Liping Ye

3.5k citations
79 papers · 2.3k · h-index 28

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Circular RNAs in diseases
    • Cancer-related gene regulation

Papers in

    • Wnt/β-catenin signaling in development and cancer 9
    • Epigenetics and DNA Methylation 7
    • RNA Research and Splicing 6
    • MicroRNA in disease regulation 7

Liping Ye

73 papers receiving 2.2k citations

Peers

Liping Ye
Comparison fields: 5 of 128
  • Cancer Research 535
  • Molecular Biology 1.3k
  • Catalysis 125
  • Oncology 459
  • Cell Biology 213
Replace Ganesh Venkatraman with:
Ganesh Venkatraman India
Yugang Liu China
Zhaoming Li China
Xiaoyu Liang China
Meng Yang China
Xiaoping Wang China
Hongyi Zhang China
Se Bok Jang South Korea
Gonghui Li China
Xudong Wang China
Liping Ye relative to Ganesh Venkatraman India Ganesh Venkatraman's profile →
Citations per field
00.5×1.5×2.5×
Ganesh Venkatraman · 1×
Citations per year

Countries citing papers authored by Liping Ye

Since Specialization
Citations

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

Fields of papers citing papers by Liping Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007174
2 2012153
3 2018140
4 201789
5 201078
6 201477
7 201276
8 202271
9 202166
10 201962
11 201262
12 201761
13 202060
14 201758
15 201851
16 202150
17 201649
18 201546
19 201846
20 201745

About Liping Ye

Liping Ye is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Pulmonary and Respiratory Medicine, having authored 79 papers that have together received 2.3k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (9 papers), Cancer Cells and Metastasis (8 papers), Epigenetics and DNA Methylation (7 papers), Prostate Cancer Treatment and Research (7 papers), MicroRNA in disease regulation (7 papers), RNA Research and Splicing (6 papers), Hippo pathway signaling and YAP/TAZ (6 papers) and Catalytic Processes in Materials Science (6 papers). The work is most often cited by research in Cancer Research (535 citations), Molecular Biology (1.3k citations), Catalysis (125 citations), Oncology (459 citations) and Cell Biology (213 citations). Liping Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chuyong Lin, Libing Song, Xin Zhang, Xianqiu Wu, Xing‐Can Shen, Hong Liang, Shu‐Biao Wu, Jun Li, Dong Ren and Yingrong Lai. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Oncogene, Cancer Letters, Frontiers in Genetics and Biochemical and Biophysical Research Communications.

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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