Kei Nakata

780 citations
33 papers · 564 indexed · h-index 11
Topics
Cardiac Imaging and Diagnostics (7 papers)Liver Disease Diagnosis and Treatment (5 papers)Cardiovascular Function and Risk Factors (5 papers)
Partner nations
JapanUnited States

In The Last Decade

Kei Nakata

27 papers receiving 557 citations

Peers

Kei Nakata
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 253
  • Molecular Biology 234
  • Surgery 159
  • Cardiology and Cardiovascular Medicine 111
  • Epidemiology 101
Replace Vadim V. Klimontov with:
Vadim V. Klimontov Russia
Maximilian Kopp Germany
Gaetana Albanese Italy
Poorna R. Karuparthi United States
Maxime Pellegrin Switzerland
Raphaela P. Kerindongo Netherlands
Camille Marciniak France
H. J. Arnqvist Sweden
Dalia El-Lebedy Egypt
Wing‐Sun Chow Hong Kong
Kei Nakata relative to Vadim V. Klimontov Russia Vadim V. Klimontov's profile →
Citations per field
00.5×1.5×
Vadim V. Klimontov · 1×
Citations per year

Countries citing papers authored by Kei Nakata

Since Specialization
Citations

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

Fields of papers citing papers by Kei Nakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kei Nakata

This figure shows the co-authorship network connecting the top 25 collaborators of Kei Nakata. A scholar is included among the top collaborators of Kei Nakata 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 Kei Nakata. Kei Nakata 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 2
4 0
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7 0
8 0
9 1
10 6
11 4
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13 3
14 8
15 1
16 103
17 29
18 17
19 42
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Abstract 17519: Distinct Impacts of Sleep-disordered Breathing on Glycemic Variability in Patients With and Without Heart Failure
1

About Kei Nakata

Kei Nakata is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 564 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Liver Disease Diagnosis and Treatment (5 papers) and Cardiovascular Function and Risk Factors (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (253 citations), Cardiology and Cardiovascular Medicine (111 citations) and Nephrology (34 citations). Kei Nakata has collaborated with scholars based in Japan and United States. Frequent co-authors include Takayuki Miki, Tetsuji Miura, Masaya Tanno, Toshiyuki Yano, Tatsuya Sato, Yukishige Kimura, Atsushi Kuno, H Oshima, Masashi Mizuno and Koki Abe. Their work appears in journals such as Circulation, PLoS ONE and Scientific Reports.

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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