Miwa Washida

15 total papers · 1.1k total citations
15 papers, 869 citations indexed

About

Miwa Washida is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Miwa Washida has authored 15 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Surgery and 4 papers in Immunology. Recurrent topics in Miwa Washida's work include Angiogenesis and VEGF in Cancer (4 papers), RNA Interference and Gene Delivery (3 papers) and Cellular transport and secretion (3 papers). Miwa Washida is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), RNA Interference and Gene Delivery (3 papers) and Cellular transport and secretion (3 papers). Miwa Washida collaborates with scholars based in Japan, United States and Poland. Miwa Washida's co-authors include Masataka Sata, Ryozo Nagai, Masatoshi Makuuchi, Yasunobu Hirata, Takeshi Natori, Teiichi Furuichi, Tetsushi Sadakata, Ritsuko Katoh‐Semba, Shigeyoshi Itohara and Mika Tanaka and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Neuroscience and Cancer Research.

In The Last Decade

Miwa Washida

15 papers receiving 854 citations

Author Peers

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

Author Last Decade Papers Cites
Miwa Washida 467 202 186 142 142 15 869
Hiroaki Kanki 591 1.3× 99 0.5× 91 0.5× 231 1.6× 145 1.0× 15 889
Songhui Li 606 1.3× 102 0.5× 152 0.8× 256 1.8× 116 0.8× 20 973
Joanna Pucilowska 441 0.9× 213 1.1× 130 0.7× 117 0.8× 339 2.4× 25 939
Marjelo A. Mines 559 1.2× 98 0.5× 94 0.5× 161 1.1× 319 2.2× 14 934
Léo Aubert 293 0.6× 200 1.0× 148 0.8× 92 0.6× 73 0.5× 24 859
Colin P. Glover 503 1.1× 163 0.8× 65 0.3× 328 2.3× 140 1.0× 26 962
Éric Deneault 527 1.1× 76 0.4× 112 0.6× 77 0.5× 149 1.0× 23 795
Karl‐Hermann Schlingensiepen 516 1.1× 218 1.1× 76 0.4× 269 1.9× 65 0.5× 23 820
Orly Perl 383 0.8× 102 0.5× 151 0.8× 267 1.9× 72 0.5× 15 849
G Fossati 257 0.6× 139 0.7× 309 1.7× 167 1.2× 83 0.6× 30 830

Countries citing papers authored by Miwa Washida

Since Specialization
Citations

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

Fields of papers citing papers by Miwa Washida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miwa Washida

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