Faying Liu

544 citations
37 papers · 388 · h-index 12

Impact in

Papers in

    • Endometriosis Research and Treatment 14
    • Ovarian cancer diagnosis and treatment 7
    • RNA modifications and cancer 3
    • Ubiquitin and proteasome pathways 3

Faying Liu

34 papers receiving 385 citations

Peers

Faying Liu
Comparison fields: 5 of 66
  • Reproductive Medicine 143
  • Obstetrics and Gynecology 83
  • Cancer Research 72
  • Spectroscopy 55
  • Immunology 66
Replace Hengzi Sun with:
Hengzi Sun China
Meenu Maan United Arab Emirates
Sara L. Schneider United States
Bogomir Dimitrijević Serbia
Akhilesh Kumar Bajpai United States
Jingyan Xie China
С. Е. Титов Russia
Nobuyuki Sakurai Japan
Enfeng Zhao China
Jingfang Di China
Faying Liu relative to Hengzi Sun China Hengzi Sun's profile →
Citations per field
00.5×10×20×27.5×
Hengzi Sun · 1×
Citations per year

Countries citing papers authored by Faying Liu

Since Specialization
Citations

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

Fields of papers citing papers by Faying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201847
2 202039
3 201425
4 201322
5 201522
6 201618
7 201518
8 201917
9 201716
10 201516
11 201713
12 201413
13 201611
14 201711
15 201810
16 20159
17 20209
18 20228
19 20188
20 20198

About Faying Liu

Faying Liu is a scholar working on Reproductive Medicine, Molecular Biology, Immunology, Obstetrics and Gynecology and Genetics, having authored 37 papers that have together received 388 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (14 papers), Reproductive System and Pregnancy (9 papers), Ovarian cancer diagnosis and treatment (7 papers), Estrogen and related hormone effects (6 papers), Uterine Myomas and Treatments (6 papers), Mass Spectrometry Techniques and Applications (4 papers), RNA modifications and cancer (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Reproductive Medicine (143 citations), Obstetrics and Gynecology (83 citations), Cancer Research (72 citations), Spectroscopy (55 citations) and Immunology (66 citations). Faying Liu has collaborated with scholars based in China. Frequent co-authors include Yang Zou, Ouping Huang, Yong Luo, Bicheng Yang, Ziyu Zhang, Ming He, Liqun Wang, Huai Liu, Meizhen Huang and Jun Tan. Their work appears in journals such as Gene, Mutation research. Fundamental and molecular mechanisms of mutagenesis, Analytical Methods, Archives of Gynecology and Obstetrics and Reproductive Biology and Endocrinology.

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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