Hayato Tada

8.0k citations
244 papers · 4.2k indexed · h-index 32
Topics
Lipoproteins and Cardiovascular Health (126 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (47 papers)Cancer, Lipids, and Metabolism (43 papers)
Partner nations
JapanUnited StatesSweden

In The Last Decade

Hayato Tada

224 papers receiving 4.2k citations

Peers

Hayato Tada
Comparison fields: 5 of 124
  • Surgery 1.9k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Endocrinology, Diabetes and Metabolism 827
  • Infectious Diseases 801
  • Molecular Biology 652
Replace Peter Fraunberger with:
Peter Fraunberger Austria
Jérôme Boursier France
Federico Vázquez Spain
M.E.I. Schipper Netherlands
Patrizia Moser Austria
Sacha Zeerleder Netherlands
Gilles Hayem France
Wayne L. Miller United States
Go Wakabayashi Japan
S Stanzel Germany
Hayato Tada relative to Peter Fraunberger Austria Peter Fraunberger's profile →
Citations per field
00.5×4.0×
Peter Fraunberger · 1×
Citations per year

Countries citing papers authored by Hayato Tada

Since Specialization
Citations

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

Fields of papers citing papers by Hayato Tada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hayato Tada

This figure shows the co-authorship network connecting the top 25 collaborators of Hayato Tada. A scholar is included among the top collaborators of Hayato 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 Hayato Tada. Hayato 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
#WorkIndexed citations
1 0
2 0
3 0
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5 4
6 1
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8 9
9 1
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11 9
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13 4
14 25
15 8
16
日本人家族性高コレステロール血症におけるLDL受容体遺伝子の病原性突然変異のカタログ【JST・京大機械翻訳】
1
17 13
18 1
19 5
20 64

About Hayato Tada

Hayato Tada is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery, having authored 244 papers that have together received 4.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (126 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (47 papers) and Cancer, Lipids, and Metabolism (43 papers). The work is most often cited by research in Microbiology (443 citations), Cardiology and Cardiovascular Medicine (1.3k citations) and Endocrinology, Diabetes and Metabolism (827 citations). Hayato Tada has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Masa‐aki Kawashiri, Atsushi Nohara, Masakazu Yamagishi, Hiroshi Mabuchi, Akihiro Inazu, Masayuki Takamura, Kenshi Hayashi, Jun‐ichi Takanashi, A. James Barkovich and Akihiro Nomura. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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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