Takao Noshiro

844 citations
43 papers · 670 indexed · h-index 15

Takao Noshiro

43 papers receiving 649 citations

Peers

Takao Noshiro
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 336
  • Cancer Research 175
  • Surgery 374
  • Neurology 97
  • Cardiology and Cardiovascular Medicine 132
Replace G Bernini with:
G Bernini Italy
Masaru Doi Japan
Takuyuki Katabami Japan
Magalie Haissaguerre France
Laura Zinnamosca Italy
E. Fernqvist‐Forbes Sweden
Mandy Donaldson United Kingdom
Anna Riester Germany
Yukari Mimura Japan
Ingrid Ernest Sweden
Takao Noshiro relative to G Bernini Italy G Bernini's profile →
Citations per field
00.5×2.6×
G Bernini · 1×
Citations per year

Countries citing papers authored by Takao Noshiro

Since Specialization
Citations

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

Fields of papers citing papers by Takao Noshiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2005100
2 200356
3 200239
4 200136
5 200018
6 200014
7 199837
8
Changes in clinical features and long-term prognosis in patients with pheochromocytoma
19971
9 19975
10 19975
11 19957
12 19952
13 19958
14 199512
15 19947
16 19937
17 19907
18 19875
19 19862
20 19854

About Takao Noshiro

Takao Noshiro is a scholar working on Endocrinology, Diabetes and Metabolism, Neuropsychology and Physiological Psychology and Cardiology and Cardiovascular Medicine, having authored 43 papers that have together received 670 indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (12 papers), Hormonal Regulation and Hypertension (11 papers), Neuroblastoma Research and Treatments (7 papers), Blood Pressure and Hypertension Studies (7 papers), Heart Rate Variability and Autonomic Control (6 papers), Pituitary Gland Disorders and Treatments (4 papers), Neurofibromatosis and Schwannoma Cases (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (336 citations), Cancer Research (175 citations) and Surgery (374 citations). Takao Noshiro has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Yukio Miura, Noriko Kimura, Toshiya Watanabe, Soichiro Shizawa, Kazuhiro Takahashi, Kazuhito Totsune, Osamu Murakami, Zenei Arihara, Shigeki Shibahara and Hiroshi Nagura. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Obstetrics and Gynecology and American Journal of Physiology-Heart and Circulatory Physiology.

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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