Lu Dang
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in
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- CRISPR and Genetic Engineering 8
- RNA regulation and disease 4
- RNA and protein synthesis mechanisms 3
- Advanced biosensing and bioanalysis techniques 2
- RNA Interference and Gene Delivery 2
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Xingxu Huang (10 shared papers)Xinjie Wang (8 shared papers)Xiaodong Ma (4 shared papers)Guang Yang (4 shared papers)Qingzhou Meng (4 shared papers)Peixiang Ma (4 shared papers)Jia Liu (2 shared papers)Mingtian Zhong (2 shared papers)
- Journals
- Molecular Therapy (2 papers)Nature Communications (2 papers)Cell Proliferation (1 paper)Communications Biology (1 paper)Science Bulletin (1 paper)
- Partner nations
- China
In The Last Decade
Lu Dang
11 papers receiving 595 citations
Peers
Comparison fields: 5 of 59
- Business and International Management 31
- Infectious Diseases 162
- Molecular Biology 501
- Agronomy and Crop Science 41
- Biomedical Engineering 139
Countries citing papers authored by Lu Dang
This map shows the geographic impact of Lu Dang'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 Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Dang more than expected).
Fields of papers citing papers by Lu Dang
This network shows the impact of papers produced by Lu Dang. 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 Dang. The network helps show where Lu Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Dang, 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 | 2020 | 163 | |
| 2 | 2020 | 136 | |
| 3 | 2020 | 123 | |
| 4 | 2020 | 53 | |
| 5 | 2019 | 48 | |
| 6 | 2021 | 36 | |
| 7 | 2024 | 17 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 7 | |
| 11 | Genotyping, Orientalis-like Yersinia pestis, and Plague Pandemics | 2013 | 2 |
About Lu Dang
Lu Dang is a scholar working on Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology and Agronomy and Crop Science, having authored 11 papers that have together received 603 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), RNA regulation and disease (4 papers), RNA and protein synthesis mechanisms (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), RNA Interference and Gene Delivery (2 papers), Cytomegalovirus and herpesvirus research (1 paper) and Yersinia bacterium, plague, ectoparasites research (1 paper). The work is most often cited by research in Business and International Management (31 citations), Infectious Diseases (162 citations), Molecular Biology (501 citations), Agronomy and Crop Science (41 citations) and Biomedical Engineering (139 citations). Lu Dang has collaborated with scholars based in China. Frequent co-authors include Xingxu Huang, Xinjie Wang, Xiaodong Ma, Guang Yang, Qingzhou Meng, Peixiang Ma, Jia Liu, Mingtian Zhong, Siyuan Liu and Tian Chi. Their work appears in journals such as Molecular Therapy, Nature Communications, Cell Proliferation, Communications Biology and Science Bulletin.
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.