Fengming Lan

1.2k citations
19 papers · 1.0k · h-index 14

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Extracellular vesicles in disease
    • RNA modifications and cancer
    • Genomics, phytochemicals, and oxidative stress

Papers in

    • Circular RNAs in diseases 9
    • Extracellular vesicles in disease 4
    • Genomics, phytochemicals, and oxidative stress 2
    • MicroRNA in disease regulation 8
    • Cancer-related molecular mechanisms research 3

Fengming Lan

19 papers receiving 1.0k citations

Peers

Fengming Lan
Comparison fields: 5 of 81
  • Cancer Research 672
  • Molecular Biology 764
  • Genetics 96
  • Toxicology 9
  • Immunology 52
Replace Tianfu Yu with:
Tianfu Yu China
Yixue Xue China
Cuiyun Sun China
Ignacio Niechi Chile
Jianwei Ge China
Xuelei Ruan China
Lei Lü China
Pasqualino De Antonellis Italy
Deanna Tiek United States
Fengming Lan relative to Tianfu Yu China Tianfu Yu's profile →
Citations per field
00.5×6.1×
Tianfu Yu · 1×
Citations per year

Countries citing papers authored by Fengming Lan

Since Specialization
Citations

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

Fields of papers citing papers by Fengming Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2019161
2 2017159
3 201294
4 201593
5 201586
6 201265
7 201565
8 201559
9 202156
10 202056
11 201453
12 201639
13 201922
14
Serum toll-like receptors are potential biomarkers of radiation pneumonia in locally advanced NSCLC.
201414
15 20146
16 20234
17 20234
18 20133
19 20232

About Fengming Lan

Fengming Lan is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Otorhinolaryngology and Oncology, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Circular RNAs in diseases (9 papers), MicroRNA in disease regulation (8 papers), Extracellular vesicles in disease (4 papers), Cancer-related molecular mechanisms research (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Lung Cancer Diagnosis and Treatment (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Cancer Research (672 citations), Molecular Biology (764 citations), Genetics (96 citations), Toxicology (9 citations) and Immunology (52 citations). Fengming Lan has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Xiao Yue, Tingyi Xia, Huiming Yu, Qiang Pan‐Hammarström, Man Hu, Qing Qin, Qiong Wang, Jinhuan Wang, Peiyu Pu and Chunsheng Kang. Their work appears in journals such as Frontiers in Oncology, Journal of Neurochemistry, Journal of neurosurgery, CNS Neuroscience & Therapeutics and Molecular Therapy.

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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