Miyako Ariga

14 total papers · 1.6k total citations
13 papers, 1.3k citations indexed

About

Miyako Ariga is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Miyako Ariga has authored 13 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Surgery. Recurrent topics in Miyako Ariga's work include Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Miyako Ariga is often cited by papers focused on Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Miyako Ariga collaborates with scholars based in Japan, United States and France. Miyako Ariga's co-authors include S.-L. Catherine Jin, Marco Conti, You‐Qiang Su, Taku Nedachi, Shin‐Ichiro Takahashi, Fumihiko Hakuno, Makoto Kanzaki, Claude Bertrand, Susumu Nakae and Masakazu Akahori and has published in prestigious journals such as Science, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Miyako Ariga

13 papers receiving 1.3k citations

Hit Papers

EGF-Like Growth Factors A... 2004 2026 2011 2018 2004 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Miyako Ariga 735 575 470 217 157 13 1.3k
JoAnne S. Richards 753 1.0× 729 1.3× 579 1.2× 336 1.5× 375 2.4× 23 1.6k
Emilia Middea 368 0.5× 459 0.8× 636 1.4× 95 0.4× 299 1.9× 15 1.3k
Rajareddy Singareddy 870 1.2× 667 1.2× 467 1.0× 161 0.7× 149 0.9× 8 1.3k
George C. Enders 393 0.5× 712 1.2× 552 1.2× 108 0.5× 315 2.0× 24 1.4k
Krishna Jagarlamudi 1.1k 1.5× 747 1.3× 596 1.3× 165 0.8× 228 1.5× 10 1.4k
M Antczak 681 0.9× 527 0.9× 453 1.0× 160 0.7× 113 0.7× 11 1.2k
Mayi Arcellana‐Panlilio 323 0.4× 670 1.2× 136 0.3× 265 1.2× 169 1.1× 23 1.3k
Tommi Vaskivuo 628 0.9× 669 1.2× 814 1.7× 271 1.2× 530 3.4× 26 1.7k
S L Fitzpatrick 308 0.4× 717 1.2× 180 0.4× 216 1.0× 497 3.2× 11 1.4k
Nancy L. Bossert 583 0.8× 521 0.9× 373 0.8× 251 1.2× 330 2.1× 12 1.2k

Countries citing papers authored by Miyako Ariga

Since Specialization
Citations

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

Fields of papers citing papers by Miyako Ariga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miyako Ariga

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