Fei-Feng Li

528 citations
29 papers · 377 · h-index 14

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Connexins and lens biology
    • Circular RNAs in diseases
    • Congenital heart defects research

Papers in

Fei-Feng Li

27 papers receiving 374 citations

Peers

Fei-Feng Li
Comparison fields: 5 of 68
  • Cancer Research 73
  • Molecular Biology 256
  • Ophthalmology 33
  • Neurology 24
  • Genetics 77
Replace Alfons Meindl with:
Alfons Meindl Germany
Kristin McDonald Gibson United States
J.A.P. Hiel Netherlands
Anne Senabouth Australia
Kerra Pearce United Kingdom
Nicholas W. Ashton Australia
Mathieu Quinodoz Switzerland
Kristof Wing Australia
Christina Rudduck Australia
Bärbel Edelmann Germany
Fei-Feng Li relative to Alfons Meindl Germany Alfons Meindl's profile →
Citations per field
00.5×3.7×
Alfons Meindl · 1×
Citations per year

Countries citing papers authored by Fei-Feng Li

Since Specialization
Citations

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

Fields of papers citing papers by Fei-Feng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201263
2
Nonsense mutation in the CRYBB2 gene causing autosomal dominant progressive polymorphic congenital coronary cataracts.
200830
3 201129
4 201124
5 201421
6 201220
7
A new mutation in BFSP2 (G1091A) causes autosomal dominant congenital lamellar cataracts.
200819
8 201517
9 201516
10 201616
11 201014
12 202013
13 201613
14 202013
15 201512
16 201512
17 201511
18 201610
19 20206
20 20166

About Fei-Feng Li

Fei-Feng Li is a scholar working on Molecular Biology, Oncology, Epidemiology, Neurology and Rheumatology, having authored 29 papers that have together received 377 indexed citations. Recurring topics across this work include Congenital heart defects research (6 papers), Congenital Heart Disease Studies (5 papers), Connexins and lens biology (4 papers), Cerebrovascular and genetic disorders (4 papers), Moyamoya disease diagnosis and treatment (3 papers), Intraocular Surgery and Lenses (3 papers), Nonlinear Photonic Systems (2 papers) and Yersinia bacterium, plague, ectoparasites research (2 papers). The work is most often cited by research in Cancer Research (73 citations), Molecular Biology (256 citations), Ophthalmology (33 citations), Neurology (24 citations) and Genetics (77 citations). Fei-Feng Li has collaborated with scholars based in China and Canada. Frequent co-authors include Shu‐Lin Liu, Xu Ma, Meng Zhang, Shuzhen Wang, Peng Yan, Yi Cui, Yi Hu, Xiaochen Han, Hong-Fei Xia and Chang Gao. Their work appears in journals such as PLoS ONE, Oncotarget, Bioscience Reports, Gene and The European Physical Journal D.

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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