Noboru Egashira

33 total papers · 725 total citations
21 papers, 554 citations indexed

About

Noboru Egashira is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, Noboru Egashira has authored 21 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Noboru Egashira's work include Pituitary Gland Disorders and Treatments (9 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Neuroendocrine Tumor Research Advances (3 papers). Noboru Egashira is often cited by papers focused on Pituitary Gland Disorders and Treatments (9 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Neuroendocrine Tumor Research Advances (3 papers). Noboru Egashira collaborates with scholars based in Japan, United States and Israel. Noboru Egashira's co-authors include R. Yoshiyuki Osamura, Susumu Takekoshi, Akira Teramoto, Mao Takei, Sally A. Camper, Buffy S. Ellsworth, Colin M. Clay, Julie Cocquet, Takashi Miyakoshi and Naoko Sanno and has published in prestigious journals such as British Journal of Cancer, Molecular Endocrinology and Biology of Reproduction.

In The Last Decade

Noboru Egashira

21 papers receiving 544 citations

Author Peers

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

Author Last Decade Papers Cites
Noboru Egashira 271 247 92 92 79 21 554
Zhiyong Wang 370 1.4× 224 0.9× 64 0.7× 57 0.6× 73 0.9× 18 576
Tamar Eigler 217 0.8× 255 1.0× 72 0.8× 41 0.4× 64 0.8× 12 535
Jesse J. Savage 282 1.0× 300 1.2× 82 0.9× 213 2.3× 102 1.3× 23 657
Dolores Segura 141 0.5× 249 1.0× 152 1.7× 67 0.7× 46 0.6× 25 629
Jean-François Vanbellinghen 110 0.4× 149 0.6× 100 1.1× 73 0.8× 81 1.0× 18 541
Catarina Darnfors 169 0.6× 215 0.9× 162 1.8× 163 1.8× 37 0.5× 18 501
Heleen Roose 129 0.5× 196 0.8× 38 0.4× 32 0.3× 49 0.6× 13 572
Anne Rowzee 162 0.6× 327 1.3× 76 0.8× 102 1.1× 103 1.3× 15 624
Xuehua Ding 116 0.4× 238 1.0× 93 1.0× 21 0.2× 96 1.2× 30 540
Takao Susa 168 0.6× 334 1.4× 31 0.3× 156 1.7× 32 0.4× 36 513

Countries citing papers authored by Noboru Egashira

Since Specialization
Citations

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

Fields of papers citing papers by Noboru Egashira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noboru Egashira

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