Mariko Sue

43 total papers · 708 total citations
29 papers, 574 citations indexed

About

Mariko Sue is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology. According to data from OpenAlex, Mariko Sue has authored 29 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Mariko Sue's work include Thyroid Disorders and Treatments (6 papers), Hormonal Regulation and Hypertension (5 papers) and Adrenal Hormones and Disorders (5 papers). Mariko Sue is often cited by papers focused on Thyroid Disorders and Treatments (6 papers), Hormonal Regulation and Hypertension (5 papers) and Adrenal Hormones and Disorders (5 papers). Mariko Sue collaborates with scholars based in Japan, Germany and United Kingdom. Mariko Sue's co-authors include Stefan R. Bornstein, Waldemar Kanczkowski, Aya Yoshihara, Koichi Suzuki, Takeshi Akama, Naoki Hiroi, Yuko Ishido, Kazunari Tanigawa, Norihisa Ishii and Huhehasi Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Mariko Sue

29 papers receiving 561 citations

Author Peers

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

Author Last Decade Papers Cites
Mariko Sue 278 162 95 90 80 29 574
Holger Henneicke 174 0.6× 247 1.5× 47 0.5× 57 0.6× 63 0.8× 22 683
Toshiharu Onodera 137 0.5× 137 0.8× 114 1.2× 97 1.1× 167 2.1× 29 567
Jiandong Zhang 192 0.7× 130 0.8× 81 0.9× 130 1.4× 60 0.8× 22 648
Pelayo González 92 0.3× 209 1.3× 95 1.0× 128 1.4× 64 0.8× 23 694
Alisa D. Kjærgaard 153 0.6× 239 1.5× 69 0.7× 76 0.8× 74 0.9× 34 670
Yasumi Shintani 157 0.6× 284 1.8× 80 0.8× 54 0.6× 56 0.7× 18 622
Tina Kienitz 329 1.2× 122 0.8× 106 1.1× 18 0.2× 77 1.0× 35 545
Behiye Özcan 151 0.5× 135 0.8× 87 0.9× 31 0.3× 75 0.9× 31 523
Karin Hengst 156 0.6× 117 0.7× 166 1.7× 30 0.3× 110 1.4× 40 656
Farshad Forouzandeh 92 0.3× 140 0.9× 47 0.5× 58 0.6× 82 1.0× 17 511

Countries citing papers authored by Mariko Sue

Since Specialization
Citations

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

Fields of papers citing papers by Mariko Sue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariko Sue

This figure shows the co-authorship network connecting the top 25 collaborators of Mariko Sue. A scholar is included among the top collaborators of Mariko Sue 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 Mariko Sue. Mariko Sue 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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