Yoshimi Imura

1.2k citations
31 papers · 1.1k · h-index 16

Impact in

Papers in

Yoshimi Imura

30 papers receiving 992 citations

Peers

Yoshimi Imura
Comparison fields: 5 of 96
  • Cardiology and Cardiovascular Medicine 240
  • Biochemistry 78
  • Endocrinology, Diabetes and Metabolism 132
  • Pharmacology 115
  • Hematology 76
Replace J Larrue with:
J Larrue France
Kerry W.S. Ko Canada
Johan Beetens Belgium
G. Bittolo‐Bon Italy
Zeenat S. Hakim United States
Toshimi Kanbe Japan
Melba Hernandez United States
Miriam H. Fukami Norway
Yue Du China
Masataka Yokode Japan
Yoshimi Imura relative to J Larrue France J Larrue's profile →
Citations per field
00.5×5×10×16.3×
J Larrue · 1×
Citations per year

Countries citing papers authored by Yoshimi Imura

Since Specialization
Citations

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

Fields of papers citing papers by Yoshimi Imura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985222
2 2010125
3 201194
4 198593
5 200367
6 200361
7 200444
8 199943
9 198643
10 200339
11 198630
12 198926
13 200123
14 198822
15 199120
16 199220
17 199015
18 198912
19 201411
20 201811

About Yoshimi Imura

Yoshimi Imura is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pharmacology, Physiology and Biochemistry, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (7 papers), Renin-Angiotensin System Studies (6 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Hormonal Regulation and Hypertension (3 papers) and Plant biochemistry and biosynthesis (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (240 citations), Biochemistry (78 citations), Endocrinology, Diabetes and Metabolism (132 citations), Pharmacology (115 citations) and Hematology (76 citations). Yoshimi Imura has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Kohei Nishikawa, Zen‐ichi Terashita, Yasuo Sugiyama, Ryuichi Tozawa, Tomoyuki Nishimoto, Yuichiro Amano, Yumiko Shibouta, Takanobu Kuroita, Hiroki Sakamoto and Keiji Kubo. Their work appears in journals such as European Journal of Pharmacology, Biochemical Pharmacology, Journal of Medicinal Chemistry, Kidney International and Thrombosis Research.

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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