T Nogimori

978 citations
89 papers · 760 indexed · h-index 15

T Nogimori

84 papers receiving 741 citations

Peers

T Nogimori
Comparison fields: 5 of 94
  • Behavioral Neuroscience 93
  • Endocrine and Autonomic Systems 174
  • Endocrinology, Diabetes and Metabolism 235
  • Cellular and Molecular Neuroscience 177
  • Reproductive Medicine 79
Replace M. Morris with:
M. Morris United States
Zenei Arihara Japan
Patricia Facchinetti France
E.E. Müller Italy
D.M. Gibbs United States
Gastone G. Nussdorfer Italy
Pierre Broqua France
Biana Shtaif Israel
V. Štrbák Slovakia
L K Malendowicz Italy
T Nogimori relative to M. Morris United States M. Morris's profile →
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Citations per year

Countries citing papers authored by T Nogimori

Since Specialization
Citations

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

Fields of papers citing papers by T Nogimori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20132
2 20091
3 200912
4 20091
5 20092
6 20090
7 200933
8 200736
9
Radioimmunoassay for aquaporin-9.
20041
10
Distribution of thyrostimulin in the rat: an immunohistochemical study.
200415
11 199947
12
Distribution of calcium sensing receptor in rats: an immunohistochemical study.
199932
13
Distribution of Dopamine Transporter in the Rat: an Immunohistochemical Study.
199819
14 19982
15 19970
16 19969
17 19937
18 19892
19 19876
20
[A radioimmunoassay for measurement of 3, 3'-L-diiodothyronine in unextracted human serum (author's transl)].
19791

About T Nogimori

T Nogimori is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 89 papers that have together received 760 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (36 papers), Neuropeptides and Animal Physiology (34 papers), Growth Hormone and Insulin-like Growth Factors (21 papers), Stress Responses and Cortisol (19 papers), Hypothalamic control of reproductive hormones (16 papers), Pituitary Gland Disorders and Treatments (6 papers), Biochemical effects in animals (6 papers) and Neuroendocrine Tumor Research Advances (5 papers). The work is most often cited by research in Behavioral Neuroscience (93 citations), Endocrine and Autonomic Systems (174 citations) and Endocrinology, Diabetes and Metabolism (235 citations). T Nogimori has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Terunori Mitsuma, Y Hirooka, Koshin Adachi, Maki Kayama, Y Mori, Toshihiro Konagaya, Masahiro Matsunaga, Hideki Ohira, Lewis E. Braverman and Kazuya Ando. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Journal of Medicinal Chemistry.

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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