Hiroo Imura

983 citations
23 papers · 816 · h-index 13

Impact in

Papers in

Hiroo Imura

23 papers receiving 776 citations

Peers

Hiroo Imura
Comparison fields: 5 of 76
  • Cardiology and Cardiovascular Medicine 338
  • Physiology 243
  • Endocrine and Autonomic Systems 57
  • Endocrinology, Diabetes and Metabolism 127
  • Behavioral Neuroscience 26
Replace Rudolf M. Snajdar with:
Rudolf M. Snajdar United States
H. Jin United States
Taihei Imai Japan
H.‐C. Lam Taiwan
M Naruse Japan
S W Holmberg United States
Keizo Kimura Japan
Motoyoshi Tsujino Japan
Robert Bernstein United States
Xuping Bao United States
Hiroo Imura relative to Rudolf M. Snajdar United States Rudolf M. Snajdar's profile →
Citations per field
00.5×
Rudolf M. Snajdar · 1×
Citations per year

Countries citing papers authored by Hiroo Imura

Since Specialization
Citations

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

Fields of papers citing papers by Hiroo Imura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991207
2 1990197
3 199169
4 199755
5 197638
6
Plasma brain natriuretic peptide level in pregnant women with pregnancy-induced hypertension.
199330
7 199129
8 197625
9 198723
10 197722
11 198119
12 197819
13 198813
14 199012
15 197611
16 20098
17 19967
18 19807
19 19886
20 19886

About Hiroo Imura

Hiroo Imura is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Physiology and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 816 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Heart Failure Treatment and Management (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Receptor Mechanisms and Signaling (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Regulation of Appetite and Obesity (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (338 citations), Physiology (243 citations), Endocrine and Autonomic Systems (57 citations), Endocrinology, Diabetes and Metabolism (127 citations) and Behavioral Neuroscience (26 citations). Hiroo Imura has collaborated with scholars based in Japan. Frequent co-authors include Yoshihiro Ogawa, Hiroshi Arai, Kazuwa Nakao, Kiminori Hosoda, Shin-ichi Suga, Masashi Mukoyama, Kazuwa Nakao, Osamu Nakagawa, Shigetada Nakanishi and Shozo Shiono. Their work appears in journals such as Endocrinology, Canadian Journal of Physiology and Pharmacology, Biochemical and Biophysical Research Communications, European Journal of Endocrinology and Clinica Chimica Acta.

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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