Gen Lu

2.4k citations
104 papers · 1.7k · h-index 21

Impact in

Papers in

    • Respiratory viral infections research 22
    • Pneumonia and Respiratory Infections 13
    • Influenza Virus Research Studies 7
    • Fungal Infections and Studies 5
    • Immunodeficiency and Autoimmune Disorders 7
    • T-cell and B-cell Immunology 5

Gen Lu

94 papers receiving 1.7k citations

Peers

Gen Lu
Comparison fields: 5 of 109
  • Applied Microbiology and Biotechnology 238
  • Microbiology 82
  • Epidemiology 386
  • Infectious Diseases 207
  • Immunology 212
Replace Yoshinari Tanabe with:
Yoshinari Tanabe Japan
B. Byl Belgium
Stephen D Morris-Jones United Kingdom
Janine Zweigner Germany
Peter D. O'Hanley United States
Janak A. Patel United States
Shukla Das India
Futoshi Higa Japan
Giordano Dicuonzo Italy
Leopoldo N. Segal United States
Gen Lu relative to Yoshinari Tanabe Japan Yoshinari Tanabe's profile →
Citations per field
00.5×2×3×4.3×
Yoshinari Tanabe · 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-authors

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

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019283
2 2019123
3 2020116
4 202082
5 201674
6 202254
7 202050
8 201943
9 202237
10 202135
11 202133
12 200931
13 201830
14 202030
15 202226
16
Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis: a retrospective study of 78 pediatric cases in mainland of China.
201025
17 202125
18 201924
19 201924
20 201923

About Gen Lu

Gen Lu is a scholar working on Epidemiology, Immunology, Microbiology, Infectious Diseases and Applied Microbiology and Biotechnology, having authored 104 papers that have together received 1.7k indexed citations. Recurring topics across this work include Respiratory viral infections research (22 papers), Pneumonia and Respiratory Infections (13 papers), Influenza Virus Research Studies (7 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Enzyme Catalysis and Immobilization (6 papers), T-cell and B-cell Immunology (5 papers), Fungal Infections and Studies (5 papers) and Asthma and respiratory diseases (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (238 citations), Microbiology (82 citations), Epidemiology (386 citations), Infectious Diseases (207 citations) and Immunology (212 citations). Gen Lu has collaborated with scholars based in China, Hong Kong and Ireland. Frequent co-authors include Huifeng Fan, Guangxun Meng, Diyuan Yang, Tingting Shi, Dongwei Zhang, Li Huang, Feng Huang, Junsong Zhang, Hui Zhang and Yingkang Jin. Their work appears in journals such as World Journal of Pediatrics, Frontiers in Pediatrics, BMC Infectious Diseases, BMC Pediatrics and Frontiers in Immunology.

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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