Feng Lan

2.8k total citations · 2 hit papers
81 papers, 2.0k citations indexed

About

Feng Lan is a scholar working on Immunology, Physiology and Molecular Biology. According to data from OpenAlex, Feng Lan has authored 81 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 24 papers in Physiology and 19 papers in Molecular Biology. Recurrent topics in Feng Lan's work include Asthma and respiratory diseases (23 papers), Allergic Rhinitis and Sensitization (17 papers) and Sinusitis and nasal conditions (16 papers). Feng Lan is often cited by papers focused on Asthma and respiratory diseases (23 papers), Allergic Rhinitis and Sensitization (17 papers) and Sinusitis and nasal conditions (16 papers). Feng Lan collaborates with scholars based in China, Belgium and United States. Feng Lan's co-authors include Luo Zhang, Yuan Zhang, Russell J. Mumper, Claus Bachert, Nan Zhang, Gabriële Holtappels, Natalie De Ruyck, Olga Krysko, S. Rahima Benhabbour and Emilio Barberá‐Guillem and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

Feng Lan

79 papers receiving 1.9k citations

Hit Papers

Advances and highlights in allergic rhinitis 2021 2026 2022 2024 2021 2025 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Feng Lan China 24 577 530 493 463 345 81 2.0k
Hideyuki Kawauchi Japan 25 674 1.2× 690 1.3× 286 0.6× 433 0.9× 369 1.1× 113 2.0k
Amanda Gonçalves Belgium 23 271 0.5× 105 0.2× 1.6k 3.3× 852 1.8× 75 0.2× 45 2.8k
Norbert Meyer Switzerland 13 378 0.7× 251 0.5× 260 0.5× 517 1.1× 29 0.1× 19 1.4k
Marianne Gallup United States 31 656 1.1× 201 0.4× 1.3k 2.6× 594 1.3× 72 0.2× 46 3.1k
Reza Falak Iran 23 135 0.2× 192 0.4× 490 1.0× 429 0.9× 22 0.1× 117 1.9k
James Lausier United States 22 577 1.0× 137 0.3× 1.2k 2.5× 336 0.7× 33 0.1× 25 2.5k
Chi‐Neu Tsai Taiwan 29 273 0.5× 45 0.1× 1.1k 2.2× 282 0.6× 125 0.4× 86 2.7k
Maya Zimmermann Switzerland 10 413 0.7× 362 0.7× 327 0.7× 529 1.1× 23 0.1× 13 1.5k
A. Dobozy Hungary 33 390 0.7× 787 1.5× 746 1.5× 915 2.0× 29 0.1× 195 3.9k

