Longyu Wang
Impact in
- Biotechnology top 10%
- Cancer Research and Treatments
-
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
Papers in
-
- Advanced biosensing and bioanalysis techniques 9
- CRISPR and Genetic Engineering 9
- RNA and protein synthesis mechanisms 5
- Plant Gene Expression Analysis 2
- RNA modifications and cancer 2
- Ecology 5
- Bacteriophages and microbial interactions 5
- Co-authors
- Ruyi He (7 shared papers)Lixin Ma (10 shared papers)Yang Liu (6 shared papers)Fei Wang (5 shared papers)Jun Yang (5 shared papers)Wenqiang Li (3 shared papers)Chao Zhai (2 shared papers)Aitao Li (2 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Advanced Science (2 papers)Biosensors and Bioelectronics (2 papers)Therapeutic Advances in Drug Safety (1 paper)Molecular Cell (1 paper)
- Partner nations
- ChinaMaldivesUnited States
In The Last Decade
Longyu Wang
18 papers receiving 613 citations
Peers
Comparison fields: 5 of 51
- Biotechnology 83
- Molecular Biology 416
- Biomedical Engineering 222
- Ecology 123
- Infectious Diseases 47
Countries citing papers authored by Longyu Wang
This map shows the geographic impact of Longyu 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 Longyu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longyu Wang more than expected).
Fields of papers citing papers by Longyu Wang
This network shows the impact of papers produced by Longyu 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 Longyu Wang. The network helps show where Longyu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Longyu Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 120 | |
| 2 | 2020 | 99 | |
| 3 | 2020 | 78 | |
| 4 | 2021 | 57 | |
| 5 | 2021 | 54 | |
| 6 | 2022 | 47 | |
| 7 | 2022 | 45 | |
| 8 | 2021 | 29 | |
| 9 | 2022 | 26 | |
| 10 | 2024 | 21 | |
| 11 | 2024 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2024 | 6 | |
| 14 | 2025 | 4 | |
| 15 | 2025 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2026 | 0 |
About Longyu Wang
Longyu Wang is a scholar working on Molecular Biology, Ecology, Genetics, Biotechnology and Cancer Research, having authored 20 papers that have together received 615 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), CRISPR and Genetic Engineering (9 papers), RNA and protein synthesis mechanisms (5 papers), Bacteriophages and microbial interactions (5 papers), Plant Gene Expression Analysis (2 papers), Cancer Research and Treatments (2 papers), RNA modifications and cancer (2 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Biotechnology (83 citations), Molecular Biology (416 citations), Biomedical Engineering (222 citations), Ecology (123 citations) and Infectious Diseases (47 citations). Longyu Wang has collaborated with scholars based in China, Maldives and United States. Frequent co-authors include Ruyi He, Lixin Ma, Yang Liu, Fei Wang, Jun Yang, Wenqiang Li, Chao Zhai, Aitao Li, Wuxiang Mao and Xiao Yu. Their work appears in journals such as Nucleic Acids Research, Advanced Science, Biosensors and Bioelectronics, Therapeutic Advances in Drug Safety and Molecular Cell.
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.