Brian Hang

707 citations
10 papers · 588 indexed · h-index 7

Impact in

    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation
    • Hedgehog Signaling Pathway Studies
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis

Papers in

Brian Hang

10 papers receiving 581 citations

Peers

Brian Hang
Comparison fields: 5 of 65
  • Molecular Biology 489
  • Oncology 146
  • Pathology and Forensic Medicine 66
  • Cell Biology 42
  • Genetics 24
Replace Raymond J. Peroutka with:
Raymond J. Peroutka United States
Talmage Broadbent United States
Julie A. Wickenden United Kingdom
Petra Laspe Germany
Maike Schmitz Germany
Masayuki Miura Japan
Soo-Mi Kweon United States
Ji‐Yoon Ryu South Korea
Yisong Wang China
Jiun‐Sheng Chen United States
Brian Hang relative to Raymond J. Peroutka United States Raymond J. Peroutka's profile →
Citations per field
00.5×1.5×2.0×
Raymond J. Peroutka · 1×
Citations per year

Countries citing papers authored by Brian Hang

Since Specialization
Citations

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

Fields of papers citing papers by Brian Hang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2010397
2 201465
3 201453
4 201342
5 201813
6 20116
7 20256
8 20164
9 20161
10 20151

About Brian Hang

Brian Hang is a scholar working on Oncology, Small Animals, Molecular Biology, Pathology and Forensic Medicine and Immunology, having authored 10 papers that have together received 588 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (6 papers), Cancer-related gene regulation (3 papers), Hedgehog Signaling Pathway Studies (2 papers), CAR-T cell therapy research (2 papers), Immune Cell Function and Interaction (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Genetic factors in colorectal cancer (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Molecular Biology (489 citations), Oncology (146 citations), Pathology and Forensic Medicine (66 citations), Cell Biology (42 citations) and Genetics (24 citations). Brian Hang has collaborated with scholars based in United States and China. Frequent co-authors include Ethan Lee, Darren Orton, Laura A. Lee, Curtis A. Thorne, Kwangho Kim, Adrian Salic, Victor P. Ghidu, Kristin K. Jernigan, Bruce J. Melancon and David M. Miller. Their work appears in journals such as PLoS ONE, Blood, Bioorganic & Medicinal Chemistry, Journal of Cell Science and Developmental Cell.

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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