Tsukuru Saito

9 total papers · 431 total citations
7 papers, 302 citations indexed

About

Tsukuru Saito is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tsukuru Saito has authored 7 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pediatrics, Perinatology and Child Health, 5 papers in Obstetrics and Gynecology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tsukuru Saito's work include Pregnancy and preeclampsia studies (5 papers), Birth, Development, and Health (4 papers) and Gestational Diabetes Research and Management (2 papers). Tsukuru Saito is often cited by papers focused on Pregnancy and preeclampsia studies (5 papers), Birth, Development, and Health (4 papers) and Gestational Diabetes Research and Management (2 papers). Tsukuru Saito collaborates with scholars based in United Kingdom, Japan and Norway. Tsukuru Saito's co-authors include Mark A. Hanson, Clare Steyn, Paul Hawkins, Takashi Ozaki, David E. Noakes, H H McGarrigle, D.E. Noakes, Nicole Calder, John‏ Kingdom and Svein Rasmussen and has published in prestigious journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Journal of Endocrinology and Ultrasound in Obstetrics and Gynecology.

In The Last Decade

Tsukuru Saito

7 papers receiving 295 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tsukuru Saito 238 157 41 39 39 7 302
Marta Durand-Carbajal 140 0.6× 100 0.6× 27 0.7× 11 0.3× 41 1.1× 10 332
Nancy D. Binder 140 0.6× 124 0.8× 37 0.9× 81 2.1× 27 0.7× 14 343
Christopher W. H. Rumball 256 1.1× 130 0.8× 53 1.3× 25 0.6× 56 1.4× 10 337
Sylvie Hauguel-deMouzon 177 0.7× 210 1.3× 29 0.7× 16 0.4× 34 0.9× 6 327
R.M. Walker 293 1.2× 169 1.1× 36 0.9× 11 0.3× 62 1.6× 8 323
Huei K. Meznarich 224 0.9× 171 1.1× 34 0.8× 26 0.7× 62 1.6× 11 340
Yan Jin 130 0.5× 197 1.3× 23 0.6× 6 0.2× 25 0.6× 7 294
G. P. Arora 165 0.7× 173 1.1× 21 0.5× 12 0.3× 45 1.2× 7 323
Christine McMillan 149 0.6× 135 0.9× 15 0.4× 26 0.7× 23 0.6× 12 307
EL Makowski 182 0.8× 94 0.6× 19 0.5× 50 1.3× 76 1.9× 9 305

Countries citing papers authored by Tsukuru Saito

Since Specialization
Citations

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

Fields of papers citing papers by Tsukuru Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsukuru Saito

This figure shows the co-authorship network connecting the top 25 collaborators of Tsukuru Saito. A scholar is included among the top collaborators of Tsukuru 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 Tsukuru Saito. Tsukuru Saito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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