Teruko Nomoto

507 citations
52 papers · 403 · h-index 12

Impact in

Papers in

    • Adipose Tissue and Metabolism 10
    • Nitric Oxide and Endothelin Effects 7
    • Biochemical effects in animals 5
    • Neuropeptides and Animal Physiology 14
    • Neuroscience and Neuropharmacology Research 7

Teruko Nomoto

48 papers receiving 386 citations

Peers

Teruko Nomoto
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 225
  • Endocrine and Autonomic Systems 61
  • Physiology 33
  • Gastroenterology 31
  • Physiology 142
Replace J.M. Hills with:
J.M. Hills United Kingdom
E. Giraldo Italy
Yasuko Sakurai‐Yamashita Japan
Daniel J. Williford United States
H. N. Doods Netherlands
E. Milusheva Bulgaria
Snyder Sh United States
Carol A. Whiteis United States
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T A Branchek United States
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Citations per field
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Citations per year

Countries citing papers authored by Teruko Nomoto

Since Specialization
Citations

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

Fields of papers citing papers by Teruko Nomoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Teruko Nomoto, 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 Teruko Nomoto Line = papers co-authored together Teruko Nomoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199148
2 199038
3 197932
4 198024
5 199123
6 198920
7 198116
8 199114
9 199112
10 198012
11 198311
12 199411
13 199411
14 198210
15 19889
16 19799
17 19849
18 19897
19 19927
20 19886

About Teruko Nomoto

Teruko Nomoto is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 52 papers that have together received 403 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (14 papers), Adipose Tissue and Metabolism (10 papers), Nitric Oxide and Endothelin Effects (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Receptor Mechanisms and Signaling (5 papers), Biochemical effects in animals (5 papers), Diet, Metabolism, and Disease (4 papers) and Thyroid Disorders and Treatments (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (225 citations), Endocrine and Autonomic Systems (61 citations), Physiology (33 citations), Gastroenterology (31 citations) and Physiology (142 citations). Teruko Nomoto has collaborated with scholars based in Japan, Pakistan and France. Frequent co-authors include Teiichiro Tonoue, Kaoru Irie, Rie Miyoshi, Shozo Kito, Emiko Fujii, Takamura Muraki, Yoko Uchida, Fujiko Tsukahara, G Boschi and Richard Rips. Their work appears in journals such as European Journal of Pharmacology, The Japanese Journal of Pharmacology, British Journal of Pharmacology, Journal of Pharmacy and Pharmacology and Peptides.

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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