Wei‐Ching Liang

3.8k citations
31 papers · 2.0k indexed · h-index 17

Impact in

Papers in

Wei‐Ching Liang

30 papers receiving 1.8k citations

Peers

Wei‐Ching Liang
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 440
  • Oncology 622
  • Cancer Research 322
  • Molecular Biology 1.4k
  • Radiology, Nuclear Medicine and Imaging 462
Replace Angela A. Vitali with:
Angela A. Vitali Australia
Sarajane Ross United States
Yvan H. Chanthery United States
Mallika Singh United States
Fréderic Fina France
Richard A. Klinghoffer United States
Jennifer S. Yu United States
F. Bellot United States
Bodour Salhia United States
Fonnet E. Bleeker Netherlands
Wei‐Ching Liang relative to Angela A. Vitali Australia Angela A. Vitali's profile →
Citations per field
00.5×3.9×
Angela A. Vitali · 1×
Citations per year

Countries citing papers authored by Wei‐Ching Liang

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Ching Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 202415
3 20231
4 20232
5 202040
6 202012
7 201928
8 201849
9 201516
10 201418
11 201225
12 200917
13 200950
14
Blocking of DLL4/Notch signaling deregulates tumor angiogenesis
20071
15 2007425
16 200697
17 2005153
18 2005282
19 2004177
20 2004228

About Wei‐Ching Liang

Wei‐Ching Liang is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Immunology and Allergy, Molecular Biology and Hematology, having authored 31 papers that have together received 2.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), Glycosylation and Glycoproteins Research (8 papers), Angiogenesis and VEGF in Cancer (8 papers), TGF-β signaling in diseases (4 papers), Phagocytosis and Immune Regulation (4 papers), Galectins and Cancer Biology (4 papers), Axon Guidance and Neuronal Signaling (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (440 citations), Oncology (622 citations), Cancer Research (322 citations), Molecular Biology (1.4k citations) and Radiology, Nuclear Medicine and Imaging (462 citations). Wei‐Ching Liang has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Germaine Fuh, Chingwei V. Lee, Napoleone Ferrara, Charles Eigenbrot, Franklin Peale, Hans‐Peter Gerber, Scott Stawicki, Yan Wu, Joe Kowalski and Anil Bagri. Their work appears in journals such as mAbs, The EMBO Journal, Toxicological Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

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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