Ailing W. Scott

2.3k total citations
19 papers, 1.1k citations indexed

About

Ailing W. Scott is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Ailing W. Scott has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Cell Biology and 4 papers in Oncology. Recurrent topics in Ailing W. Scott's work include Hippo pathway signaling and YAP/TAZ (7 papers), Cancer-related gene regulation (6 papers) and Ubiquitin and proteasome pathways (3 papers). Ailing W. Scott is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (7 papers), Cancer-related gene regulation (6 papers) and Ubiquitin and proteasome pathways (3 papers). Ailing W. Scott collaborates with scholars based in United States, China and Japan. Ailing W. Scott's co-authors include Shumei Song, Jaffer A. Ajani, Randy L. Johnson, Soichiro Honjo, Qiongrong Chen, Jiankang Jin, Heath D. Skinner, Wayne L. Hofstetter, Mien‐Chie Hung and Lang Ma and has published in prestigious journals such as PLoS ONE, Cancer Research and Gut.

In The Last Decade

Ailing W. Scott

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ailing W. Scott United States 15 702 446 357 157 107 19 1.1k
Travis J. Yates United States 14 439 0.6× 217 0.5× 193 0.5× 183 1.2× 108 1.0× 21 717
Uta Kossatz-Boehlert Germany 14 951 1.4× 246 0.6× 689 1.9× 333 2.1× 117 1.1× 15 1.4k
Takeshi Motohara Japan 14 634 0.9× 143 0.3× 427 1.2× 333 2.1× 122 1.1× 29 1.1k
Jun Niu China 20 496 0.7× 184 0.4× 471 1.3× 360 2.3× 67 0.6× 43 1.2k
Edina Komlódi-Pásztor United States 9 439 0.6× 304 0.7× 319 0.9× 78 0.5× 58 0.5× 17 793
Mourad Sanhaji Germany 19 656 0.9× 492 1.1× 367 1.0× 132 0.8× 64 0.6× 37 962
Jian H. Song United States 20 977 1.4× 182 0.4× 387 1.1× 356 2.3× 221 2.1× 46 1.4k
Rafał Sądej Poland 18 560 0.8× 162 0.4× 339 0.9× 256 1.6× 86 0.8× 51 1.2k
Aprill Watanabe United States 8 359 0.5× 163 0.4× 428 1.2× 160 1.0× 73 0.7× 12 783
Kiyoko Kawahara Japan 16 359 0.5× 213 0.5× 182 0.5× 161 1.0× 71 0.7× 33 713

Countries citing papers authored by Ailing W. Scott

Since Specialization
Citations

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

Fields of papers citing papers by Ailing W. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ailing W. Scott. 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 Ailing W. Scott. The network helps show where Ailing W. Scott may publish in the future.

