Feng Lan

80 papers receiving 2.3k citations

Feng Lan's Hit Papers

GZMK-expressing CD8+ T cells promote recurrent airway inflammatory diseases 2025 · 54 citations
540+1+3Years since publication50100150

Peers

Feng Lan
Comparison fields: 5 of 113
  • Otorhinolaryngology 430
  • Immunology and Allergy 433
  • Immunology 444
  • Microbiology 114
  • Physiology 427
Replace Marianne Gallup with:
Marianne Gallup United States
Jae Hyang Lim South Korea
Hideyuki Kawauchi Japan
Reza Falak Iran
Anke Leichtle Germany
Enio F. Ferreira Brazil
Maya Zimmermann Switzerland
Susanne Kaesler Germany
Márta Széll Hungary
Kenneth C. Malcolm United States
Feng Lan relative to Marianne Gallup United States Marianne Gallup's profile →
Citations per field
00.5×2×4×6×7.7×
Marianne Gallup · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Advances and highlights in allergic rhinitis
Hit paper breakdown →
2021195
2 2012168
3 2022128
4 2017124
5 2000121
6 2018106
7 201397
8 200481
9 201859
10
GZMK-expressing CD8+ T cells promote recurrent airway inflammatory diseases
Hit paper breakdown →
202554
11 202050
12 201446
13
A novel growth suppressor gene on chromosome 17p13.3 with a high frequency of mutation in human hepatocellular carcinoma.
200144
14 201443
15 200041
16 201840
17 201339
18 201839
19 201238
20 201637

About Feng Lan

Feng Lan is a scholar working on Otorhinolaryngology, Immunology and Allergy, Immunology, Physiology and Microbiology, having authored 84 papers that have together received 2.3k indexed citations. Recurring topics across this work include Sinusitis and nasal conditions (19 papers), Allergic Rhinitis and Sensitization (15 papers), Asthma and respiratory diseases (15 papers), IL-33, ST2, and ILC Pathways (7 papers), Nanoparticle-Based Drug Delivery (6 papers), RNA Interference and Gene Delivery (5 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Otorhinolaryngology (430 citations), Immunology and Allergy (433 citations), Immunology (444 citations), Microbiology (114 citations) and Physiology (427 citations). Feng Lan has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Luo Zhang, Yuan Zhang, Russell J. Mumper, Claus Bachert, Nan Zhang, Gabriële Holtappels, Natalie De Ruyck, Olga Krysko, Elien Gevaert and Koen Van Crombruggen. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Allergy, Microbial Pathogenesis, International Forum of Allergy & Rhinology and Allergy Asthma and Immunology Research.

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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