Xifan Mei

6.5k citations
194 papers · 5.0k indexed · 2 hit papers · h-index 38
Topics
Spinal Cord Injury Research (64 papers)Neuroinflammation and Neurodegeneration Mechanisms (31 papers)Advanced Nanomaterials in Catalysis (28 papers)
Journals
Advanced MaterialsSHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
ChinaFranceUnited States

In The Last Decade

Xifan Mei

189 papers receiving 4.9k citations

Hit Papers

Zinc attenuates ferroptosis and promotes functional recov...20212026202220242021202150100150

Peers

Xifan Mei
Comparison fields: 5 of 142
  • Molecular Biology 1.5k
  • Biomedical Engineering 1.1k
  • Materials Chemistry 1.0k
  • Pathology and Forensic Medicine 996
  • Biomaterials 692
Replace Hamidreza Pazoki–Toroudi with:
Hamidreza Pazoki–Toroudi Iran
Gianfranco Peluso Italy
Fangxia Guan China
Xiaochun Bai China
Reza Rahbarghazi‬ Iran
Leila Roshangar Iran
Ying‐Zheng Zhao China
Jing Tian China
Yanan Zhao China
Shanshan Ma China
Xifan Mei relative to Hamidreza Pazoki–Toroudi Iran Hamidreza Pazoki–Toroudi's profile →
Citations per field
00.5×3.0×
Hamidreza Pazoki–Toroudi · 1×
Citations per year

Countries citing papers authored by Xifan Mei

Since Specialization
Citations

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

Fields of papers citing papers by Xifan Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xifan Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Xifan Mei. A scholar is included among the top collaborators of Xifan Mei 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 Xifan Mei. Xifan Mei 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 1
2 1
3 2
4 3
5 1
6 3
7 0
8 0
9 0
10 6
11 32
12 58
13 1
14 4
15 9
16 2
17 4
18 17
19 5
20 85

About Xifan Mei

Xifan Mei is a scholar working on Neurology, Pathology and Forensic Medicine and Biomaterials, having authored 194 papers that have together received 5.0k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (64 papers), Neuroinflammation and Neurodegeneration Mechanisms (31 papers) and Advanced Nanomaterials in Catalysis (28 papers). The work is most often cited by research in Rehabilitation (434 citations), Pathology and Forensic Medicine (996 citations) and Biomaterials (692 citations). Xifan Mei has collaborated with scholars based in China, France and United States. Frequent co-authors include Zhenhua Chen, He Tian, Xiuli Ren, Linna Chang, Dan Li, Xingjun Zhao, Guannan Wang, Shibo Xu, Daoyong Li and Jiaquan Lin. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología 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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