Lu Wang

2.9k citations
185 papers · 1.9k · h-index 24

Impact in

Papers in

    • Extracellular vesicles in disease 4
    • Epigenetics and DNA Methylation 4
    • HIV/AIDS Research and Interventions 9
    • SARS-CoV-2 and COVID-19 Research 6

Lu Wang

158 papers receiving 1.8k citations

Peers

Lu Wang
Comparison fields: 5 of 168
  • Infectious Diseases 239
  • Biological Psychiatry 24
  • Safety Research 60
  • Molecular Biology 436
  • Biochemistry 33
Replace Krishna Mohan Surapaneni with:
Krishna Mohan Surapaneni India
Min Sun Kim South Korea
Jianhua Li China
Jin‐Hee Park South Korea
Xiaohua Liu China
Pingping Wang China
Hong Cai China
Shankargouda Patil India
Qi Dong China
Xinghua Liu China
Lu Wang relative to Krishna Mohan Surapaneni India Krishna Mohan Surapaneni's profile →
Citations per field
00.5×3.2×
Krishna Mohan Surapaneni · 1×
Citations per year

Countries citing papers authored by Lu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202095
2 201673
3 202271
4 202366
5 201657
6 201954
7 202052
8 202244
9 201043
10 202042
11 201839
12 201338
13 201138
14 202037
15 202037
16 202236
17 202033
18 202131
19 202329
20 202029

About Lu Wang

Lu Wang is a scholar working on Molecular Biology, Infectious Diseases, Electrical and Electronic Engineering, Epidemiology and Immunology, having authored 185 papers that have together received 1.9k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (9 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Advanced Photocatalysis Techniques (4 papers), Plant Molecular Biology Research (4 papers), Optical measurement and interference techniques (4 papers), Extracellular vesicles in disease (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Infectious Diseases (239 citations), Biological Psychiatry (24 citations), Safety Research (60 citations), Molecular Biology (436 citations) and Biochemistry (33 citations). Lu Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yuepeng Han, Long Zhang, Jiachen Sun, Yi-Lin Lu, Ming Li, Shengjie Dong, Jiesen Li, Zhuo Mao, Xiao Xiao and Collins Ogutu. Their work appears in journals such as BMC Public Health, Chemical Engineering Journal, Advanced Science, International Immunopharmacology and Antimicrobial Agents and Chemotherapy.

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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