La Wang

492 citations
32 papers · 416 · h-index 14

Impact in

Papers in

    • Insect Resistance and Genetics 4
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Autophagy in Disease and Therapy 4
    • Liver Disease Diagnosis and Treatment 3

La Wang

30 papers receiving 410 citations

Peers

La Wang
Comparison fields: 5 of 62
  • Insect Science 67
  • Electronic, Optical and Magnetic Materials 93
  • Biomaterials 51
  • Immunology 73
  • Molecular Biology 178
Replace Natália Bueno Leite with:
Natália Bueno Leite Brazil
Xinli Fan China
Alexander S. Fomin Russia
Min Yao China
Razina Z. Seeni Singapore
Youngsang You South Korea
Guohong Chen China
Rina Hamajima Japan
Jennifer E. Seto United States
La Wang relative to Natália Bueno Leite Brazil Natália Bueno Leite's profile →
Citations per field
00.5×5×10×13.3×
Natália Bueno Leite · 1×
Citations per year

Countries citing papers authored by La Wang

Since Specialization
Citations

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

Fields of papers citing papers by La Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201965
2 201540
3 201733
4 201430
5 201721
6 201520
7 201518
8 201718
9 202317
10 202117
11 201917
12 201417
13 201415
14 201513
15 201911
16 201911
17 20169
18 20177
19 20186
20 20236

About La Wang

La Wang is a scholar working on Molecular Biology, Epidemiology, Immunology, Electronic, Optical and Magnetic Materials and Biomedical Engineering, having authored 32 papers that have together received 416 indexed citations. Recurring topics across this work include Plasmonic and Surface Plasmon Research (5 papers), Metamaterials and Metasurfaces Applications (5 papers), Insect Resistance and Genetics (4 papers), Autophagy in Disease and Therapy (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Advanced Antenna and Metasurface Technologies (3 papers), Invertebrate Immune Response Mechanisms (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Insect Science (67 citations), Electronic, Optical and Magnetic Materials (93 citations), Biomaterials (51 citations), Immunology (73 citations) and Molecular Biology (178 citations). La Wang has collaborated with scholars based in China. Frequent co-authors include Min‐Hui Pan, Cheng Lu, Tian Sang, Jian Gao, Xin Yin, Huashan Yi, Hongfei Jiao, Yanfen Hu, Zhanqi Dong and Weiyi Tian. Their work appears in journals such as Pesticide Biochemistry and Physiology, Biochemical and Biophysical Research Communications, PLoS ONE, Food Science & Nutrition and Nanoscale Research Letters.

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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