Yiting Liu

1.5k citations
69 papers · 1.0k · h-index 19

Impact in

  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments

Papers in

    • Mitochondrial Function and Pathology 3
    • Ubiquitin and proteasome pathways 2
    • Cancer Cells and Metastasis 3

Yiting Liu

60 papers receiving 1.0k citations

Peers

Yiting Liu
Comparison fields: 5 of 122
  • Neurology 81
  • Hepatology 42
  • Molecular Medicine 26
  • Cell Biology 85
  • Ophthalmology 39
Replace Weitao Cong with:
Weitao Cong China
Longyun Li China
Ying He China
Lipeng Tang China
Jiaqi Wu China
GJ Ossenkoppele Netherlands
Yiting Liu relative to Weitao Cong China Weitao Cong's profile →
Citations per field
00.5×1.5×2.5×
Weitao Cong · 1×
Citations per year

Countries citing papers authored by Yiting Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yiting Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202095
2 201672
3 200863
4 202054
5 201253
6 202152
7 202249
8 201849
9 201845
10 201143
11 202236
12 202034
13 200532
14 202229
15 202427
16 202225
17 201723
18 202021
19 202019
20 202217

About Yiting Liu

Yiting Liu is a scholar working on Molecular Biology, Oncology, Epidemiology, Surgery and Pharmacology, having authored 69 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Berberine and alkaloids research (4 papers), Cancer Cells and Metastasis (3 papers), Mitochondrial Function and Pathology (3 papers), Ubiquitin and proteasome pathways (2 papers), Cellular transport and secretion (2 papers) and Flavonoids in Medical Research (2 papers). The work is most often cited by research in Neurology (81 citations), Hepatology (42 citations), Molecular Medicine (26 citations), Cell Biology (85 citations) and Ophthalmology (39 citations). Yiting Liu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Wei Wang, Zhidong Liu, James R. Connor, Huan Qin, Xiaosong Yu, Hui Peng, Xingshun Qi, Yukun Zhang, Diana Nguyen and Xiuwei Zhang. Their work appears in journals such as Transplant Immunology, Human Molecular Genetics, Biomedicine & Pharmacotherapy, Journal of Agricultural and Food Chemistry and Biomedicines.

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.

Explore authors with similar magnitude of impact