Yutaka Nio

783 total citations
11 papers, 647 citations indexed

About

Yutaka Nio is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Yutaka Nio has authored 11 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Molecular Biology. Recurrent topics in Yutaka Nio's work include Renin-Angiotensin System Studies (3 papers), Cardiovascular Disease and Adiposity (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). Yutaka Nio is often cited by papers focused on Renin-Angiotensin System Studies (3 papers), Cardiovascular Disease and Adiposity (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). Yutaka Nio collaborates with scholars based in Japan. Yutaka Nio's co-authors include Satoshi Murasawa, Hiroaki Matsubara, Mitsuo Inada, Mikihiko Kanasaki, Sumio Mizuno, Yoshifumi Takahashi, Kazuo Ohsato, Bunji Kaku, Yoshiyuki Arai and Mitsuru Nagata and has published in prestigious journals such as Journal of Clinical Investigation, Biochemical and Biophysical Research Communications and The American Journal of Cardiology.

In The Last Decade

Yutaka Nio

10 papers receiving 630 citations

Peers

Yutaka Nio
Comparison fields: 5 of 52
  • Cardiology and Cardiovascular Medicine 502
  • Molecular Biology 328
  • Endocrinology, Diabetes and Metabolism 243
  • Pharmacology 60
  • Physiology 59
Replace Mikihiko Kanasaki with:
Mikihiko Kanasaki Japan
M V Raynolds United States
P J Admiraal Netherlands
Winfried Schorb Germany
Daniel Diamant United States
K Takeuchi Japan
Naohiko Ohkubo Japan
Lan Wu Japan
Atsuko Fujiyama Japan
Lidia Caputo France
Mikihiko Kanasaki Japan View profile →
Citations per field, relative to Yutaka Nio
Yutaka Nio · 1×
Citations per year, relative to Yutaka Nio
Yutaka Nio · 1×

Countries citing papers authored by Yutaka Nio

Since Specialization
Citations

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

Fields of papers citing papers by Yutaka Nio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutaka Nio

This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Nio. A scholar is included among the top collaborators of Yutaka Nio 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 Yutaka Nio. Yutaka Nio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 68
2 8
3 3
4 36
5 5
6 15
7 366
8 3
9 124
10 18
11
In vitro production of an antitumor agent by reticuloendothelial cells.
1

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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2026