Masahiro Asada

183 total papers · 3.8k total citations
106 papers, 3.1k citations indexed

About

Masahiro Asada is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Masahiro Asada has authored 106 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 20 papers in Neurology and 14 papers in Oncology. Recurrent topics in Masahiro Asada's work include Fibroblast Growth Factor Research (19 papers), Intracranial Aneurysms: Treatment and Complications (12 papers) and Glycosylation and Glycoproteins Research (11 papers). Masahiro Asada is often cited by papers focused on Fibroblast Growth Factor Research (19 papers), Intracranial Aneurysms: Treatment and Complications (12 papers) and Glycosylation and Glycoproteins Research (11 papers). Masahiro Asada collaborates with scholars based in Japan, Australia and United States. Masahiro Asada's co-authors include Toru Imamura, Masashi Suzuki, Junko Oki, Syuichi Oka, Yuko Oda, Emi Honda, Yoshigoro Kuroiwa, Miho Kimura, Yuriko Uehara and Mitsuko Kawano and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Masahiro Asada

104 papers receiving 3.0k citations

Hit Papers

Apoptosis inhibitory acti... 1999 2026 2008 2017 1999 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Masahiro Asada 1.6k 547 377 314 309 106 3.1k
J. Lester Gabrilove 999 0.6× 353 0.6× 204 0.5× 259 0.8× 483 1.6× 104 3.2k
Bent Brachvogel 1.6k 1.0× 257 0.5× 428 1.1× 628 2.0× 166 0.5× 83 3.5k
Igor Prudovsky 2.3k 1.4× 435 0.8× 448 1.2× 496 1.6× 160 0.5× 95 3.4k
Calvin Vary 2.4k 1.5× 690 1.3× 359 1.0× 311 1.0× 304 1.0× 126 4.4k
Yu Liu 1.4k 0.9× 320 0.6× 126 0.3× 183 0.6× 222 0.7× 131 2.9k
Melpo Christofidou‐Solomidou 2.0k 1.3× 507 0.9× 539 1.4× 778 2.5× 456 1.5× 110 5.3k
François‐Xavier Maquart 1.1k 0.7× 409 0.7× 896 2.4× 246 0.8× 127 0.4× 104 3.2k
Jun Sato 1.8k 1.1× 1.2k 2.3× 325 0.9× 262 0.8× 85 0.3× 168 4.7k
Qing Xiao 2.0k 1.2× 563 1.0× 180 0.5× 312 1.0× 423 1.4× 87 3.7k
Kiyotaka Hitomi 1.1k 0.7× 344 0.6× 804 2.1× 223 0.7× 351 1.1× 122 3.1k

Countries citing papers authored by Masahiro Asada

Since Specialization
Citations

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

Fields of papers citing papers by Masahiro Asada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiro Asada

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