Liling Zhao

484 citations
19 papers · 359 · h-index 10

Impact in

    • Wound Healing and Treatments
  • Genetics top 10%
    • Mesenchymal stem cell research
    • Diabetes and associated disorders

Papers in

    • Pancreatic function and diabetes 2
    • Mesenchymal stem cell research 5

Liling Zhao

19 papers receiving 354 citations

Peers

Liling Zhao
Comparison fields: 5 of 66
  • Rehabilitation 66
  • Genetics 80
  • Endocrinology, Diabetes and Metabolism 94
  • Cancer Research 40
  • Biomaterials 29
Replace Yaqi Yin with:
Yaqi Yin China
Jieqing Gao China
In‐Soon Shin South Korea
Zhengju Fu China
Denizhan Ozdemir United States
Christine F. Poliks United States
Takatoshi Sato Japan
Zhanhong Liu China
Qihong Ni China
Liling Zhao relative to Yaqi Yin China Yaqi Yin's profile →
Citations per field
00.5×10×13×
Yaqi Yin · 1×
Citations per year

Countries citing papers authored by Liling Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Liling Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201369
2 201552
3 201352
4 202036
5 202032
6 202027
7 201719
8 201415
9 201913
10 202111
11 20218
12 20207
13 20217
14 20214
15 20142
16 20222
17 20181
18 20181
19 20181

About Liling Zhao

Liling Zhao is a scholar working on Surgery, Genetics, Endocrinology, Diabetes and Metabolism, Physiology and Molecular Biology, having authored 19 papers that have together received 359 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Salivary Gland Disorders and Functions (4 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Liver Diseases and Immunity (2 papers), Wound Healing and Treatments (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Immune Cell Function and Interaction (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Rehabilitation (66 citations), Genetics (80 citations), Endocrinology, Diabetes and Metabolism (94 citations), Cancer Research (40 citations) and Biomaterials (29 citations). Liling Zhao has collaborated with scholars based in China and United States. Frequent co-authors include Zhaohui Mo, Ke Chen, Honghui He, Wenjun Yang, Joseph El Youssef, Jessica R. Castle, W. Kenneth Ward, Xin-xing Wan, Shaoli Zhao and Pingyu Zeng. Their work appears in journals such as Clinical and Experimental Rheumatology, Clinical Rheumatology, Medicine, Diabetes Obesity and Metabolism and Aging.

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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