Yoshimi Imura

1.2k citations
31 papers · 1.0k indexed · h-index 16

Impact in

Papers in

Yoshimi Imura

30 papers receiving 961 citations

Peers

Yoshimi Imura
Comparison fields: 5 of 97
  • Cardiology and Cardiovascular Medicine 246
  • Biochemistry 78
  • Endocrinology, Diabetes and Metabolism 162
  • Hematology 79
  • Pharmacology 117
Replace Anne Ward Scribner with:
Anne Ward Scribner United States
I. Myara France
Melba Hernandez United States
Shin-ichiro Miura Japan
Haruhisa Otani Japan
Zhangyin Ming China
G. Bittolo‐Bon Italy
Timo P. Hiltunen Finland
Takashi Obama Japan
Johan Beetens Belgium
Yoshimi Imura relative to Anne Ward Scribner United States Anne Ward Scribner's profile →
Citations per field
00.5×3.6×
Anne Ward Scribner · 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 1985203
2 2010122
3 201190
4 198587
5 200364
6 200359
7 199943
8 200443
9 198642
10 200336
11 198630
12 198924
13 200122
14 198821
15 199120
16 199219
17 199014
18 201811
19 199511
20 198911

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 1.0k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (7 papers), Inflammatory mediators and NSAID effects (7 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Hormonal Regulation and Hypertension (4 papers), Nitric Oxide and Endothelin Effects (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Plant biochemistry and biosynthesis (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (246 citations), Biochemistry (78 citations), Endocrinology, Diabetes and Metabolism (162 citations), Hematology (79 citations) and Pharmacology (117 citations). Yoshimi Imura has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Kohei Nishikawa, Zen‐ichi Terashita, Yasuo Sugiyama, Ryuichi Tozawa, Tomoyuki Nishimoto, Yuichiro Amano, Yumiko Shibouta, Mami Ojima, Takanobu Kuroita and Hiroki Sakamoto. Their work appears in journals such as European Journal of Pharmacology, Biochemical Pharmacology, Thrombosis Research, Life Sciences and Kidney International.

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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