T. Imoto

18 papers receiving 379 citations

Peers

T. Imoto
Comparison fields: 5 of 67
  • Sensory Systems 178
  • Nutrition and Dietetics 233
  • Endocrine and Autonomic Systems 75
  • Cellular and Molecular Neuroscience 72
  • Endocrinology, Diabetes and Metabolism 37
Replace Masami Takeda with:
Masami Takeda Japan
Toshiaki Yasuo Japan
Tadahiro Ohkuri Japan
Masafumi Jyotaki Japan
Nicole Schöbel Germany
Sung Jin Park Canada
Jeremy D. Bushman United States
Elnaz Karimian Azari United States
Amanda E. T. Elson United States
Tetsuro Shibakusa Japan
T. Imoto relative to Masami Takeda Japan Masami Takeda's profile →
Citations per field
00.5×3.3×
Masami Takeda · 1×
Citations per year

Countries citing papers authored by T. Imoto

Since Specialization
Citations

This map shows the geographic impact of T. Imoto'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. Imoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Imoto more than expected).

Fields of papers citing papers by T. Imoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T. Imoto, 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 T. Imoto Line = papers co-authored together T. Imoto links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1984119
2 199570
3 199744
4 199826
5 198025
6 199821
7 198716
8 198314
9 198713
10
Effects of long-term administration of Gymnema sylvestre watery-extract on variations of body weight, plasma glucose, serum triglyceride, total cholesterol and insulin in Wistar fatty rats
199411
11 201310
12 200510
13 19836
14 19825
15 19792
16
[Perirenal urinary extravasation demonstrated by bone scintigraphy--a case report (author's transl)].
19812
17 19852
18
Perirenal urinary extravasation demonstrated by bone scintigraphy
19811

About T. Imoto

T. Imoto is a scholar working on Nutrition and Dietetics, Molecular Biology, Pulmonary and Respiratory Medicine, Sensory Systems and Surgery, having authored 18 papers that have together received 397 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (7 papers), Olfactory and Sensory Function Studies (4 papers), Medical Imaging and Pathology Studies (2 papers), Urological Disorders and Treatments (2 papers), Pediatric Urology and Nephrology Studies (2 papers), Regulation of Appetite and Obesity (2 papers), Natural Antidiabetic Agents Studies (2 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Sensory Systems (178 citations), Nutrition and Dietetics (233 citations), Endocrine and Autonomic Systems (75 citations), Cellular and Molecular Neuroscience (72 citations) and Endocrinology, Diabetes and Metabolism (37 citations). T. Imoto has collaborated with scholars based in Japan. Frequent co-authors include Yuzo Ninomiya, Hisashi Ogawa, Tomonari Hayama, Masaru Inoue, Kazuo Nakashima, Masayuki Miyoshi, Harumi Yamada, Hong Luo, Tomoyuki Sasaki and Hajime Nakata. Their work appears in journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Chemical and Pharmaceutical Bulletin, Experimental Brain Research, Chemical Senses and Canadian Journal of Physiology and Pharmacology.

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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