Mie Kuroiwa

22 total papers · 433 total citations
17 papers, 351 citations indexed

About

Mie Kuroiwa is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Mie Kuroiwa has authored 17 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Physiology and 3 papers in Surgery. Recurrent topics in Mie Kuroiwa's work include Telomeres, Telomerase, and Senescence (5 papers), Alzheimer's disease research and treatments (4 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers). Mie Kuroiwa is often cited by papers focused on Telomeres, Telomerase, and Senescence (5 papers), Alzheimer's disease research and treatments (4 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers). Mie Kuroiwa collaborates with scholars based in Japan, Canada and Portugal. Mie Kuroiwa's co-authors include Robert Kisilevsky, Sadayuki Inoué, Tatsuo Shinozuka, Yasuyuki Nomura, Koji Tomobe, António Guimarães, Maria João Saraiva, Masayuki Abe, Tetsuo Kodaka and Kenichi Nakamura and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Brain Research Reviews and Gene.

In The Last Decade

Mie Kuroiwa

17 papers receiving 340 citations

Author Peers

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

Author Last Decade Papers Cites
Mie Kuroiwa 194 163 50 45 32 17 351
A Györfi 89 0.5× 108 0.7× 24 0.5× 5 0.1× 26 0.8× 12 335
Monique David 120 0.6× 106 0.7× 14 0.3× 5 0.1× 39 1.2× 18 356
Peng Lin 145 0.7× 35 0.2× 14 0.3× 11 0.2× 15 0.5× 23 323
Elena Fanti 125 0.6× 62 0.4× 12 0.2× 8 0.2× 18 0.6× 17 368
T. F. Wienker 259 1.3× 46 0.3× 23 0.5× 16 0.4× 6 0.2× 18 385
Kun Xia 149 0.8× 18 0.1× 12 0.2× 12 0.3× 30 0.9× 21 308
Angela Tewari 54 0.3× 23 0.1× 65 1.3× 13 0.3× 9 0.3× 20 356
Ronny Mohren 183 0.9× 139 0.9× 60 1.2× 2 0.0× 8 0.3× 24 392
Etsuko Matsuzaki 249 1.3× 37 0.2× 65 1.3× 3 0.1× 11 0.3× 23 360
Motoyoshi Satoh 80 0.4× 20 0.1× 18 0.4× 15 0.3× 12 0.4× 16 366

Countries citing papers authored by Mie Kuroiwa

Since Specialization
Citations

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

Fields of papers citing papers by Mie Kuroiwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mie Kuroiwa

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