Ippei Shimizu

7.9k citations
87 papers · 5.5k indexed · 4 hit papers · h-index 33
Topics
Adipose Tissue and Metabolism (27 papers)Adipokines, Inflammation, and Metabolic Diseases (13 papers)Telomeres, Telomerase, and Senescence (11 papers)

In The Last Decade

Ippei Shimizu

82 papers receiving 5.5k citations

Hit Papers

p53-induced inhibition of Hif-1 causes cardiac dysfunctio...20072026201320192007201620092024200400600

Peers

Ippei Shimizu
Comparison fields: 5 of 136
  • Molecular Biology 2.4k
  • Physiology 1.8k
  • Cardiology and Cardiovascular Medicine 1.6k
  • Epidemiology 796
  • Cancer Research 670
Replace Motoaki Sano with:
Motoaki Sano Japan
Abhinav Diwan United States
Carsten Skurk Germany
Dorothy E. Vatner United States
Dao‐Fu Dai United States
Julie R. McMullen Australia
Wei Yi China
Lorrie A. Kirshenbaum Canada
Gerald W. Dorn United States
Ming Xu China
Ippei Shimizu relative to Motoaki Sano Japan Motoaki Sano's profile →
Citations per field
00.5×1.5×
Motoaki Sano · 1×
Citations per year

Countries citing papers authored by Ippei Shimizu

Since Specialization
Citations

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

Fields of papers citing papers by Ippei Shimizu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ippei Shimizu

This figure shows the co-authorship network connecting the top 25 collaborators of Ippei Shimizu. A scholar is included among the top collaborators of Ippei Shimizu 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 Ippei Shimizu. Ippei Shimizu 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 1
3 5
4 2
5 45
6 2
7 125
8 32
9 11
10
Physiological and pathological cardiac hypertrophybreakdown →
700
11 107
12 61
13 150
14 94
15 148
16 5
17 176
18 128
19
Variable-focal length lens using IPMC
4
20
p53-induced inhibition of Hif-1 causes cardiac dysfunction during pressure overloadbreakdown →
723

About Ippei Shimizu

Ippei Shimizu is a scholar working on Aging, Physiology and Cardiology and Cardiovascular Medicine, having authored 87 papers that have together received 5.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (27 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers) and Telomeres, Telomerase, and Senescence (11 papers). The work is most often cited by research in Aging (235 citations), Physiology (1.8k citations) and Cardiology and Cardiovascular Medicine (1.6k citations). Ippei Shimizu has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tohru Minamino, Yohko Yoshida, Issei Komuro, Aika Nojima, Kenneth Walsh, Masataka Yokoyama, Masayuki Orimo, Masayoshi Suda, Kaoru Tateno and Goro Katsuumi. Their work appears in journals such as Nature, Journal of Biological Chemistry and Circulation.

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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