Long Liao

887 total citations · 2 hit papers
13 papers, 640 citations indexed

About

Long Liao is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Long Liao has authored 13 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Epidemiology. Recurrent topics in Long Liao's work include RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related gene regulation (3 papers). Long Liao is often cited by papers focused on RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related gene regulation (3 papers). Long Liao collaborates with scholars based in China, Hong Kong and Netherlands. Long Liao's co-authors include Bin Li, Yan He, Yuan‐Han Yang, Qing‐Yu He, Ziting Yao, Miaomiao Sun, Kuisheng Chen, Can‐Can Zheng, Qihua Zhang and Wen Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Advanced Science.

In The Last Decade

Long Liao

12 papers receiving 638 citations

Hit Papers

New insights into the interplay between long non‐coding R... 2022 2026 2023 2024 2022 2023 50 100 150

Peers

Long Liao
Comparison fields: 5 of 69
  • Molecular Biology 522
  • Cancer Research 290
  • Oncology 107
  • Epidemiology 62
  • Pulmonary and Respiratory Medicine 50
Replace Mengqin Shen with:
Mengqin Shen China
Yeyang Xu China
Amanda Hutchins United States
Jung‐Yu Kan Taiwan
Boyun Shi China
Rongfu Tu China
Yanqing Wu China
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Mengqin Shen China View profile →
Citations per field, relative to Long Liao
Long Liao · 1×
Citations per year, relative to Long Liao
Long Liao · 1×

Countries citing papers authored by Long Liao

Since Specialization
Citations

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

Fields of papers citing papers by Long Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Long Liao. A scholar is included among the top collaborators of Long Liao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Long Liao. Long Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 5
3
Lysine 2-hydroxyisobutyrylation of NAT10 promotes cancer metastasis in an ac4C-dependent manner breakdown →
98
4 14
5 72
6 13
7
New insights into the interplay between long non‐coding RNAs and RNA‐binding proteins in cancer breakdown →
181
8 67
9 27
10 42
11 5
12 46
13 70

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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