Feizhou Lu

1.5k citations
65 papers · 1.1k · h-index 19

Impact in

Papers in

Feizhou Lu

63 papers receiving 1.1k citations

Peers

Feizhou Lu
Comparison fields: 5 of 79
  • Pathology and Forensic Medicine 423
  • Surgery 381
  • Rheumatology 97
  • Geriatrics and Gerontology 22
  • Pharmacology 85
Replace Haoruo Jia with:
Haoruo Jia China
Ming-liang Ji China
Wei Tong China
Zengwu Shao China
Hen‐Yu Liu Taiwan
Shunji Nakano Japan
Dongwei Fan China
Aravind Athiviraham United States
Haijun Xiao China
Rodrigo Navarro-Ramírez United States
Feizhou Lu relative to Haoruo Jia China Haoruo Jia's profile →
Citations per field
00.5×3.3×
Haoruo Jia · 1×
Citations per year

Countries citing papers authored by Feizhou Lu

Since Specialization
Citations

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

Fields of papers citing papers by Feizhou Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019112
2 201870
3 201652
4 201548
5
Minimally invasive lumbar interbody fusion via MAST Quadrant retractor versus open surgery: a prospective randomized clinical trial.
201147
6 201845
7 202341
8 200540
9 201436
10 201630
11 201330
12 201823
13 201323
14 201720
15 200419
16 202318
17 201218
18 201918
19 201618
20 202018

About Feizhou Lu

Feizhou Lu is a scholar working on Surgery, Pathology and Forensic Medicine, Molecular Biology, Rheumatology and Public Health, Environmental and Occupational Health, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cervical and Thoracic Myelopathy (23 papers), Spine and Intervertebral Disc Pathology (22 papers), Pregnancy-related medical research (4 papers), Circular RNAs in diseases (4 papers), Bone Tumor Diagnosis and Treatments (3 papers), Spinal Fractures and Fixation Techniques (3 papers), Fatigue and fracture mechanics (2 papers) and Neurofibromatosis and Schwannoma Cases (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (423 citations), Surgery (381 citations), Rheumatology (97 citations), Geriatrics and Gerontology (22 citations) and Pharmacology (85 citations). Feizhou Lu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xinlei Xia, Xiaosheng Ma, Jianyuan Jiang, Fei Zou, Hongli Wang, Xiaosheng Ma, Hongli Wang, Jianyuan Jiang, Lixun Wang and Minghao Shao. Their work appears in journals such as World Neurosurgery, Spine, BioMed Research International, Clinical Neurophysiology and European Spine Journal.

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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