Takashi Miida

5.5k total citations
239 papers, 3.8k citations indexed

About

Takashi Miida is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Takashi Miida has authored 239 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Surgery, 63 papers in Molecular Biology and 60 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Takashi Miida's work include Diabetes, Cardiovascular Risks, and Lipoproteins (48 papers), Lipoproteins and Cardiovascular Health (47 papers) and Cholesterol and Lipid Metabolism (25 papers). Takashi Miida is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (48 papers), Lipoproteins and Cardiovascular Health (47 papers) and Cholesterol and Lipid Metabolism (25 papers). Takashi Miida collaborates with scholars based in Japan, United States and Netherlands. Takashi Miida's co-authors include Satoshi Hirayama, Yoko Tabe, Masahiko Okada, Osamu Hanyu, C J Fielding, Koichi Inano, P E Fielding, Osamu Miyazaki, Akihiro Takahashi and Christopher J. Fielding and has published in prestigious journals such as Blood, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Takashi Miida

235 papers receiving 3.7k citations

Peers

Takashi Miida
Comparison fields: 5 of 141
  • Surgery 1.4k
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Molecular Biology 987
  • Physiology 576
  • Cardiology and Cardiovascular Medicine 571
Replace Eleni Bairaktari with:
Eleni Bairaktari Greece
John R. Burnett Australia
Jerzy–Roch Nofer Germany
José Luís Sánchez-Quesada Spain
Naoki Kashihara Japan
Maryse Guérin France
Heinrich Wieland Germany
Lisa R. Tannock United States
Adam Krętowski Poland
P. Haydn Pritchard Canada
Eleni Bairaktari Greece View profile →
Citations per field, relative to Takashi Miida
Takashi Miida · 1×
Citations per year, relative to Takashi Miida
Takashi Miida · 1×

Countries citing papers authored by Takashi Miida

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Miida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Miida

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Miida. A scholar is included among the top collaborators of Takashi Miida 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 Takashi Miida. Takashi Miida 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 1
2 1
3 4
4 0
5 1
6 1
7 2
8 8
9 2
10 10
11 1
12 4
13 14
14 33
15 14
16 6
17 45
18 17
19
Effects of drug therapy on prevention of ischemic heart disease in patients with familial hypercholesterolemia
1
20 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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