Masaaki Sawa

2.1k total citations
71 papers, 1.6k citations indexed

About

Masaaki Sawa is a scholar working on Molecular Biology, Organic Chemistry and Oncology. 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 Organic Chemistry and 17 papers in Oncology. 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 Curacao. Masaaki Sawa's co-authors include Tsui-Ling Hsu, Sarah R. Hanson, Chi‐Huey Wong, Tesshi Yamada, Mari Masuda, Takeshi Itoh, Masakazu Sugiyama, Peter K. Vogt, Kuniyuki Kishikawa and Sheng‐Kai Wang 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

66 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Masaaki Sawa Japan 19 1.1k 706 270 206 128 71 1.6k
Lian‐Sheng Li United States 19 1.4k 1.2× 314 0.4× 557 2.1× 167 0.8× 103 0.8× 49 1.9k
Joseph Schoepfer Switzerland 24 1.5k 1.4× 532 0.8× 470 1.7× 137 0.7× 97 0.8× 43 2.0k
M. V. Ramana Reddy United States 23 933 0.8× 733 1.0× 488 1.8× 115 0.6× 111 0.9× 80 2.1k
Richard A. Norman United Kingdom 18 1.0k 0.9× 325 0.5× 269 1.0× 141 0.7× 61 0.5× 26 1.5k
Robert S. Kania United States 16 1.6k 1.4× 908 1.3× 474 1.8× 195 0.9× 125 1.0× 23 2.4k
Giorgio Caravatti Switzerland 26 1.5k 1.3× 660 0.9× 713 2.6× 149 0.7× 105 0.8× 45 2.3k
Irwin Hollander United States 29 1.3k 1.2× 851 1.2× 501 1.9× 342 1.7× 284 2.2× 46 2.4k
Matthew B. Soellner United States 20 1.6k 1.4× 984 1.4× 276 1.0× 334 1.6× 34 0.3× 48 2.0k
Raymond E. Moellering United States 20 2.1k 1.9× 542 0.8× 448 1.7× 158 0.8× 58 0.5× 40 2.7k
Stuart L. Emanuel United States 24 763 0.7× 765 1.1× 565 2.1× 141 0.7× 73 0.6× 42 1.9k

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

20 of 20 papers shown
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Mukai, Kojiro, Koichiro M. Hirosawa, Y. Uchida, et al.. (2024). Single-molecule localization microscopy reveals STING clustering at the trans-Golgi network through palmitoylation-dependent accumulation of cholesterol. Nature Communications. 15(1). 220–220. 37 indexed citations
3.
Moritsugu, Kei, et al.. (2024). Conserved gatekeeper methionine regulates the binding and access of kinase inhibitors to ATP sites of MAP2K1, 4, and 7: Clues for developing selective inhibitors. Bioorganic & Medicinal Chemistry Letters. 112. 129914–129914. 1 indexed citations
4.
Hanada, Mitsuharu, et al.. (2024). Design and synthesis of novel thiazole-derivatives as potent ALK5 inhibitors. Bioorganic & Medicinal Chemistry Letters. 108. 129797–129797. 3 indexed citations
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Sugiyama, Hajime, et al.. (2023). Low entropic cost of binding confers high selectivity on an allosteric ERK2 inhibitor. Bioorganic & Medicinal Chemistry Letters. 93. 129431–129431. 1 indexed citations
7.
Masuda, Mari, Teppei Sugano, Naoko Goto, et al.. (2021). Direct conversion of osteosarcoma to adipocytes by targeting TNIK. JCI Insight. 6(3). 15 indexed citations
8.
Nakajima, Fumio, et al.. (2021). Identification of an allosteric and Smad3-selective inhibitor of p38αMAPK using a substrate-based approach. Bioorganic & Medicinal Chemistry Letters. 43. 128056–128056. 3 indexed citations
9.
Sugano, Teppei, Mari Masuda, Fumitaka Takeshita, et al.. (2020). Pharmacological blockage of transforming growth factor-β signalling by a Traf2- and Nck-interacting kinase inhibitor, NCB-0846. British Journal of Cancer. 124(1). 228–236. 20 indexed citations
10.
Furuya, Noritaka, Takaki Momose, Kenji Katsuno, et al.. (2019). An isoform-selective inhibitor of tropomyosin receptor kinase A behaves as molecular glue. Bioorganic & Medicinal Chemistry Letters. 30(1). 126775–126775. 3 indexed citations
11.
Ito, Sayuri, Hidemasa Goto, Mayumi Shindo, et al.. (2019). Cdc7 kinase stimulates Aurora B kinase in M-phase. Scientific Reports. 9(1). 18622–18622. 12 indexed citations
12.
Uitdehaag, Joost C.M., Jeroen A.D.M. de Roos, Martine B.W. Prinsen, et al.. (2018). Combined Cellular and Biochemical Profiling to Identify Predictive Drug Response Biomarkers for Kinase Inhibitors Approved for Clinical Use between 2013 and 2017. Molecular Cancer Therapeutics. 18(2). 470–481. 20 indexed citations
13.
Kinoshita, Takayoshi, et al.. (2017). High-resolution structure discloses the potential for allosteric regulation of mitogen-activated protein kinase kinase 7. Biochemical and Biophysical Research Communications. 493(1). 313–317. 7 indexed citations
14.
Sawa, Masaaki, et al.. (2017). 7-Azaindole: A Versatile Scaffold for Developing Kinase Inhibitors. Chemical and Pharmaceutical Bulletin. 66(1). 29–36. 63 indexed citations
15.
Uitdehaag, Joost C.M., Jeroen A.D.M. de Roos, Martine B.W. Prinsen, et al.. (2016). Cell Panel Profiling Reveals Conserved Therapeutic Clusters and Differentiates the Mechanism of Action of Different PI3K/mTOR, Aurora Kinase and EZH2 Inhibitors. Molecular Cancer Therapeutics. 15(12). 3097–3109. 12 indexed citations
16.
Masuda, Mari, Yuko Uno, Naomi Ohbayashi, et al.. (2016). TNIK inhibition abrogates colorectal cancer stemness. Nature Communications. 7(1). 12586–12586. 128 indexed citations
17.
Sawa, Masaaki, et al.. (2015). TR-FRET binding assay targeting unactivated form of Bruton’s tyrosine kinase. Bioorganic & Medicinal Chemistry Letters. 25(10). 2033–2036. 4 indexed citations
18.
Sawa, Masaaki, Tsui-Ling Hsu, Takeshi Itoh, et al.. (2006). Glycoproteomic probes for fluorescent imaging of fucosylated glycans in vivo. Proceedings of the National Academy of Sciences. 103(33). 12371–12376. 337 indexed citations
19.
Sawa, Masaaki, et al.. (2005). Tryptamine-based human β3-adrenergic receptor agonists. Part 3: Improved oral bioavailability via modification of the sulfonamide moiety. Bioorganic & Medicinal Chemistry Letters. 15(4). 1061–1064. 8 indexed citations
20.
Sawa, Masaaki, Kenji Ogino, & Waichiro Tagaki. (1996). Reactivities and Site-Selectivities of Hydrolyses of ATP and UTP Promoted by Metal Complexes of Adenine-Linked Di-2-pyridylamine Derivatives. Bulletin of the Chemical Society of Japan. 69(3). 765–774. 1 indexed citations

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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