Gen Lu

2.3k citations
85 papers · 1.0k indexed · h-index 19

Impact in

    • Antifungal resistance and susceptibility
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • interferon and immune responses

Papers in

    • Respiratory viral infections research 21
    • Pneumonia and Respiratory Infections 10
    • Influenza Virus Research Studies 5
    • Viral gastroenteritis research and epidemiology 8

Gen Lu

80 papers receiving 990 citations

Peers

Gen Lu
Comparison fields: 5 of 107
  • Infectious Diseases 260
  • Immunology 278
  • Epidemiology 361
  • Microbiology 59
  • Microbiology 5
Replace Katie R. Poch with:
Katie R. Poch United States
Virginie Vasseur France
Jean‐San Chia Taiwan
Kiwamu Nakamura Japan
Agnieszka Jóźwik Poland
Fiona McIntosh Canada
Takatoshi Kitazawa Japan
Jordan P. Metcalf United States
Wilfried Posch Austria
Anna R. Huppler United States
Gen Lu relative to Katie R. Poch United States Katie R. Poch's profile →
Citations per field
00.5×4.9×
Katie R. Poch · 1×
Citations per year

Countries citing papers authored by Gen Lu

Since Specialization
Citations

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

Fields of papers citing papers by Gen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20242
4 202425
5 20242
6 202410
7 20247
8 20240
9 20236
10 20221
11 20222
12 20225
13 20227
14 20213
15 202041
16 202018
17 201714
18 20174
19 201613
20
[Correlation of gene polymorphism of interleukin 4 receptor alpha peptide chain and total serum IgE levels in asthmatic children in Guiyang area].
20143

About Gen Lu

Gen Lu is a scholar working on Epidemiology, Infectious Diseases, Immunology, Microbiology and Hematology, having authored 85 papers that have together received 1.0k indexed citations. Recurring topics across this work include Respiratory viral infections research (21 papers), Pneumonia and Respiratory Infections (10 papers), Virus-based gene therapy research (8 papers), Viral gastroenteritis research and epidemiology (8 papers), Neonatal Respiratory Health Research (7 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Influenza Virus Research Studies (5 papers) and Autoimmune and Inflammatory Disorders Research (5 papers). The work is most often cited by research in Infectious Diseases (260 citations), Immunology (278 citations), Epidemiology (361 citations), Microbiology (59 citations) and Microbiology (5 citations). Gen Lu has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Huifeng Fan, Guangxun Meng, Diyuan Yang, Tingting Shi, Dongwei Zhang, Li Huang, Feng Huang, Junsong Zhang, Hui Zhang and Kunling Shen. Their work appears in journals such as Frontiers in Immunology, BMC Infectious Diseases, Medicine, Journal of Agricultural and Food Chemistry and Frontiers in Pediatrics.

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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