004). Postoperative pulmonary complications are associated with worse short‐ and long‐term outcomes after extended esophagectomy. Journal of Surgical Oncology. 88(2). 71–77. 128 indexed citations
14.
Ohno, Satoshi, Toshiyuki Fujii, Shuhei Ueda, et al.. (2003). Predictive factors and timing for liver recurrence after curative resection of gastric carcinoma. The American Journal of Surgery. 185(3). 258–263. 23 indexed citations
15.
Tachibana, Mitsuo, Dipok Kumar Dhar, Shoichi Kinugasa, et al.. (2002). Surgical Treatment for Locally Advanced (T4) Squamous Cell Carcinoma of the Thoracic Esophagus. Dysphagia. 17(4). 255–261. 18 indexed citations
16.
Tachibana, Mitsuo, Dipok Kumar Dhar, Shoichi Kinugasa, et al.. (2002). Prognosis of Patients with T2N0 Tumors in the Alimentary Tract: Should They Be Considered as Early Cancers?. Digestion. 66(1). 19–22. 3 indexed citations
17.
Tachibana, Mitsuo, Shoichi Kinugasa, Dipok Kumar Dhar, et al.. (2001). Dukes' classification as a useful staging system in resectable squamous cell carcinoma of the esophagus. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 438(4). 350–356. 13 indexed citations
18.
Ohno, Satoshi, Mitsuo Tachibana, Toshiyuki Fujii, et al.. (2001). Role of stromal collagen in immunomodulation and prognosis of advanced gastric carcinoma. International Journal of Cancer. 97(6). 770–774. 53 indexed citations
19.
Tachibana, Mitsuo, Hiroshi Yoshimura, S Kinugasa, et al.. (2001). Clinicopathologic factors correlated with number of metastatic lymph nodes in oesophageal cancer. Digestive and Liver Disease. 33(7). 534–538. 23 indexed citations
20.
Ueda, Shuhei. (1999). Detection of Toxigenic Staphylococcus aureus from foods by means of PCR assay. 27. 505–510. 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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