Tetsuo Sakai

3.8k citations
91 papers · 2.2k indexed · h-index 27
Topics
Genetic Neurodegenerative Diseases (18 papers)Peroxisome Proliferator-Activated Receptors (13 papers)Mitochondrial Function and Pathology (11 papers)
Partner nations
JapanUnited StatesNorway

In The Last Decade

Tetsuo Sakai

86 papers receiving 2.1k citations

Peers

Tetsuo Sakai
Comparison fields: 5 of 107
  • Molecular Biology 830
  • Cellular and Molecular Neuroscience 825
  • Neurology 423
  • Surgery 315
  • Cardiology and Cardiovascular Medicine 288
Replace Kim‐Hanh Le Quan Sang with:
Kim‐Hanh Le Quan Sang France
Yoshio Ikeda Japan
Stephan Zierz Germany
Bror Jonzon Sweden
Suzanne de la Monte United States
Su Yuan China
Lars‐Ove Farnebo Sweden
Kortaro Tanaka Japan
Giulia Bellini Italy
Norio Ohkoshi Japan
Tetsuo Sakai relative to Kim‐Hanh Le Quan Sang France Kim‐Hanh Le Quan Sang's profile →
Citations per field
00.5×1.5×2.4×
Kim‐Hanh Le Quan Sang · 1×
Citations per year

Countries citing papers authored by Tetsuo Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuo Sakai

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuo Sakai. A scholar is included among the top collaborators of Tetsuo Sakai 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 Tetsuo Sakai. Tetsuo Sakai 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 5
2 43
3
0
4 45
5 5
6 77
7
Coronary sinus-Anatomy and clinical implications
0
8 4
9 76
10 1
11
FRS-103 Eosinophils may have potential to promote occlusive thrombus in acute coronary syndrome : histological and immunohistochemical analysis(Acute Coronary Syndrome (IHD) : FRS13)(Featured Research Session (English))
2
12 24
13 17
14 73
15 13
16 155
17 7
18 9
19 4
20 25

About Tetsuo Sakai

Tetsuo Sakai is a scholar working on Cellular and Molecular Neuroscience, Neurology and Clinical Biochemistry, having authored 91 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (18 papers), Peroxisome Proliferator-Activated Receptors (13 papers) and Mitochondrial Function and Pathology (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (825 citations), Neurology (423 citations) and Biological Psychiatry (68 citations). Tetsuo Sakai has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include M. Tatsumi, Hiroshi Kunugi, Shinichiro Nanko, Tadafumi Kato, T Hirose, Mineko Hattori, Hidekazu Ota, Ikuo Goto, Takashi Katagiri and T. Sasaki. Their work appears in journals such as The Lancet, Circulation and Circulation Research.

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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