Liang Schweizer

2.6k citations
33 papers · 1.7k · h-index 15

Impact in

    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation
    • Developmental Biology and Gene Regulation
    • Epigenetics and DNA Methylation
    • Kruppel-like factors research
    • RNA Research and Splicing
  • Aging top 10%

Papers in

    • Wnt/β-catenin signaling in development and cancer 8
    • Cancer-related gene regulation 7
    • Developmental Biology and Gene Regulation 5
    • Single-cell and spatial transcriptomics 3
    • Protein Degradation and Inhibitors 2
    • CAR-T cell therapy research 4

Liang Schweizer

29 papers receiving 1.7k citations

Peers

Liang Schweizer
Comparison fields: 5 of 111
  • Molecular Biology 1.4k
  • Aging 33
  • Cell Biology 254
  • Cellular and Molecular Neuroscience 159
  • Genetics 214
Replace Laura Buttitta with:
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Citations per field
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Citations per year

Countries citing papers authored by Liang Schweizer

Since Specialization
Citations

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

Fields of papers citing papers by Liang Schweizer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997423
2 2004289
3 1998164
4 2004123
5 2003103
6 200898
7 202186
8 201572
9 201468
10 199568
11 200363
12 200938
13 200333
14 200131
15 201418
16 20166
17 20176
18 19985
19 20115
20
Functional studies of the protein 4.1 family of junctional proteins in Drosophila.
19975

About Liang Schweizer

Liang Schweizer is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (8 papers), Cancer-related gene regulation (7 papers), Computational Drug Discovery Methods (5 papers), Developmental Biology and Gene Regulation (5 papers), CAR-T cell therapy research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Single-cell and spatial transcriptomics (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Aging (33 citations), Cell Biology (254 citations), Cellular and Molecular Neuroscience (159 citations) and Genetics (214 citations). Liang Schweizer has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Harold Varmus, Feng Cong, Konrad Basler, Erich Brunner, O Péter, Rebecca Lamb, Robert E. Ward, Richard G. Fehon, Mario Chamorro and Marco M. Gottardis. Their work appears in journals such as Cancer Research, Drug Discovery Today, SLAS DISCOVERY, BMC Cell Biology and Proceedings of the National Academy of Sciences.

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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