Toshiki Maeda

1.3k total citations
89 papers, 653 citations indexed

About

Toshiki Maeda is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Toshiki Maeda has authored 89 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Epidemiology, 22 papers in Cardiology and Cardiovascular Medicine and 20 papers in Surgery. Recurrent topics in Toshiki Maeda's work include Blood Pressure and Hypertension Studies (13 papers), Liver Disease Diagnosis and Treatment (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Toshiki Maeda is often cited by papers focused on Blood Pressure and Hypertension Studies (13 papers), Liver Disease Diagnosis and Treatment (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Toshiki Maeda collaborates with scholars based in Japan, United States and Australia. Toshiki Maeda's co-authors include Akira Babazono, Hisatomi Arima, Kazuhiro Tada, Tetsuhiko Yasuno, Takuya Imatoh, Koji Takahashi, Chikara Yoshimura, Kenji Ito, Kosuke Masutani and Hitoshi Nakashima and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Toshiki Maeda

80 papers receiving 640 citations

Peers

Toshiki Maeda
Comparison fields: 5 of 94
  • Epidemiology 182
  • Surgery 161
  • Cardiology and Cardiovascular Medicine 140
  • Endocrinology, Diabetes and Metabolism 107
  • Molecular Biology 85
Replace Huei‐Kai Huang with:
Huei‐Kai Huang Taiwan
Susanne Rospleszcz Germany
Audra Boscoe United States
Zekeriya Kaya Türkiye
Wenke Cheng China
Rong Yang China
Jan Duława Poland
Ömer Onur Çakır Türkiye
Adam Morton Australia
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Huei‐Kai Huang Taiwan View profile →
Citations per field, relative to Toshiki Maeda
Toshiki Maeda · 1×
Citations per year, relative to Toshiki Maeda
Toshiki Maeda · 1×

Countries citing papers authored by Toshiki Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Toshiki Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshiki Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Toshiki Maeda. A scholar is included among the top collaborators of Toshiki Maeda 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 Toshiki Maeda. Toshiki Maeda 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
# Work Indexed citations
1 0
2 1
3 11
4 3
5 0
6 6
7 2
8 2
9 2
10 24
11 14
12 13
13 4
14 2
15 3
16 17
17 3
18 15
19 0
20 2

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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