T Yokota
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Physiology top 10%
- Molecular Biology
- Neurology top 5%
- Co-authors
- Robert F. SchmidtP. AndersenJ. C. EcclesJ. I. HubbardTsutomu OshimaI. Darian-SmithPaul D. MacLeanNozomu Nishikawa
- Topics
- Neuroscience and Neuropharmacology Research (5 papers)Neuroscience and Neural Engineering (4 papers)Radiopharmaceutical Chemistry and Applications (3 papers)
- Partner nations
- JapanAustraliaNetherlands
In The Last Decade
T Yokota
27 papers receiving 904 citations
Peers
Comparison fields: 5 of 97
- Cellular and Molecular Neuroscience 616
- Cognitive Neuroscience 357
- Physiology 280
- Molecular Biology 195
- Neurology 160
Countries citing papers authored by T Yokota
This map shows the geographic impact of T Yokota'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 T Yokota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Yokota more than expected).
Fields of papers citing papers by T Yokota
This network shows the impact of papers produced by T Yokota. 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 T Yokota. The network helps show where T Yokota may publish in the future.
Co-authorship network of co-authors of T Yokota
This figure shows the co-authorship network connecting the top 25 collaborators of T Yokota. A scholar is included among the top collaborators of T Yokota 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 T Yokota. T Yokota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | c-erbB-2, p53 protein expression and steroid hormone receptors in breast carcinomas: an immunohistochemical study. | 10 |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | [Deep peroneal nerve palsy associated with hypothyroidism]. | 1 |
| 6 | Enteromonas hominis incidence and diarrhea. | 3 |
| 7 | [Malignant lymphoma presenting with bilateral orbital apex syndrome]. | 3 |
| 8 | 30 | |
| 9 | [Physiological basis of trigeminal pain]. | 0 |
| 10 | 52 | |
| 11 | 33 | |
| 12 | 16 | |
| 13 | 36 | |
| 14 | Inhibitory effect of hippocampal seizures on unit responses evoked by fifth nerve stimulation in squirrel monkey. | 2 |
| 15 | 62 | |
| 16 | 28 | |
| 17 | 95 | |
| 18 | 123 | |
| 19 | 6 | |
| 20 | 179 |
About T Yokota
T Yokota is a scholar working on Cellular and Molecular Neuroscience, Complementary and Manual Therapy and Sensory Systems, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Neuroscience and Neural Engineering (4 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (616 citations), Neurology (160 citations) and Cognitive Neuroscience (357 citations). T Yokota has collaborated with scholars based in Japan, Australia and Netherlands. Frequent co-authors include Robert F. Schmidt, P. Andersen, J. C. Eccles, J. I. Hubbard, Tsutomu Oshima, I. Darian-Smith, Paul D. MacLean, Nozomu Nishikawa, Rosamond M. Eccles and Alexander G. Reeves. Their work appears in journals such as Nature, The Journal of Physiology and Journal of Neurophysiology.
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.