Lining Liang

438 citations
23 papers · 346 · h-index 11

Impact in

Papers in

    • Neurogenesis and neuroplasticity mechanisms 6
    • Pluripotent Stem Cells Research 9
    • Epigenetics and DNA Methylation 6
    • CRISPR and Genetic Engineering 3
    • Renal and related cancers 3
    • Genomics and Chromatin Dynamics 2

Lining Liang

23 papers receiving 341 citations

Peers

Lining Liang
Comparison fields: 5 of 57
  • Developmental Neuroscience 27
  • Molecular Biology 195
  • Cancer Research 36
  • Oncology 59
  • Biotechnology 19
Replace Mahmud Uzzaman with:
Mahmud Uzzaman United States
Maurice Schallenberg Germany
Swetha J. Sundar United States
Chung-Che Wu Taiwan
Christine Gran Neurauter Norway
Charles Casper United States
Xiaoyu Zheng China
Karen A. Kennedy Canada
Lining Liang relative to Mahmud Uzzaman United States Mahmud Uzzaman's profile →
Citations per field
00.5×2×4×6×7.6×
Mahmud Uzzaman · 1×
Citations per year

Countries citing papers authored by Lining Liang

Since Specialization
Citations

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

Fields of papers citing papers by Lining Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Circulating anti-p53 antibodies in esophageal cancer patients are found predominantly in individuals with p53 core domain mutations in their tumors.
199668
2 201734
3 202028
4 201626
5 201625
6 201722
7 201518
8 202015
9 201914
10 202012
11 201611
12 201811
13 201610
14 202310
15 20169
16 20179
17 20187
18 20245
19 20234
20 20203

About Lining Liang

Lining Liang is a scholar working on Developmental Neuroscience, Molecular Biology, Cancer Research, Neurology and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 346 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), Epigenetics and DNA Methylation (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), CRISPR and Genetic Engineering (3 papers), Renal and related cancers (3 papers), Cancer Cells and Metastasis (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Developmental Neuroscience (27 citations), Molecular Biology (195 citations), Cancer Research (36 citations), Oncology (59 citations) and Biotechnology (19 citations). Lining Liang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hui Zheng, Hao Sun, Mengdan Zhang, Duanqing Pei, Jinlong Chen, Songwei He, Lilong Lin, W P Bennett, Nicolas Janin and Anning He. Their work appears in journals such as Cell Discovery, Journal of Biological Chemistry, The FASEB Journal, Cell & Bioscience and The EMBO Journal.

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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