Masako Tabata

1.2k citations
37 papers · 902 indexed · h-index 13

Impact in

Papers in

Masako Tabata

35 papers receiving 862 citations

Peers

Masako Tabata
Comparison fields: 5 of 121
  • Health, Toxicology and Mutagenesis 301
  • Developmental Neuroscience 58
  • Reproductive Medicine 79
  • Pollution 87
  • Materials Chemistry 298
Replace Ken Takeda with:
Ken Takeda Japan
James M. Donald United States
Yinyin Xia China
Young Ah Lee South Korea
Xiaogang Yu China
Lailai Yan China
Hoa H. Le United States
J. N. Finkelstein United States
Jaclyn M. Goodrich United States
Laura Dioni Italy
Masako Tabata relative to Ken Takeda Japan Ken Takeda's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Masako Tabata

Since Specialization
Citations

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

Fields of papers citing papers by Masako Tabata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Masako Tabata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Masako Tabata Line = papers co-authored together Masako Tabata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200830
2 2008136
3 20064
4 20011
5 200043
6
A 48-Hour Holter ECG Study in Migraineurs during Usual Daily Activities
19992
7 19973
8 19971
9 199742
10 199711
11 19963
12 199410
13
Serum gamma-glutamyl transferase level in predicting hypertension among male drinkers.
199458
14 19931
15 19921
16 199216
17 19904
18 19903
19 19883
20 19804

About Masako Tabata

Masako Tabata is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Pharmaceutical Science, Industrial and Manufacturing Engineering and Endocrine and Autonomic Systems, having authored 37 papers that have together received 902 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (3 papers), Wastewater Treatment and Nitrogen Removal (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Phosphorus and nutrient management (3 papers), Cardiovascular Syncope and Autonomic Disorders (2 papers), Aquatic Ecosystems and Phytoplankton Dynamics (2 papers) and Chemical Reactions and Isotopes (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (301 citations), Developmental Neuroscience (58 citations), Reproductive Medicine (79 citations), Pollution (87 citations) and Materials Chemistry (298 citations). Masako Tabata has collaborated with scholars based in Japan and Italy. Frequent co-authors include Miyoko Kubo‐Irie, Yoshimasa Nihei, Ken‐ichiro Suzuki, Masao Sugamata, Tomomi Ihara, Ken Takeda, Shigeru Oshio, Ken Takeda, Sukeo Onodera and Tomoko Komatsu. Their work appears in journals such as Bulletin of Environmental Contamination and Toxicology, Headache The Journal of Head and Face Pain, Journal of Chromatography A, Applied Surface Science and Cell and Tissue 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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