Kangyan Liang

408 citations
15 papers · 317 · h-index 9

Impact in

    • Liver physiology and pathology
    • Bone health and treatments
    • Cancer Cells and Metastasis

Papers in

    • Wnt/β-catenin signaling in development and cancer 2
    • Pluripotent Stem Cells Research 1
    • Bone health and treatments 2
    • Polyomavirus and related diseases 1

Kangyan Liang

15 papers receiving 315 citations

Peers

Kangyan Liang
Comparison fields: 5 of 63
  • Hepatology 29
  • Oncology 82
  • Cancer Research 38
  • Molecular Biology 175
  • Orthopedics and Sports Medicine 19
Replace Sabrina Priam with:
Sabrina Priam France
Tzu-Ching Chang Taiwan
Jeffrey Choi United States
Zhaojie Lyu China
Yi‐Wen Chang Taiwan
Xiaojuan Shi China
Courtney König Germany
Kizito Njah Singapore
Kangyan Liang relative to Sabrina Priam France Sabrina Priam's profile →
Citations per field
00.5×
Sabrina Priam · 1×
Citations per year

Countries citing papers authored by Kangyan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Kangyan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201767
2 201950
3 201641
4 201935
5 201830
6 201622
7 202117
8 202116
9 202215
10 20228
11 20226
12 20254
13 20233
14 20222
15 20241

About Kangyan Liang

Kangyan Liang is a scholar working on Molecular Biology, Oncology, Cancer Research, Hepatology and Epidemiology, having authored 15 papers that have together received 317 indexed citations. Recurring topics across this work include Liver physiology and pathology (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Bone health and treatments (2 papers), 3D Printing in Biomedical Research (2 papers), Tuberous Sclerosis Complex Research (2 papers), Pluripotent Stem Cells Research (1 paper), Polyomavirus and related diseases (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Hepatology (29 citations), Oncology (82 citations), Cancer Research (38 citations), Molecular Biology (175 citations) and Orthopedics and Sports Medicine (19 citations). Kangyan Liang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yue Zhang, Xiaochun Bai, Yi Gao, Song Xu, Kai Li, Jun Weng, Daozhang Cai, Qing Peng, Yu Jiang and Shao Li. Their work appears in journals such as Journal of Bone and Mineral Research, Cellular Signalling, Environmental Toxicology, Frontiers in Bioengineering and Biotechnology and Journal of Biological Chemistry.

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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