Wanlin Liu

2.7k citations
77 papers · 1.3k · h-index 20

Impact in

  • Aging top 10%
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Wanlin Liu

71 papers receiving 1.2k citations

Peers

Wanlin Liu
Comparison fields: 5 of 138
  • Aging 34
  • Cancer Research 237
  • Endocrine and Autonomic Systems 92
  • Orthopedics and Sports Medicine 85
  • Rehabilitation 59
Replace Marcus D. Goncalves with:
Marcus D. Goncalves United States
Rong Wang China
Chunlian Zhang United States
Xiao‐Bo Liao China
Javad Tavakkoly‐Bazzaz Iran
Hongming Zhu China
Po‐Chun Chen Taiwan
Anargyros Xenocostas Canada
Wanlin Liu relative to Marcus D. Goncalves United States Marcus D. Goncalves's profile →
Citations per field
00.5×6.5×
Marcus D. Goncalves · 1×
Citations per year

Countries citing papers authored by Wanlin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Wanlin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018124
2 201685
3 201378
4 201774
5 201867
6 201460
7 201957
8 202154
9 200847
10 202243
11 202237
12 201932
13 201929
14 201826
15 201925
16 202122
17 201722
18 201621
19 201720
20 201920

About Wanlin Liu

Wanlin Liu is a scholar working on Molecular Biology, Surgery, Oncology, Cancer Research and Rheumatology, having authored 77 papers that have together received 1.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (7 papers), Cancer-related molecular mechanisms research (7 papers), Bone and Joint Diseases (5 papers), Hip disorders and treatments (4 papers), RNA modifications and cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), MicroRNA in disease regulation (4 papers) and Bone health and treatments (4 papers). The work is most often cited by research in Aging (34 citations), Cancer Research (237 citations), Endocrine and Autonomic Systems (92 citations), Orthopedics and Sports Medicine (85 citations) and Rehabilitation (59 citations). Wanlin Liu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Bei Zhen, Rui Bai, Zhenqun Zhao, Chen Ding, Jun Qin, Lipeng Chen, Lei Song, Fuchu He, Dong Li and Quan Zhou. Their work appears in journals such as Molecular & Cellular Proteomics, Oncotarget, Journal of Orthopaedic Surgery and Research, Frontiers in Oncology and Nature 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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