Xiaofei Li

1.4k citations
73 papers · 1.0k · h-index 19

Impact in

Papers in

    • Plant Reproductive Biology 3
    • Insect Resistance and Genetics 2
    • Vestibular and auditory disorders 20

Xiaofei Li

66 papers receiving 1.0k citations

Peers

Xiaofei Li
Comparison fields: 5 of 114
  • Sensory Systems 144
  • Neurology 132
  • Otorhinolaryngology 25
  • Plant Science 229
  • Molecular Biology 404
Replace Aiguo Liu with:
Aiguo Liu China
Qingqing Wu China
Zhan Liu China
Hyung-Min Kim South Korea
Haitao Shen China
Su-Jin Kim South Korea
Michaela Zorn‐Kruppa Germany
Kyungsook Jung South Korea
Qiang Hao China
Ning Song China
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Citations per field
00.5×1.5×2.1×
Aiguo Liu · 1×
Citations per year

Countries citing papers authored by Xiaofei Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201881
2 201369
3 201764
4 200955
5 201753
6 201648
7 201944
8
Particular types of tumor cells have the capacity to convert transforming growth factor beta from a latent to an active form.
199235
9 201333
10 201529
11 201828
12 202327
13 201926
14 201426
15 201326
16 201923
17 201721
18 201918
19 201718
20 201018

About Xiaofei Li

Xiaofei Li is a scholar working on Molecular Biology, Neurology, Plant Science, Sensory Systems and Cell Biology, having authored 73 papers that have together received 1.0k indexed citations. Recurring topics across this work include Vestibular and auditory disorders (20 papers), Hearing, Cochlea, Tinnitus, Genetics (7 papers), Ear Surgery and Otitis Media (4 papers), Plant Stress Responses and Tolerance (4 papers), Plant Reproductive Biology (3 papers), Garlic and Onion Studies (3 papers), Insect Resistance and Genetics (2 papers) and Ophthalmology and Eye Disorders (2 papers). The work is most often cited by research in Sensory Systems (144 citations), Neurology (132 citations), Otorhinolaryngology (25 citations), Plant Science (229 citations) and Molecular Biology (404 citations). Xiaofei Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Haibo Wang, Daogong Zhang, Hong Ding, Zhaomin Fan, Lei Xu, Yongdong Song, Yuechen Han, Zhike Li, Xianmin Wu and Xiaohui Bai. Their work appears in journals such as Acta Oto-Laryngologica, Frontiers in Neurology, European Journal of Medicinal Chemistry, Frontiers in Oncology and Frontiers in Cellular Neuroscience.

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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