Fei Ding

7.1k citations
122 papers · 5.5k · 1 hit paper · h-index 43

Impact in

Papers in

Fei Ding

121 papers receiving 5.5k citations

Fei Ding's Hit Papers

Neural tissue engineering options for peripheral nerve regeneration 2014 · 492 citations
4920+4+8Years since publication100200300400

Peers

Fei Ding
Comparison fields: 5 of 121
  • Cellular and Molecular Neuroscience 2.9k
  • Biomaterials 1.8k
  • Developmental Neuroscience 506
  • Rehabilitation 369
  • Genetics 389
Replace Zhifeng Xiao with:
Zhifeng Xiao China
Stefano Geuna Italy
Stefania Raimondo Italy
António J. Salgado Portugal
Yoshihisa Suzuki Japan
Xiaosong Gu China
James B. Phillips United Kingdom
Christine Radtke Austria
Stefan Przyborski United Kingdom
Hongyu Zhang China
Fei Ding relative to Zhifeng Xiao China Zhifeng Xiao's profile →
Citations per field
00.5×1.5×
Zhifeng Xiao · 1×
Citations per year

Countries citing papers authored by Fei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Fei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010497
2
Neural tissue engineering options for peripheral nerve regeneration
Hit paper breakdown →
2014492
3 2007275
4 2007258
5 2013202
6 2012141
7 2014115
8 2012109
9 2009107
10 2012100
11 201299
12 201491
13 201187
14 201079
15 200874
16 201274
17 202071
18 201466
19 201565
20 201164

About Fei Ding

Fei Ding is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Biomaterials, Developmental Neuroscience and Genetics, having authored 122 papers that have together received 5.5k indexed citations. Recurring topics across this work include Nerve injury and regeneration (76 papers), Neurogenesis and neuroplasticity mechanisms (25 papers), Electrospun Nanofibers in Biomedical Applications (15 papers), Signaling Pathways in Disease (13 papers), Mesenchymal stem cell research (12 papers), Silk-based biomaterials and applications (10 papers), Wound Healing and Treatments (9 papers) and Axon Guidance and Neuronal Signaling (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.9k citations), Biomaterials (1.8k citations), Developmental Neuroscience (506 citations), Rehabilitation (369 citations) and Genetics (389 citations). Fei Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaosong Gu, Yumin Yang, Jie Liu, David F. Williams, Yun Gu, Bin Yu, Songlin Zhou, Yongjun Wang, Wen Hu and Jie Liu. Their work appears in journals such as Biomaterials, Progress in Natural Science Materials International, Molecular Neurobiology, Journal of Molecular Neuroscience and Journal of Proteome Research.

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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