Ailing W. Scott

2.3k citations
19 papers · 1.1k · h-index 15

Impact in

    • Hippo pathway signaling and YAP/TAZ
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

    • Cancer-related gene regulation 6
    • Wnt/β-catenin signaling in development and cancer 3
    • Ubiquitin and proteasome pathways 3
    • CRISPR and Genetic Engineering 2
    • Hippo pathway signaling and YAP/TAZ 7

Ailing W. Scott

18 papers receiving 1.1k citations

Peers

Ailing W. Scott
Comparison fields: 5 of 77
  • Cell Biology 446
  • Oncology 357
  • Cancer Research 157
  • Molecular Biology 702
  • Immunology 77
Replace Mourad Sanhaji with:
Mourad Sanhaji Germany
Kathryn E. Aziz United States
Catherine F. Welsh United States
Jian H. Song United States
Aprill Watanabe United States
Uta Kossatz-Boehlert Germany
Fangjie Yan China
Takeshi Motohara Japan
Jinxiang Tan China
Alan Guichard France
Ailing W. Scott relative to Mourad Sanhaji Germany Mourad Sanhaji's profile →
Citations per field
00.5×1.5×1.9×
Mourad Sanhaji · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ailing W. Scott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ailing W. Scott Line = papers co-authored together Ailing W. Scott links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2014211
2 2015200
3 2017141
4 201499
5 201383
6 201182
7 201179
8 201533
9 202032
10 201923
11 202322
12 202121
13 202020
14 200720
15 202014
16 20246
17 20232
18 20121
19 20181

About Ailing W. Scott

Ailing W. Scott is a scholar working on Molecular Biology, Cell Biology, Oncology, Surgery and Cancer Research, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (7 papers), Cancer-related gene regulation (6 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Ubiquitin and proteasome pathways (3 papers), Nanoparticle-Based Drug Delivery (2 papers), CRISPR and Genetic Engineering (2 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cell Biology (446 citations), Oncology (357 citations), Cancer Research (157 citations), Molecular Biology (702 citations) and Immunology (77 citations). Ailing W. Scott has collaborated with scholars based in United States, China and Taiwan. Frequent 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. Their work appears in journals such as Cancer Research, Molecular Oncology, PLoS ONE, Molecular Cancer Therapeutics and Clinical Cancer Research.

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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