Yoko Izumi

1.4k citations
55 papers · 1.0k indexed · h-index 18
Topics
Hormonal Regulation and Hypertension (8 papers)Renin-Angiotensin System Studies (5 papers)Reproductive Biology and Fertility (4 papers)
Partner nations
JapanIndiaUnited Kingdom

In The Last Decade

Yoko Izumi

53 papers receiving 1.0k citations

Peers

Yoko Izumi
Comparison fields: 5 of 110
  • Molecular Biology 242
  • Cardiology and Cardiovascular Medicine 188
  • Public Health, Environmental and Occupational Health 143
  • Endocrinology, Diabetes and Metabolism 140
  • Epidemiology 135
Replace Rami Nassir with:
Rami Nassir United States
Allan Green United States
Jayashree Bhattacharjee India
Keun-Young Yoo South Korea
Ebrahim Shakiba Iran
Maria Grazia Tarsitano Italy
Edward Ruiz-Narváez United States
Jingya Wang China
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Citations per field
00.5×1.5×
Rami Nassir · 1×
Citations per year

Countries citing papers authored by Yoko Izumi

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Izumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Izumi

This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Izumi. A scholar is included among the top collaborators of Yoko Izumi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yoko Izumi. Yoko Izumi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 9
3 7
4 36
5 5
6 16
7 6
8 2
9 17
10 46
11 13
12 39
13 65
14
A C2077T polymorphism of the type B human natriuretic peptide receptor gene is not associated with myocardial infarction.
4
15 13
16 8
17
IS084 DIFFERENTIAL EFFECTS OF ANGIOTENSIN-CONVERTING ENZYME INHIBITOR AND AT1 RECEPTOR ANTAGONIST ON MITOGEN-ACTIVATED PROTEIN KINASE IN BALLOON-INJURED RAT ARTERY
1
18
IS085 ANGIOTENSIN II-PRODUCING SYSTEM IN VASCULAR SMOOTH MUSCLE CELLS FROM SPONTANEOUSLY HYPERTENSIVE RATS
2
19 11
20 72

About Yoko Izumi

Yoko Izumi is a scholar working on Reproductive Medicine, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 55 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (8 papers), Renin-Angiotensin System Studies (5 papers) and Reproductive Biology and Fertility (4 papers). The work is most often cited by research in Reproductive Medicine (97 citations), Endocrinology, Diabetes and Metabolism (140 citations) and Cardiology and Cardiovascular Medicine (188 citations). Yoko Izumi has collaborated with scholars based in Japan, India and United Kingdom. Frequent co-authors include Shigeru Hisamichi, Akira Nakatsuka, Masumi Yamagishi, Masayoshi Soma, Katsuo Kanmatsuse, Toshimi Sairenchi, Fujiko Irie, Akira Fukao, Tomohiro Nakayama and Yoshikazu Nishino. Their work appears in journals such as Circulation, PLoS ONE and Hypertension.

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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