Fenxia Li

580 citations
30 papers · 438 · h-index 13

Impact in

Papers in

Fenxia Li

26 papers receiving 435 citations

Peers

Fenxia Li
Comparison fields: 5 of 68
  • Cancer Research 121
  • Pediatrics, Perinatology and Child Health 77
  • Molecular Biology 229
  • Reproductive Medicine 28
  • Genetics 91
Replace Zhu Zhang with:
Zhu Zhang China
Shiming Lü China
Mohammad Shekari Iran
Xiaochuan Xie China
Eduardo Reynoso Mexico
Dae Hoon Jeong South Korea
Caterina Gulìa Italy
Chantal Farra Lebanon
M F Segers Netherlands
Gauri Gandhi India
Fenxia Li relative to Zhu Zhang China Zhu Zhang's profile →
Citations per field
00.5×1.5×1.9×
Zhu Zhang · 1×
Citations per year

Countries citing papers authored by Fenxia Li

Since Specialization
Citations

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

Fields of papers citing papers by Fenxia Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201892
2 201245
3
Association of TGF-beta1, IL-4 and IL-13 gene polymerphisms with asthma in a Chinese population.
201143
4 201630
5 201625
6 201422
7 201219
8 201217
9 201516
10 201515
11 201415
12 202213
13 202012
14 202011
15 202310
16
HLA class II variants in Chinese breast cancer patients.
20119
17
[Association of PRM1-190C- > A polymorphism with teratozoospermia].
20129
18 20218
19 20166
20 20225

About Fenxia Li

Fenxia Li is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Cancer Research, Infectious Diseases and Genetics, having authored 30 papers that have together received 438 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (12 papers), Fetal and Pediatric Neurological Disorders (6 papers), Parvovirus B19 Infection Studies (5 papers), Genetic factors in colorectal cancer (4 papers), Cancer Genomics and Diagnostics (4 papers), Pregnancy and preeclampsia studies (3 papers), Cancer-related gene regulation (3 papers) and Hemophilia Treatment and Research (2 papers). The work is most often cited by research in Cancer Research (121 citations), Pediatrics, Perinatology and Child Health (77 citations), Molecular Biology (229 citations), Reproductive Medicine (28 citations) and Genetics (91 citations). Fenxia Li has collaborated with scholars based in China and Spain. Frequent co-authors include Xuexi Yang, Xinyuan Zhao, Jin Zhang, Jianhua Zhang, Ying-Song Wu, Yang Gao, Ming Li, Ming Li, Guangyu Yao and Yingsong Wu. Their work appears in journals such as International Journal of Molecular Sciences, Placenta, Gene, Frontiers in Pediatrics and PLoS ONE.

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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