Co-authorship network of co-authors of Ailing W. Scott

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

All Works

19 of 19 papers shown
1.
Yoshimura, Katsuhiro, Gengyi Zou, Yibo Fan, et al.. (2024). HSP90 inhibitor AUY922 suppresses tumor growth and modulates immune response through YAP1-TEAD pathway inhibition in gastric cancer. Cancer Letters. 610. 217354–217354. 6 indexed citations
2.
Fan, Yibo, Shumei Song, Yuan Li, et al.. (2023). Galectin-3 Cooperates with CD47 to Suppress Phagocytosis and T-cell Immunity in Gastric Cancer Peritoneal Metastases. Cancer Research. 83(22). 3726–3738. 22 indexed citations
3.
Jin, Jiankang, Longfei Huo, Yibo Fan, et al.. (2023). A new intronic quantitative PCR method led to the discovery of transformation from human ascites to murine malignancy in a mouse model. Frontiers in Oncology. 13. 1062424–1062424. 2 indexed citations
4.
Dong, Xiaochuan, Shumei Song, Yuan Li, et al.. (2021). Loss of ARID1A activates mTOR signaling and SOX9 in gastric adenocarcinoma—rationale for targeting ARID1A deficiency. Gut. 71(3). 467–478. 21 indexed citations
5.
Jin, Jiankang, Yan Xu, Longfei Huo, et al.. (2020). An improved strategy for CRISPR/Cas9 gene knockout and subsequent wildtype and mutant gene rescue. PLoS ONE. 15(2). e0228910–e0228910. 20 indexed citations
6.
Li, Yuan, Shumei Song, Melissa Pool Pizzi, et al.. (2020). LncRNA PVT1 Is a Poor Prognosticator and Can Be Targeted by PVT1 Antisense Oligos in Gastric Adenocarcinoma. Cancers. 12(10). 2995–2995. 14 indexed citations
7.
Song, Shumei, Yuan Li, Yan Xu, et al.. (2020). Targeting Hippo coactivator YAP1 through BET bromodomain inhibition in esophageal adenocarcinoma. Molecular Oncology. 14(6). 1410–1426. 32 indexed citations
8.
Song, Shumei, Zhenning Wang, Yuan Li, et al.. (2019). PPARδ Interacts with the Hippo Coactivator YAP1 to Promote SOX9 Expression and Gastric Cancer Progression. Molecular Cancer Research. 18(3). 390–402. 23 indexed citations
9.
Harada, Kazuto, Shumei Song, Yan Xu, et al.. (2018). Abstract 288: Genomic profiling of metastatic gastric adenocarcinoma. Cancer Research. 78(13_Supplement). 288–288. 1 indexed citations
10.
Song, Shumei, Min Xie, Ailing W. Scott, et al.. (2017). A Novel YAP1 Inhibitor Targets CSC-Enriched Radiation-Resistant Cells and Exerts Strong Antitumor Activity in Esophageal Adenocarcinoma. Molecular Cancer Therapeutics. 17(2). 443–454. 141 indexed citations
11.
Song, Shumei, Soichiro Honjo, Jiankang Jin, et al.. (2015). The Hippo Coactivator YAP1 Mediates EGFR Overexpression and Confers Chemoresistance in Esophageal Cancer. Clinical Cancer Research. 21(11). 2580–2590. 200 indexed citations
12.
Chen, Qiongrong, Shumei Song, Shaozhong Wei, et al.. (2015). ABT-263 induces apoptosis and synergizes with chemotherapy by targeting stemness pathways in esophageal cancer. Oncotarget. 6(28). 25883–25896. 33 indexed citations
13.
Song, Shumei, Jaffer A. Ajani, Soichiro Honjo, et al.. (2014). Hippo Coactivator YAP1 Upregulates SOX9 and Endows Esophageal Cancer Cells with Stem-like Properties. Cancer Research. 74(15). 4170–4182. 211 indexed citations
14.
Honjo, Soichiro, Jaffer A. Ajani, Ailing W. Scott, et al.. (2014). Metformin sensitizes chemotherapy by targeting cancer stem cells and the mTOR pathway in esophageal cancer. International Journal of Oncology. 45(2). 567–574. 99 indexed citations
15.
Ajani, Jaffer A., Xiaoliang Wang, Shumei Song, et al.. (2013). ALDH‐1 expression levels predict response or resistance to preoperative chemoradiation in resectable esophageal cancer patients. Molecular Oncology. 8(1). 142–149. 83 indexed citations
16.
Kuroda, Shinji, Tomohisa Yokoyama, Justina Tam, et al.. (2012). Multifunctional Tumor-Targeted Nanoparticles for Lung Cancer. 15–44. 1 indexed citations
17.
Gopal, Y.N. Vashisht, et al.. (2011). Role and therapeutic potential of PI3K‐mTOR signaling in de novo resistance to BRAF inhibition. Pigment Cell & Melanoma Research. 25(2). 248–258. 79 indexed citations
18.
Yokoyama, Tomohisa, Justina Tam, Shinji Kuroda, et al.. (2011). EGFR-Targeted Hybrid Plasmonic Magnetic Nanoparticles Synergistically Induce Autophagy and Apoptosis in Non-Small Cell Lung Cancer Cells. PLoS ONE. 6(11). e25507–e25507. 82 indexed citations
19.

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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