Debby Hynx

2.3k citations
20 papers · 1.9k · h-index 18

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 6
    • Protein Kinase Regulation and GTPase Signaling 3
    • Metabolism, Diabetes, and Cancer 2
    • ATP Synthase and ATPases Research 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Mitochondrial Function and Pathology 2
    • Hippo pathway signaling and YAP/TAZ 5

Debby Hynx

20 papers receiving 1.9k citations

Peers

Debby Hynx
Comparison fields: 5 of 93
  • Obstetrics and Gynecology 217
  • Cell Biology 343
  • Molecular Biology 1.2k
  • Cancer Research 188
  • Immunology 222
Replace Toshifumi Takahashi with:
Toshifumi Takahashi Japan
Akiko Kimura Japan
Yuval Yung Israel
Pascale Ribaux Switzerland
Katsuhiko Yasuda Japan
Susan C. Kiley United States
Meng Kian Tee United States
Ping Xu China
Luke W. Thomas United Kingdom
Junji Mitsushita Japan
Debby Hynx relative to Toshifumi Takahashi Japan Toshifumi Takahashi's profile →
Citations per field
00.5×3.4×
Toshifumi Takahashi · 1×
Citations per year

Countries citing papers authored by Debby Hynx

Since Specialization
Citations

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

Fields of papers citing papers by Debby Hynx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Debby Hynx, 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 Debby Hynx Line = papers co-authored together Debby Hynx links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2008334
2 2008318
3 2006217
4 2004217
5 2012178
6 2015102
7 200861
8 201559
9 201458
10 201055
11 200954
12 201249
13 201436
14 201835
15 200728
16 201523
17 201223
18 200917
19 201416
20 20143

About Debby Hynx

Debby Hynx is a scholar working on Molecular Biology, Cell Biology, Genetics, Cellular and Molecular Neuroscience and Oncology, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (6 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Metabolism, Diabetes, and Cancer (2 papers), ATP Synthase and ATPases Research (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Obstetrics and Gynecology (217 citations), Cell Biology (343 citations), Molecular Biology (1.2k citations), Cancer Research (188 citations) and Immunology (222 citations). Debby Hynx has collaborated with scholars based in Switzerland, United Kingdom and Italy. Frequent co-authors include Brian A. Hemmings, Bettina Dümmler, Oliver Tschopp, Stephan Dirnhofer, Zhongzhou Yang, Hong‐wa Yung, D. Stephen Charnock‐Jones, Irene Cetin, Stefania Calabrese and Graham J. Burton. Their work appears in journals such as PLoS ONE, Molecular and Cellular Biology, Science Signaling, Cancer Discovery and Liver International.

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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