Mina Aikawa

582 total citations
8 papers, 503 citations indexed

About

Mina Aikawa is a scholar working on Molecular Biology, Organic Chemistry and Pathology and Forensic Medicine. According to data from OpenAlex, Mina Aikawa has authored 8 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Mina Aikawa's work include Melanoma and MAPK Pathways (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Cancer-related gene regulation (3 papers). Mina Aikawa is often cited by papers focused on Melanoma and MAPK Pathways (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Cancer-related gene regulation (3 papers). Mina Aikawa collaborates with scholars based in United States and Switzerland. Mina Aikawa's co-authors include Jackie Papkoff, Wayne Szeto, Meredith Wright, Patrìcia A. D'Amore, Payman Amiri, Savithri Ramurthy, Abran Costales, Sharadha Subramanian, Enrique Escandón and Cynthia M. Shafer and has published in prestigious journals such as Cancer Research, Oncogene and Biochemical and Biophysical Research Communications.

In The Last Decade

Mina Aikawa

8 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mina Aikawa United States	8	430	79	74	41	35	8	503
Bartosz Tarkowski Poland	7	260 0.6×	78 1.0×	28 0.4×	27 0.7×	27 0.8×	9	366
C-T Yeh Taiwan	7	277 0.6×	75 0.9×	26 0.4×	26 0.6×	28 0.8×	7	389
P Tagliaferri Italy	7	305 0.7×	190 2.4×	38 0.5×	30 0.7×	24 0.7×	14	416
Padma L. Channavajhala United States	9	292 0.7×	92 1.2×	21 0.3×	34 0.8×	48 1.4×	9	372
Pu Yan China	8	399 0.9×	130 1.6×	91 1.2×	19 0.5×	19 0.5×	14	487
Heidrun Hirner Germany	10	272 0.6×	156 2.0×	37 0.5×	15 0.4×	12 0.3×	11	407
Suzanne I. Specht United States	10	475 1.1×	142 1.8×	20 0.3×	66 1.6×	39 1.1×	11	609
Laura Gianellini Italy	6	269 0.6×	152 1.9×	34 0.5×	19 0.5×	11 0.3×	10	384
Chonlarat Wichaidit United States	12	276 0.6×	43 0.5×	18 0.2×	33 0.8×	23 0.7×	15	418
Jeffrey Voss United States	8	328 0.8×	73 0.9×	33 0.4×	133 3.2×	66 1.9×	9	543

Countries citing papers authored by Mina Aikawa

Since Specialization

Citations

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

Fields of papers citing papers by Mina Aikawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mina Aikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Mina Aikawa. A scholar is included among the top collaborators of Mina Aikawa 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 Mina Aikawa. Mina Aikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Han, Wooseok, Yu Ding, Yongjin Xu, et al.. (2016). Discovery of a Selective and Potent Inhibitor of Mitogen-Activated Protein Kinase-Interacting Kinases 1 and 2 (MNK1/2) Utilizing Structure-Based Drug Design. Journal of Medicinal Chemistry. 59(7). 3034–3045. 15 indexed citations

Ramurthy, Savithri, Mina Aikawa, Payman Amiri, et al.. (2011). Design and synthesis of 5,6-fused heterocyclic amides as Raf kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 21(11). 3286–3289. 17 indexed citations

Ramurthy, Savithri, Sharadha Subramanian, Mina Aikawa, et al.. (2008). Design and Synthesis of Orally Bioavailable Benzimidazoles as Raf Kinase Inhibitors. Journal of Medicinal Chemistry. 51(22). 7049–7052. 72 indexed citations

Amiri, Payman, Mina Aikawa, Darrin D. Stuart, et al.. (2006). CHIR-265 is a potent selective inhibitor of c-Raf/B-Raf/mutB-Raf that effectively inhibits proliferation and survival of cancer cell lines with Ras/Raf pathway mutations. Cancer Research. 66. 1140–1140. 18 indexed citations

Xiang, Hong, Judith A. Fox, Klára Tótpál, et al.. (2002). Enhanced tumor killing by Apo2L/TRAIL and CPT-11 co-treatment is associated with p21 cleavage and differential regulation of Apo2L/TRAIL ligand and its receptors. Oncogene. 21(22). 3611–3619. 45 indexed citations

Wright, Meredith, Mina Aikawa, Wayne Szeto, & Jackie Papkoff. (1999). Identification of a Wnt-Responsive Signal Transduction Pathway in Primary Endothelial Cells. Biochemical and Biophysical Research Communications. 263(2). 384–388. 103 indexed citations

Aikawa, Mina, et al.. (1999). A secreted Frizzled related protein, FrzA, selectively associates with Wnt-1 protein and regulates Wnt-1 signaling. Journal of Cell Science. 112(21). 3815–3820. 74 indexed citations

Papkoff, Jackie & Mina Aikawa. (1998). WNT-1 and HGF Regulate GSK3β Activity and β-Catenin Signaling in Mammary Epithelial Cells. Biochemical and Biophysical Research Communications. 247(3). 851–858. 159 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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