Xiaoli Feng

2.5k citations
27 papers · 1.9k indexed · 1 hit paper · h-index 17
Topics
Nanoparticles: synthesis and applications (14 papers)Graphene and Nanomaterials Applications (8 papers)Heavy Metal Exposure and Toxicity (6 papers)
Partner nations
ChinaUnited States

In The Last Decade

Xiaoli Feng

26 papers receiving 1.8k citations

Hit Papers

Toxicity of graphene-family nanoparticles: a general revi...20162026201920222016200400600

Peers

Xiaoli Feng
Comparison fields: 5 of 135
  • Materials Chemistry 1.0k
  • Biomedical Engineering 886
  • Molecular Biology 292
  • Biomaterials 286
  • Health, Toxicology and Mutagenesis 210
Replace Bin Song with:
Bin Song China
Yanli Zhang China
I‐Lun Hsiao Taiwan
Aijie Chen China
Kunal Bhattacharya India
Nagarjun V. Konduru United States
Sijing Xiong Singapore
Yuh-Jeen Huang Taiwan
B LI China
Xiaoli Feng relative to Bin Song China Bin Song's profile →
Citations per field
00.5×1.6×
Bin Song · 1×
Citations per year

Countries citing papers authored by Xiaoli Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Feng. A scholar is included among the top collaborators of Xiaoli Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoli Feng. Xiaoli Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 9
3 4
4 2
5 10
6 41
7 2
8 59
9 16
10 63
11 39
12 71
13 74
14 67
15 36
16
Toxicity of graphene-family nanoparticles: a general review of the origins and mechanismsbreakdown →
614
17 138
18 135
19 105
20 9

About Xiaoli Feng

Xiaoli Feng is a scholar working on Health Informatics, Developmental Neuroscience and Health, Toxicology and Mutagenesis, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (14 papers), Graphene and Nanomaterials Applications (8 papers) and Heavy Metal Exposure and Toxicity (6 papers). The work is most often cited by research in Materials Chemistry (1.0k citations), Developmental Neuroscience (92 citations) and Biomaterials (286 citations). Xiaoli Feng has collaborated with scholars based in China and United States. Frequent co-authors include Longquan Shao, Bin Song, Jia Liu, Ting Sun, Lingling Ou, Huimin Liang, Bin Deng, Aijie Chen, Yanli Zhang and Limin Wei. Their work appears in journals such as Journal of Hazardous Materials, Acta Biomaterialia and International Journal of Nanomedicine.

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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