Y. Tokuyama

870 citations
18 papers · 729 indexed · h-index 15
Topics
Pancreatic function and diabetes (8 papers)Diabetes and associated disorders (3 papers)Diabetes Treatment and Management (3 papers)
Partner nations
JapanUnited States

In The Last Decade

Y. Tokuyama

18 papers receiving 703 citations

Peers

Y. Tokuyama
Comparison fields: 5 of 76
  • Molecular Biology 297
  • Surgery 216
  • Physiology 182
  • Endocrinology, Diabetes and Metabolism 131
  • Genetics 112
Replace Brian M. Luttrell with:
Brian M. Luttrell Australia
Kirsten Capito Denmark
Kihachi Ohshima Japan
J. G. Drewett United States
Gillian Grafton United Kingdom
Srabani Sahu United States
Zhiguo Tang China
Gholamreza Fazeli Germany
Helen Freeman United Kingdom
Diana Athonvarangkul United States
Y. Tokuyama relative to Brian M. Luttrell Australia Brian M. Luttrell's profile →
Citations per field
00.5×2.9×
Brian M. Luttrell · 1×
Citations per year

Countries citing papers authored by Y. Tokuyama

Since Specialization
Citations

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

Fields of papers citing papers by Y. Tokuyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Tokuyama

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Tokuyama. A scholar is included among the top collaborators of Y. Tokuyama 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 Y. Tokuyama. Y. Tokuyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 11
2 23
3 6
4 14
5 42
6 54
7 38
8 144
9
Use of 33P-labeled primer increases the sensitivity and specificity of mRNA differential display.
18
10 62
11 17
12 84
13 38
14 15
15 11
16 31
17 27
18 94

About Y. Tokuyama

Y. Tokuyama is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 18 papers that have together received 729 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Diabetes and associated disorders (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Physiology (182 citations), Endocrine and Autonomic Systems (70 citations) and Endocrinology, Diabetes and Metabolism (131 citations). Y. Tokuyama has collaborated with scholars based in Japan and United States. Frequent co-authors include G I Bell, Masakazu Hara, Eugenia Jones, Zheng Fan, Azuma Kanatsuka, Jerry L. Nadler, Hideichi Makino, Jiali Gu, T. W. Balon and Arnie P. Jasman. Their work appears in journals such as Diabetes, Biochemical and Biophysical Research Communications and FEBS Letters.

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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