Masako Tabata

1.2k citations
38 papers · 959 · h-index 14

Impact in

Papers in

Masako Tabata

36 papers receiving 909 citations

Peers

Masako Tabata
Comparison fields: 5 of 119
  • Health, Toxicology and Mutagenesis 305
  • Developmental Neuroscience 59
  • Reproductive Medicine 81
  • Pollution 99
  • Materials Chemistry 322
Replace Ken Takeda with:
Ken Takeda Japan
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Katarzyna Piotrowska Poland
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Masako Tabata relative to Ken Takeda Japan Ken Takeda's profile →
Citations per field
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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-authors

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

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009320
2 2008144
3 199996
4
Serum gamma-glutamyl transferase level in predicting hypertension among male drinkers.
199459
5 199954
6 200044
7 200832
8 200029
9 200828
10 199218
11 198017
12 200815
13 199413
14 198413
15 199711
16 199410
17 20087
18 19935
19 20065
20 19904

About Masako Tabata

Masako Tabata is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Cardiology and Cardiovascular Medicine, Surgery and Industrial and Manufacturing Engineering, having authored 38 papers that have together received 959 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (3 papers), Phosphorus and nutrient management (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Wastewater Treatment and Nitrogen Removal (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Endometriosis Research and Treatment (2 papers), Aquatic Ecosystems and Phytoplankton Dynamics (2 papers) and Cardiovascular Syncope and Autonomic Disorders (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (305 citations), Developmental Neuroscience (59 citations), Reproductive Medicine (81 citations), Pollution (99 citations) and Materials Chemistry (322 citations). Masako Tabata has collaborated with scholars based in Japan, Italy and Spain. Frequent co-authors include Miyoko Kubo‐Irie, Ken‐ichiro Suzuki, Yoshimasa Nihei, 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, Journal of Chromatography A, Headache The Journal of Head and Face Pain, Scandinavian Journal of Work Environment & Health 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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