Masaaki Sawa

155 total papers · 2.1k total citations
71 papers, 1.6k citations indexed

About

Masaaki Sawa is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Masaaki Sawa has authored 71 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 17 papers in Oncology and 16 papers in Organic Chemistry. Recurrent topics in Masaaki Sawa's work include Chronic Lymphocytic Leukemia Research (13 papers), Melanoma and MAPK Pathways (12 papers) and Protein Kinase Regulation and GTPase Signaling (7 papers). Masaaki Sawa is often cited by papers focused on Chronic Lymphocytic Leukemia Research (13 papers), Melanoma and MAPK Pathways (12 papers) and Protein Kinase Regulation and GTPase Signaling (7 papers). Masaaki Sawa collaborates with scholars based in Japan, United States and United Kingdom. Masaaki Sawa's co-authors include Chi‐Huey Wong, Sarah R. Hanson, Tsui-Ling Hsu, Tesshi Yamada, Mari Masuda, Masakazu Sugiyama, Peter K. Vogt, Takeshi Itoh, Sheng‐Kai Wang and Kuniyuki Kishikawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Masaaki Sawa

67 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Masaaki Sawa 1.1k 702 272 208 130 71 1.6k
Joseph Schoepfer 1.5k 1.4× 529 0.8× 467 1.7× 136 0.7× 97 0.7× 43 2.0k
Lian‐Sheng Li 1.4k 1.2× 311 0.4× 554 2.0× 167 0.8× 103 0.8× 49 1.9k
M. V. Ramana Reddy 931 0.8× 734 1.0× 487 1.8× 113 0.5× 110 0.8× 80 2.1k
Giorgio Caravatti 1.5k 1.3× 659 0.9× 711 2.6× 149 0.7× 105 0.8× 45 2.3k
Jinfeng Luo 622 0.6× 418 0.6× 330 1.2× 124 0.6× 71 0.5× 55 1.4k
Ion Niculescu‐Duvaz 926 0.8× 433 0.6× 378 1.4× 179 0.9× 78 0.6× 68 1.5k
Alex G. Waterson 1.6k 1.4× 648 0.9× 494 1.8× 91 0.4× 118 0.9× 56 2.3k
Yuanxiang Wang 1.3k 1.1× 819 1.2× 375 1.4× 110 0.5× 115 0.9× 86 2.2k
Lee D. Arnold 1.1k 1.0× 492 0.7× 540 2.0× 90 0.4× 103 0.8× 37 1.9k
Neil Moss 1.1k 1.0× 623 0.9× 363 1.3× 87 0.4× 100 0.8× 34 1.7k

Countries citing papers authored by Masaaki Sawa

Since Specialization
Citations

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

Fields of papers citing papers by Masaaki Sawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaaki Sawa

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