Feng Lu

5.2k citations
188 papers · 3.8k · h-index 34

Impact in

Papers in

    • Tissue Engineering and Regenerative Medicine 34
    • Reconstructive Surgery and Microvascular Techniques 15
    • Body Contouring and Surgery 14
    • Mesenchymal stem cell research 51

Feng Lu

180 papers receiving 3.8k citations

Peers

Feng Lu
Comparison fields: 5 of 134
  • Genetics 1.2k
  • Rehabilitation 687
  • Biomaterials 954
  • Dermatology 370
  • Surgery 1.5k
Replace Mikaël M. Martino with:
Mikaël M. Martino Switzerland
Yi Liu China
Heiko Sorg Germany
Yaojiong Wu China
Keita Inoue Japan
Clark A. Bonham United States
Allison J. Cowin Australia
Shigehiko Suzuki Japan
Wassim Raffoul Switzerland
Peiman Hematti United States
Feng Lu relative to Mikaël M. Martino Switzerland Mikaël M. Martino's profile →
Citations per field
00.5×2.7×
Mikaël M. Martino · 1×
Citations per year

Countries citing papers authored by Feng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 188 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009179
2 2008177
3 2008142
4 2016117
5 201485
6 201976
7 201675
8 202270
9 201566
10 201365
11 201663
12 201763
13 201859
14 201855
15 199254
16 201852
17 199451
18 201651
19 202250
20 201949

About Feng Lu

Feng Lu is a scholar working on Surgery, Genetics, Biomaterials, Rehabilitation and Dermatology, having authored 188 papers that have together received 3.8k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (51 papers), Electrospun Nanofibers in Biomedical Applications (45 papers), Tissue Engineering and Regenerative Medicine (34 papers), Wound Healing and Treatments (27 papers), Dermatologic Treatments and Research (18 papers), Adipose Tissue and Metabolism (17 papers), Reconstructive Surgery and Microvascular Techniques (15 papers) and Body Contouring and Surgery (14 papers). The work is most often cited by research in Genetics (1.2k citations), Rehabilitation (687 citations), Biomaterials (954 citations), Dermatology (370 citations) and Surgery (1.5k citations). Feng Lu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yunfan He, Ziqing Dong, Qiang Chang, Rei Ogawa, Jianhua Gao, Jianhua Gao, Hiko Hyakusoku, Malcolm Xing, Yunjun Liao and Yao Yao. Their work appears in journals such as Plastic & Reconstructive Surgery, The FASEB Journal, Frontiers in Cell and Developmental Biology, Stem Cell Research & Therapy and Tissue Engineering Part B Reviews.

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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