Maki Saito

2.6k total citations
99 papers, 2.0k citations indexed

About

Maki Saito is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maki Saito has authored 99 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 24 papers in Physiology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maki Saito's work include Nitric Oxide and Endothelin Effects (15 papers), Eicosanoids and Hypertension Pharmacology (9 papers) and Inflammatory mediators and NSAID effects (7 papers). Maki Saito is often cited by papers focused on Nitric Oxide and Endothelin Effects (15 papers), Eicosanoids and Hypertension Pharmacology (9 papers) and Inflammatory mediators and NSAID effects (7 papers). Maki Saito collaborates with scholars based in Japan, Germany and Canada. Maki Saito's co-authors include Kunio Ishii, Tsutomu Nakahara, Kenji Sakamoto, Yoshiyuki Tanabe, Koichi Nakayama, Asami Mori, Toshikatsu Koga, Ajit J. Thakkar, Makoto Katori and Michiko Ogino and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Chemistry and Brain Research.

In The Last Decade

Maki Saito

94 papers receiving 2.0k citations

Peers

Maki Saito
Comparison fields: 5 of 141
  • Molecular Biology 774
  • Physiology 387
  • Ophthalmology 217
  • Epidemiology 199
  • Oncology 198
Replace Teresa L.Z. Jones with:
Teresa L.Z. Jones United States
Chaohong Li China
Russell C. Scaduto United States
Yang Zhao China
Giancarlo Solaini Italy
Isabel M. Carreira Portugal
Alessandra Baracca Italy
Toshiaki Okuno Japan
Hongyan Dong China
Ignasi Barba Spain
Teresa L.Z. Jones United States View profile →
Citations per field, relative to Maki Saito
Maki Saito · 1×
Citations per year, relative to Maki Saito
Maki Saito · 1×

Countries citing papers authored by Maki Saito

Since Specialization
Citations

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

Fields of papers citing papers by Maki Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maki Saito

This figure shows the co-authorship network connecting the top 25 collaborators of Maki Saito. A scholar is included among the top collaborators of Maki Saito 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 Maki Saito. Maki Saito 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 2
2 0
3 26
4 22
5 26
6 6
7 20
8 9
9 1
10 24
11 21
12 2
13 23
14 6
15 35
16 1
17 69
18 29
19 37
20 27

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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