Takuroh Imamura

2.9k citations
83 papers · 2.3k indexed · h-index 27

Takuroh Imamura

82 papers receiving 2.3k citations

Peers

Takuroh Imamura
Comparison fields: 5 of 103
  • Cellular and Molecular Neuroscience 832
  • Cardiology and Cardiovascular Medicine 821
  • Endocrinology, Diabetes and Metabolism 311
  • Internal Medicine 68
  • Hematology 158
Replace Toshihiro Tsuruda with:
Toshihiro Tsuruda Japan
Ken Masatsugu Japan
James D. Moffatt United Kingdom
Mei Zhang China
Alex Agrotis Australia
Shujiro Inoue Japan
T. Takeda Japan
Ceren Eyileten Poland
Christian Troidl Germany
Halfdan Aass Norway
Takuroh Imamura relative to Toshihiro Tsuruda Japan Toshihiro Tsuruda's profile →
Citations per field
00.5×6.2×
Toshihiro Tsuruda · 1×
Citations per year

Countries citing papers authored by Takuroh Imamura

Since Specialization
Citations

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

Fields of papers citing papers by Takuroh Imamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20192
2 201915
3 201413
4 20121
5 200969
6 200935
7 200825
8 200674
9 200558
10 20057
11 20049
12 200434
13 20035
14
Clinical manifestations of influenza a myocarditis during the influenza epidemic of winter 1998-1999.
200160
15 20019
16 200028
17 200027
18 199920
19 19923
20 19878

About Takuroh Imamura

Takuroh Imamura is a scholar working on Internal Medicine, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 83 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (26 papers), Receptor Mechanisms and Signaling (23 papers), Hormonal Regulation and Hypertension (12 papers), Coronary Interventions and Diagnostics (9 papers), Peptidase Inhibition and Analysis (7 papers), Venous Thromboembolism Diagnosis and Management (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Nitric Oxide and Endothelin Effects (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (832 citations), Cardiology and Cardiovascular Medicine (821 citations) and Endocrinology, Diabetes and Metabolism (311 citations). Takuroh Imamura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tanenao Eto, Kazuo Kitamura, Yujiro Asada, Yasushi Koiwaya, Johji Kato, Toshihiro Tsuruda, Kinta Hatakeyama, Kenji Kangawa, Haruhiko Date and Atsushi Yamashita. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

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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