Masako Shimojo

431 citations
15 papers · 360 · h-index 8

Impact in

Papers in

    • Hormonal Regulation and Hypertension 4
    • Pituitary Gland Disorders and Treatments 2
    • Diabetes Management and Research 1
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients 1
    • Hormonal and reproductive studies 1
    • Adrenal and Paraganglionic Tumors 3

Masako Shimojo

13 papers receiving 348 citations

Peers

Masako Shimojo
Comparison fields: 5 of 65
  • Endocrinology, Diabetes and Metabolism 224
  • Behavioral Neuroscience 27
  • Analytical Chemistry 41
  • Pharmacology 29
  • Pharmacology 47
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Ji‐Qing Wei United States
Roscoe M. Hersey United States
J. Grace van der Gugten Canada
Brian G. Brownsey United Kingdom
Bo Lumholtz Denmark
H.-J. Dulce Germany
C. M. Kagawa United States
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Masako Shimojo relative to Ji‐Qing Wei United States Ji‐Qing Wei's profile →
Citations per field
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Citations per year

Countries citing papers authored by Masako Shimojo

Since Specialization
Citations

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

Fields of papers citing papers by Masako Shimojo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Masako Shimojo, 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 Shimojo Line = papers co-authored together Masako Shimojo links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 199788
2 199775
3 200163
4 199238
5 199530
6 198920
7 200720
8 20109
9 20016
10 20094
11 19914
12 20012
13 20101
14 20150
15 19910

About Masako Shimojo

Masako Shimojo is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Genetics and Spectroscopy, having authored 15 papers that have together received 360 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (4 papers), Adrenal and Paraganglionic Tumors (3 papers), Analytical Methods in Pharmaceuticals (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Analytical Chemistry and Chromatography (2 papers), Diabetes Management and Research (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (224 citations), Behavioral Neuroscience (27 citations), Analytical Chemistry (41 citations), Pharmacology (29 citations) and Pharmacology (47 citations). Masako Shimojo has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Paul M. Stewart, Iwona Bujalska, Yukinori Kawahara, Jenny Nobes, Márta Korbonits, Hajime Ueshiba, Ashley Grossman, Suzanne Jordan, Alexander J. Howie and Gerald D. Johnson. Their work appears in journals such as Diabetes Technology & Therapeutics, Journal of Hepato-Biliary-Pancreatic Surgery, The Journal of Clinical Endocrinology & Metabolism, Biomedical Chromatography and Steroids.

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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