Teizo Ueyama

828 total citations
30 papers, 675 citations indexed

About

Teizo Ueyama is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Teizo Ueyama has authored 30 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 8 papers in Neurology. Recurrent topics in Teizo Ueyama's work include Neuropeptides and Animal Physiology (11 papers), Neuroscience and Neuropharmacology Research (7 papers) and Vestibular and auditory disorders (7 papers). Teizo Ueyama is often cited by papers focused on Neuropeptides and Animal Physiology (11 papers), Neuroscience and Neuropharmacology Research (7 papers) and Vestibular and auditory disorders (7 papers). Teizo Ueyama collaborates with scholars based in Japan. Teizo Ueyama's co-authors include Noboru Mizuno, Takeshi Houtani, Tetsuo Sugimoto, Sakashi Nomura, Michiko Ikeda, Matsuo Matsushita, Kazuo Itoh, Kazuo Sato, Akira Konishi and Toshio Yamashita and has published in prestigious journals such as The Journal of Comparative Neurology, Brain Research and Neuroscience.

In The Last Decade

Teizo Ueyama

30 papers receiving 658 citations

Peers

Teizo Ueyama
Comparison fields: 5 of 70
  • Cellular and Molecular Neuroscience 283
  • Molecular Biology 153
  • Endocrine and Autonomic Systems 133
  • Physiology 123
  • Sensory Systems 96
Replace N. Rajaofetra with:
N. Rajaofetra France
Caroline M. Klein United States
Tetsuro Sakumoto Japan
R. Bortolami Italy
Keiko Takanami Japan
J. de Pommery France
P.M.E. Waite Australia
M. Réthelyi Hungary
Maorong Jiang United States
Meredith T. Robbins United States
N. Rajaofetra France View profile →
Citations per field, relative to Teizo Ueyama
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Citations per year, relative to Teizo Ueyama
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Countries citing papers authored by Teizo Ueyama

Since Specialization
Citations

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

Fields of papers citing papers by Teizo Ueyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teizo Ueyama

This figure shows the co-authorship network connecting the top 25 collaborators of Teizo Ueyama. A scholar is included among the top collaborators of Teizo Ueyama 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 Teizo Ueyama. Teizo Ueyama 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
# Work Indexed citations
1 2
2 4
3 5
4 12
5 13
6 15
7 4
8 2
9 16
10 8
11 10
12 6
13 40
14 30
15 20
16 23
17 12
18 18
19 5
20 114

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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