Jia Lu

3.8k citations
120 papers · 1.9k · h-index 22

Impact in

    • Parasitic Infections and Diagnostics
    • Amoebic Infections and Treatments
    • Tuberculosis Research and Epidemiology

Papers in

Jia Lu

101 papers receiving 1.9k citations

Peers

Jia Lu
Comparison fields: 5 of 147
  • Parasitology 293
  • Infectious Diseases 437
  • Immunology 190
  • Molecular Biology 603
  • Paleontology 60
Replace January Weiner with:
January Weiner Germany
Andrew Reilly United States
Jun Cao China
Xinwen Chen China
Lixia Wang China
Boris M. Hogema Netherlands
Joana Tavares Portugal
Marcelo Ribeiro‐Alves Brazil
Jianping Cai China
Renli Zhang China
Jia Lu relative to January Weiner Germany January Weiner's profile →
Citations per field
00.5×6.7×
January Weiner · 1×
Citations per year

Countries citing papers authored by Jia Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jia Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011343
2 2009162
3 2010128
4 2007101
5 200591
6 200686
7 201068
8
Antiviral activity of cepharanthine against severe acute respiratory syndrome coronavirus in vitro.
200548
9 202139
10 200938
11 201837
12 201136
13 200634
14 200932
15 202131
16 201130
17 201228
18 202127
19 202127
20 201226

About Jia Lu

Jia Lu is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Infectious Diseases, Epidemiology and Molecular Biology, having authored 120 papers that have together received 1.9k indexed citations. Recurring topics across this work include Optical Network Technologies (32 papers), Advanced Photonic Communication Systems (30 papers), Advanced Fiber Laser Technologies (17 papers), Photonic and Optical Devices (10 papers), PAPR reduction in OFDM (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Optical Wireless Communication Technologies (8 papers) and Vaccine Coverage and Hesitancy (7 papers). The work is most often cited by research in Parasitology (293 citations), Infectious Diseases (437 citations), Immunology (190 citations), Molecular Biology (603 citations) and Paleontology (60 citations). Jia Lu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Kevin S. W. Tan, Manoj Puthia, Yao‐Kuang Huang, Yongchang Chang, Chaokun Li, Ben-chang Shen, Aiyun Wen, Ze Dong, Selena W. S. Sio and Chunwei Shi. Their work appears in journals such as Optical Fiber Technology, Optics Communications, PLoS ONE, Vaccine and Human Vaccines & Immunotherapeutics.

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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