Rie Aruga

400 citations
8 papers · 337 · h-index 7

Impact in

Papers in

    • Ubiquitin and proteasome pathways 5
    • Glycosylation and Glycoproteins Research 3
    • RNA and protein synthesis mechanisms 2
    • Genomics and Phylogenetic Studies 1
    • Protein purification and stability 1
    • Biochemical and Molecular Research 1
    • Peptidase Inhibition and Analysis 5

Rie Aruga

8 papers receiving 332 citations

Peers

Rie Aruga
Comparison fields: 5 of 43
  • Cell Biology 81
  • Hematology 47
  • Molecular Biology 274
  • Oncology 95
  • Cancer Research 47
Replace David Michod with:
David Michod United Kingdom
T.P. Skelton United States
R Basu United States
Kuicheon Choi United States
Julia B. Scheerer United States
Antonella Di Costanzo Italy
Yoshiki Sumitomo Japan
María Guillamot United States
Todd D. Westergard United States
Satoko Shimamura United States
Rie Aruga relative to David Michod United Kingdom David Michod's profile →
Citations per field
00.5×3.1×
David Michod · 1×
Citations per year

Countries citing papers authored by Rie Aruga

Since Specialization
Citations

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

Fields of papers citing papers by Rie Aruga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 198985
2 199071
3 199247
4 199047
5 199046
6 199025
7 202115
8 20251

About Rie Aruga

Rie Aruga is a scholar working on Molecular Biology, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 8 papers that have together received 337 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Peptidase Inhibition and Analysis (5 papers), Glycosylation and Glycoproteins Research (3 papers), Galectins and Cancer Biology (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (1 paper), Protein purification and stability (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Cell Biology (81 citations), Hematology (47 citations), Molecular Biology (274 citations), Oncology (95 citations) and Cancer Research (47 citations). Rie Aruga has collaborated with scholars based in Japan. Frequent co-authors include Sadaaki Iwanaga, Akira Ichihara, Fuminori Tokunaga, Atsushi Kumatori, Tsutomu Fujiwara, Keiji Tanaka, Tetsuro Yoshimura, Sadahito Shin, Tomohiro Tamura and M.C. Guillin. Their work appears in journals such as Biochemistry, FEBS Letters, Biochemical and Biophysical Research Communications, Acta Crystallographica Section D Structural Biology and Science Advances.

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.

Explore authors with similar magnitude of impact