Feng Lu

5.3k citations
146 papers · 4.1k · h-index 33

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Genetics top 2%
    • Mesenchymal stem cell research

Papers in

    • Mesenchymal stem cell research 38
    • Cancer-related molecular mechanisms research 14
    • MicroRNA in disease regulation 12

Feng Lu

140 papers receiving 4.1k citations

Peers

Feng Lu
Comparison fields: 5 of 132
  • Cancer Research 912
  • Genetics 624
  • Molecular Biology 1.8k
  • Rehabilitation 106
  • Biomaterials 203
Replace Sun U. Song with:
Sun U. Song South Korea
Yang Bi China
Philippe Galéra France
Chunmei Zhang China
Rosa Maria Borzı̀ Italy
Basem M. Abdallah Denmark
Yiping Li China
Ruili Yang China
Abdullah M. Aldahmash Saudi Arabia
Feng Lu relative to Sun U. Song South Korea Sun U. Song's profile →
Citations per field
00.5×2×3.2×
Sun U. Song · 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 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006345
2 2011323
3 2011243
4 2013141
5 2016129
6 201899
7 201696
8 201786
9 201785
10 201478
11 202068
12 201264
13 201463
14 201360
15 201960
16 201959
17 201259
18 201359
19 201550
20 201948

About Feng Lu

Feng Lu is a scholar working on Genetics, Cancer Research, Molecular Biology, Biomaterials and Oncology, having authored 146 papers that have together received 4.1k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (38 papers), Cancer-related molecular mechanisms research (14 papers), MicroRNA in disease regulation (12 papers), Tissue Engineering and Regenerative Medicine (11 papers), Electrospun Nanofibers in Biomedical Applications (10 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), Cancer Cells and Metastasis (7 papers) and RNA Interference and Gene Delivery (7 papers). The work is most often cited by research in Cancer Research (912 citations), Genetics (624 citations), Molecular Biology (1.8k citations), Rehabilitation (106 citations) and Biomaterials (203 citations). Feng Lu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ziqiang Liu, Hai-Jun Huang, Yang Li, Aiwu Dong, Qiang Chang, Yunjun Liao, Gang Li, Jianhua Gao, Yi Yuan and Ziqing Dong. Their work appears in journals such as Plastic & Reconstructive Surgery, PLoS ONE, Stem Cell Research & Therapy, Aesthetic Plastic Surgery and Biochemical and Biophysical Research Communications.

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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