Masashi Ueda

4.0k citations
126 papers · 3.2k · h-index 32

Impact in

    • Ion Channels and Receptors
  • Physiology top 5%
    • Pain Mechanisms and Treatments
    • Alzheimer's disease research and treatments

Papers in

Masashi Ueda

125 papers receiving 3.1k citations

Peers

Masashi Ueda
Comparison fields: 5 of 125
  • Sensory Systems 296
  • Physiology 600
  • Radiology, Nuclear Medicine and Imaging 500
  • Cellular and Molecular Neuroscience 369
  • Pharmacology 243
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Masashi Ueda relative to Hiroyuki Kobayashi Japan Hiroyuki Kobayashi's profile →
Citations per field
00.5×2.6×
Hiroyuki Kobayashi · 1×
Citations per year

Countries citing papers authored by Masashi Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Masashi Ueda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Masashi Ueda Line = papers co-authored together Masashi Ueda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004192
2 2003189
3 2015171
4 2012125
5 201694
6 201489
7 200686
8 200581
9 201169
10 199866
11 201063
12 201262
13 200761
14 200760
15 200657
16 201556
17 200952
18 201851
19 199550
20 200947

About Masashi Ueda

Masashi Ueda is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Physiology, Cellular and Molecular Neuroscience and Surgery, having authored 126 papers that have together received 3.2k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (14 papers), Radiopharmaceutical Chemistry and Applications (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Medical Imaging Techniques and Applications (8 papers), Alzheimer's disease research and treatments (7 papers), Pancreatic function and diabetes (6 papers), Pain Mechanisms and Treatments (6 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Sensory Systems (296 citations), Physiology (600 citations), Radiology, Nuclear Medicine and Imaging (500 citations), Cellular and Molecular Neuroscience (369 citations) and Pharmacology (243 citations). Masashi Ueda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hideo Saji, Masaki Tanaka, Fumimasa Amaya, Yoshifumi Tanaka, Goshun Shimosato, Shuichi Enomoto, Shinichiro Kamino, Hidekazu Kawashima, Hiroyuki Kimura and Shiroh Futaki. Their work appears in journals such as Biochemical and Biophysical Research Communications, Nuclear Medicine and Biology, Annals of Nuclear Medicine, PLoS ONE and Molecular Imaging and Biology.

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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