Faying Liu

555 citations
37 papers · 407 · h-index 12

Impact in

Papers in

    • Endometriosis Research and Treatment 14
    • Ovarian cancer diagnosis and treatment 6
    • Ubiquitin and proteasome pathways 3
    • RNA modifications and cancer 3

Faying Liu

36 papers receiving 400 citations

Peers

Faying Liu
Comparison fields: 5 of 65
  • Reproductive Medicine 139
  • Obstetrics and Gynecology 66
  • Cancer Research 62
  • Spectroscopy 58
  • Analytical Chemistry 31
Replace Meenu Maan with:
Meenu Maan United Arab Emirates
Yongxue Wang China
С. Е. Титов Russia
Bogomir Dimitrijević Serbia
Yumin Ke China
Akhilesh Kumar Bajpai United States
Timo N. Kohler United Kingdom
Marc Clos‐Garcia Spain
Christina Österlund Sweden
Coşkun Güzel Netherlands
Faying Liu relative to Meenu Maan United Arab Emirates Meenu Maan's profile →
Citations per field
00.5×10×20×31×
Meenu Maan · 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 201849
2 202040
3 201426
4 201524
5 201323
6 201519
7 201518
8 201618
9 201917
10 201717
11 201714
12 201414
13 201611
14 201711
15 201810
16 20229
17 20189
18 20159
19 20209
20 20198

About Faying Liu

Faying Liu is a scholar working on Reproductive Medicine, Molecular Biology, Obstetrics and Gynecology, Immunology and Spectroscopy, having authored 37 papers that have together received 407 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (14 papers), Ovarian cancer diagnosis and treatment (6 papers), Reproductive System and Pregnancy (6 papers), Uterine Myomas and Treatments (6 papers), Mass Spectrometry Techniques and Applications (4 papers), Ubiquitin and proteasome pathways (3 papers), Estrogen and related hormone effects (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Reproductive Medicine (139 citations), Obstetrics and Gynecology (66 citations), Cancer Research (62 citations), Spectroscopy (58 citations) and Analytical Chemistry (31 citations). Faying Liu has collaborated with scholars based in China and United States. Frequent co-authors include Yang Zou, Ouping Huang, Yong Luo, Bicheng Yang, Ziyu Zhang, Liqun Wang, Ming He, 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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