Benjamin Yeung

400 citations
9 papers · 310 · h-index 6

Impact in

  • Cell Biology top 10%
    • Hippo pathway signaling and YAP/TAZ
    • Cellular Mechanics and Interactions

Papers in

    • Cell death mechanisms and regulation 2
    • Ubiquitin and proteasome pathways 2
    • Metabolism, Diabetes, and Cancer 1
    • FOXO transcription factor regulation 1
    • Kruppel-like factors research 1
    • Hippo pathway signaling and YAP/TAZ 5

Benjamin Yeung

8 papers receiving 310 citations

Peers

Benjamin Yeung
Comparison fields: 5 of 47
  • Cell Biology 184
  • Aging 6
  • Molecular Biology 220
  • Oncology 68
  • Cancer Research 29
Replace Sung Jun Bae with:
Sung Jun Bae South Korea
Chiun-Jye Yuan Taiwan
Marı́a Ana Gómez-Ferrerı́a United States
Mariya Chhatriwala United Kingdom
Maria Sideridou Greece
John Peter McPherson Canada
Michael J. Peyton United States
Michal Shreberk‐Shaked Israel
Céline Franckhauser France
Michitaka Isoda Japan
Benjamin Yeung relative to Sung Jun Bae South Korea Sung Jun Bae's profile →
Citations per field
00.5×1.5×
Sung Jun Bae · 1×
Citations per year

Countries citing papers authored by Benjamin Yeung

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2018127
2 201370
3 201549
4 201324
5 201819
6 201918
7 19962
8 20141
9 20250

About Benjamin Yeung

Benjamin Yeung is a scholar working on Molecular Biology, Cell Biology, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 310 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (5 papers), Cell death mechanisms and regulation (2 papers), Ubiquitin and proteasome pathways (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Metabolism, Diabetes, and Cancer (1 paper), FOXO transcription factor regulation (1 paper), Kruppel-like factors research (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Cell Biology (184 citations), Aging (6 citations), Molecular Biology (220 citations), Oncology (68 citations) and Cancer Research (29 citations). Benjamin Yeung has collaborated with scholars based in Canada and United States. Frequent co-authors include Xiaolong Yang, Taha Azad, Helena J. Janse van Rensburg, Bertrand Neveu, Prem Khanal, Audrey Champagne, Abdi Ghaffari, Vanessa R. Kay, B. Anne Croy and Elizabeth D. Lightbody. Their work appears in journals such as Molecular Cancer Research, Scientific Reports, Nature Communications, International Journal of Cancer and Oncogene.

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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