Yuling Liu

597 citations
34 papers · 354 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Extracellular vesicles in disease
    • Genomics and Phylogenetic Studies
    • RNA modifications and cancer

Papers in

Yuling Liu

24 papers receiving 351 citations

Peers

Yuling Liu
Comparison fields: 5 of 92
  • Cancer Research 46
  • Molecular Biology 143
  • Plant Science 62
  • Rehabilitation 8
  • Agronomy and Crop Science 13
Replace Vasiliki Papalouka with:
Vasiliki Papalouka Greece
Yohko Suzuki Japan
Huiling Liu China
Ziyao Wang China
Honor L. Glenn United States
Radhika Joshi United States
Junjun Wang China
Yuxi Yang China
Wanqiu Ding China
Yuling Liu relative to Vasiliki Papalouka Greece Vasiliki Papalouka's profile →
Citations per field
00.5×10×14×
Vasiliki Papalouka · 1×
Citations per year

Countries citing papers authored by Yuling Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yuling Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202365
2 201343
3 202139
4 201537
5 201530
6 202322
7 202317
8 202314
9 202314
10 200912
11 202311
12 202211
13 201610
14 20245
15 20185
16 20243
17 20213
18 20242
19 20252
20 20242

About Yuling Liu

Yuling Liu is a scholar working on Molecular Biology, Plant Science, Cardiology and Cardiovascular Medicine, Organic Chemistry and Cognitive Neuroscience, having authored 34 papers that have together received 354 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (2 papers), Cancer-related gene regulation (2 papers), Traumatic Brain Injury Research (2 papers), Genomics and Phylogenetic Studies (2 papers), Crop Yield and Soil Fertility (1 paper), Soil and Water Nutrient Dynamics (1 paper), Online and Blended Learning (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cancer Research (46 citations), Molecular Biology (143 citations), Plant Science (62 citations), Rehabilitation (8 citations) and Agronomy and Crop Science (13 citations). Yuling Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shufang Liang, Hude Mao, Xiaojun Nie, Xia Zhao, Chunlei Tang, Xiaoyun Zeng, Cong Jiang, Linying Du, Bing Chen and Pengbo Yang. Their work appears in journals such as LWT, The Journal of Prevention of Alzheimer s Disease, Cerebral Cortex, The FASEB Journal and Diabetes Obesity and Metabolism.

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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