Taku Inoue

2.7k total citations
45 papers, 2.1k citations indexed

About

Taku Inoue is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Epidemiology. According to data from OpenAlex, Taku Inoue has authored 45 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 10 papers in Nephrology and 9 papers in Epidemiology. Recurrent topics in Taku Inoue's work include Blood Pressure and Hypertension Studies (14 papers), Heart rate and cardiovascular health (12 papers) and Heart Rate Variability and Autonomic Control (10 papers). Taku Inoue is often cited by papers focused on Blood Pressure and Hypertension Studies (14 papers), Heart rate and cardiovascular health (12 papers) and Heart Rate Variability and Autonomic Control (10 papers). Taku Inoue collaborates with scholars based in Japan, South Korea and United States. Taku Inoue's co-authors include Kunitoshi Iseki, Shuichi Takishita, Kozen Kinjo, Chiho Iseki, Yoshiharu Ikemiya, Kazufumi Nagahama, Yusuke Ohya, Takashi Touma, Masahiro Tamashiro and Koshiro Fukiyama and has published in prestigious journals such as Kidney International, American Journal of Kidney Diseases and Neuroscience Letters.

In The Last Decade

Taku Inoue

39 papers receiving 2.0k citations

Peers

Taku Inoue
Comparison fields: 5 of 106
  • Nephrology 1.4k
  • Pathology and Forensic Medicine 612
  • Epidemiology 448
  • Surgery 444
  • Cardiology and Cardiovascular Medicine 424
Replace Kozen Kinjo with:
Kozen Kinjo Japan
Giovanna Leoncini Italy
Ingrid Toft Norway
Ronald T. Gansevoort Netherlands
Simone Vettoretti Italy
Mirela Dobre United States
Naser Ahmadi United States
Takayasu Ohtake Japan
Giuseppe Mulè Italy
A. Ahsan Ejaz United States
Kozen Kinjo Japan View profile →
Citations per field, relative to Taku Inoue
Taku Inoue · 1×
Citations per year, relative to Taku Inoue
Taku Inoue · 1×

Countries citing papers authored by Taku Inoue

Since Specialization
Citations

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

Fields of papers citing papers by Taku Inoue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taku Inoue

This figure shows the co-authorship network connecting the top 25 collaborators of Taku Inoue. A scholar is included among the top collaborators of Taku Inoue 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 Taku Inoue. Taku Inoue 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
# Work Indexed citations
1 20
2 10
3 11
4 18
5 3
6 0
7 38
8 2
9 12
10 50
11 39
12 24
13 12
14 44
15 15
16 141
17 150
18 456
19 306
20 127

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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