Norio Tada

798 total citations
22 papers, 617 citations indexed

About

Norio Tada is a scholar working on Epidemiology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Norio Tada has authored 22 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Surgery and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Norio Tada's work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Lipoproteins and Cardiovascular Health (5 papers) and Cancer, Lipids, and Metabolism (4 papers). Norio Tada is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Lipoproteins and Cardiovascular Health (5 papers) and Cancer, Lipids, and Metabolism (4 papers). Norio Tada collaborates with scholars based in Japan and United States. Norio Tada's co-authors include Hidekatsu Yanai, Masahiro Sato, Kazuhiro Kasai, Shyoso OGAWA, Hiroshi Yoshida, Yoshiharu Tomono, Kumie Ito, Nobuyuki Furutani, Takamitsu Nakano and Katsuyuki Nakajima and has published in prestigious journals such as Carcinogenesis, Clinica Chimica Acta and Atherosclerosis.

In The Last Decade

Norio Tada

22 papers receiving 598 citations

Peers

Norio Tada
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 173
  • Public Health, Environmental and Occupational Health 168
  • Epidemiology 136
  • Surgery 133
  • Reproductive Medicine 132
Replace Luis Carlos Olivar with:
Luis Carlos Olivar Venezuela
Welmoed Reitsma Netherlands
Susan Gelding United Kingdom
Natascha Schweighofer Austria
Tao Tao China
H. P. Zahradnik Germany
Ismail H. Kocar Türkiye
Byung-Koo Yoon South Korea
Jong Kil Joo South Korea
Wenqiang Zhang China
Luis Carlos Olivar Venezuela View profile →
Citations per field, relative to Norio Tada
Norio Tada · 1×
Citations per year, relative to Norio Tada
Norio Tada · 1×

Countries citing papers authored by Norio Tada

Since Specialization
Citations

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

Fields of papers citing papers by Norio Tada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norio Tada

This figure shows the co-authorship network connecting the top 25 collaborators of Norio Tada. A scholar is included among the top collaborators of Norio Tada 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 Norio Tada. Norio Tada 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 12
2 2
3 3
4 18
5 8
6 39
7 23
8 12
9
[Fibrates, clinical use and their effects].
2
10 24
11 18
12 122
13 6
14 4
15 38
16
[Remnant-like particles-cholesterol (RLP-C) assay and its clinical application to lipid tests in a postprandial as well as fasting state].
12
17 42
18 11
19 170
20 18

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026