Fenxia Li

593 citations
30 papers · 447 · h-index 13

Impact in

Papers in

Fenxia Li

26 papers receiving 445 citations

Peers

Fenxia Li
Comparison fields: 5 of 59
  • Cancer Research 97
  • Pediatrics, Perinatology and Child Health 72
  • Reproductive Medicine 23
  • Molecular Biology 197
  • Genetics 62
Replace Mohammad Shekari with:
Mohammad Shekari Iran
Zhu Zhang China
Xiaochuan Xie China
Chantal Farra Lebanon
Inbal Kedar Israel
Anne‐Bine Skytte Denmark
Larissa Haertle Germany
Upeksha Chandrasiri Australia
G. Makrydimas Greece
Lee Silcock United Kingdom
Fenxia Li relative to Mohammad Shekari Iran Mohammad Shekari's profile →
Citations per field
00.5×4.2×
Mohammad Shekari · 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 201896
2 201246
3
Association of TGF-beta1, IL-4 and IL-13 gene polymerphisms with asthma in a Chinese population.
201142
4 201631
5 201625
6 201422
7 201219
8 201217
9 201516
10 201416
11 201515
12 202214
13 202012
14 202011
15 202310
16
[Association of PRM1-190C- > A polymorphism with teratozoospermia].
20129
17
HLA class II variants in Chinese breast cancer patients.
20119
18 20218
19 20206
20 20166

About Fenxia Li

Fenxia Li is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Genetics, Pathology and Forensic Medicine and Cancer Research, having authored 30 papers that have together received 447 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (9 papers), Genetic factors in colorectal cancer (3 papers), Hemophilia Treatment and Research (2 papers), BRCA gene mutations in cancer (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Genetic Syndromes and Imprinting (2 papers), Nutrition, Genetics, and Disease (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (97 citations), Pediatrics, Perinatology and Child Health (72 citations), Reproductive Medicine (23 citations), Molecular Biology (197 citations) and Genetics (62 citations). Fenxia Li has collaborated with scholars based in China and Spain. Frequent co-authors include Xuexi Yang, Jianhua Zhang, Jin Zhang, Xinyuan Zhao, Ying-Song Wu, Ming Li, Yang Gao, Ming Li, Guangyu Yao and Yingsong Wu. Their work appears in journals such as International Journal of Molecular Sciences, Placenta, Frontiers in Pediatrics, BMC Pregnancy and Childbirth and Molecular Biology Reports.

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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