Countries citing papers authored by Feng Lan

Since Specialization
Citations

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

Fields of papers citing papers by Feng Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Lan. A scholar is included among the top collaborators of Feng Lan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Feng Lan. Feng Lan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Yan, Su Duan, Yuling Zhang, et al.. (2025). TLR4+group 2 innate lymphoid cells contribute to persistent type 2 immunity in airway diseases. Nature Communications. 16(1). 7108–7108. 3 indexed citations
3.
Yan, Bing, Feng Lan, Jingyun Li, Chengshuo Wang, & Luo Zhang. (2024). The mucosal concept in chronic rhinosinusitis: Focus on the epithelial barrier. Journal of Allergy and Clinical Immunology. 153(5). 1206–1214. 18 indexed citations
4.
Ma, Li, Feng Lan, Peng Chen, et al.. (2023). Combining Radiotherapy with Chemotherapy and Immunotherapy as First-Line Treatment for De Novo Metastatic Nasopharyngeal Carcinoma: A Dual-Center Retrospective Analysis. International Journal of Radiation Oncology*Biology*Physics. 117(2). e603–e604. 1 indexed citations
5.
Lan, Feng, et al.. (2023). Prospective Efficacy of Two Cycles Toripalimab Plus Induction Chemotherapy in T4 or N3 Locoregionally Advanced Nasopharyngeal Carcinoma: A Retrospective and Mechanistic Study. International Journal of Radiation Oncology*Biology*Physics. 117(2). S70–S70. 1 indexed citations
6.
Wang, Qiqi, Su Duan, Yuling Zhang, et al.. (2022). A diagnostic model for predicting type 2 nasal polyps using biomarkers in nasal secretion. Frontiers in Immunology. 13. 1054201–1054201. 10 indexed citations
7.
Zhang, Yuling, et al.. (2021). The effect of immunotherapy on cross-reactivity between house dust mite and other allergens in house dust mite -sensitized patients with allergic rhinitis. Expert Review of Clinical Immunology. 17(9). 969–975. 16 indexed citations
8.
Li, Ping, et al.. (2021). ICAM-1-carrying targeted nano contrast agent for evaluating inflammatory injury in rabbits with atherosclerosis. Scientific Reports. 11(1). 16508–16508. 15 indexed citations
9.
Zhang, Lan, Caiwu Li, Feng Lan, et al.. (2020). Analysis of the vaginal microbiome of giant pandas using metagenomics sequencing. MicrobiologyOpen. 9(12). e1131–e1131. 10 indexed citations
10.
Lan, Feng, Hua Zhong, Nan Zhang, et al.. (2018). IFN-λ1 enhances Staphylococcus aureus clearance in healthy nasal mucosa but not in nasal polyps. Journal of Allergy and Clinical Immunology. 143(4). 1416–1425.e4. 16 indexed citations
11.
Lan, Feng, Nan Zhang, Gabriële Holtappels, et al.. (2018). Staphylococcus aureus Induces a Mucosal Type 2 Immune Response via Epithelial Cell–derived Cytokines. American Journal of Respiratory and Critical Care Medicine. 198(4). 452–463. 90 indexed citations
12.
Li, Caiwu, Xin Yang, Yongxiang Wang, et al.. (2018). Frequency of antimicrobial resistance and integron gene cassettes in Escherichia coli isolated from giant pandas (Ailuropoda melanoleuca) in China. Microbial Pathogenesis. 116. 173–179. 24 indexed citations
13.
Zhu, Xiao Dong, Junming Huang, Feng Lan, et al.. (2018). Diagnostic Value of Contrast-Enhanced Spectral Mammography for Screening Breast Cancer: Systematic Review and Meta-analysis. Clinical Breast Cancer. 18(5). e985–e995. 54 indexed citations
14.
Yu, Haining, Hui Wang, Xuelian Liu, et al.. (2016). Identification, eukaryotic expression and structure & function characterizations of β-defensin like homologues from Pelodiscus sinensis. Developmental & Comparative Immunology. 68. 108–117. 9 indexed citations
15.
Yang, Yucheng, Nan Zhang, Koen Van Crombruggen, et al.. (2015). Differential Expression and Release of Activin A and Follistatin in Chronic Rhinosinusitis with and without Nasal Polyps. PLoS ONE. 10(6). e0128564–e0128564. 13 indexed citations
17.
Zhang, Nan, Koen Van Crombruggen, Gabriële Holtappels, et al.. (2014). Suppression of Cytokine Release by Fluticasone Furoate vs. Mometasone Furoate in Human Nasal Tissue Ex-Vivo. PLoS ONE. 9(4). e93754–e93754. 15 indexed citations
18.
Ma, Ping, S. Rahima Benhabbour, Feng Lan, & Russell J. Mumper. (2012). 2′-Behenoyl-paclitaxel conjugate containing lipid nanoparticles for the treatment of metastatic breast cancer. Cancer Letters. 334(2). 253–262. 38 indexed citations
19.
Barberá‐Guillem, Emilio, Margaret Nelson, Julie Nyhus, et al.. (2000). B lymphocyte pathology in human colorectal cancer. Experimental and clinical therapeutic effects of partial B cell depletion. Cancer Immunology Immunotherapy. 48(10). 541–549. 113 indexed citations
20.
Kawachi, Shigeyuki, Zenichi Morise, Stephen R. Jennings, et al.. (2000). Cytokine and Adhesion Molecule Expression in SCID Mice Reconstituted with CD4+ T Cells. Inflammatory Bowel Diseases. 6(3). 171–180. 33 indexed citations

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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