Qingluan Hu
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
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- Circular RNAs in diseases
- RNA modifications and cancer
- Extracellular vesicles in disease
- CRISPR and Genetic Engineering
Papers in
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- RNA Interference and Gene Delivery 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- Inflammasome and immune disorders 1
- CRISPR and Genetic Engineering 1
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- interferon and immune responses 2
- Co-authors
- Qinggong Yuan (2 shared papers)Michael Ott (3 shared papers)Asha Balakrishnan (2 shared papers)Andrei Goga (1 shared paper)Michael P. Manns (1 shared paper)Hsin-Chieh Tsay (1 shared paper)Yu Xie (1 shared paper)Renyi Qin (1 shared paper)
- Journals
- Nature Communications (1 paper)Journal of Hepatology (1 paper)Cancers (1 paper)Cell Biology and Toxicology (1 paper)European Journal of Pharmaceutical Sciences (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Qingluan Hu
5 papers receiving 155 citations
Peers
Comparison fields: 5 of 37
- Cancer Research 80
- Molecular Biology 98
- Business and International Management 2
- Hematology 7
- Genetics 6
Countries citing papers authored by Qingluan Hu
This map shows the geographic impact of Qingluan Hu'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 Qingluan Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingluan Hu more than expected).
Fields of papers citing papers by Qingluan Hu
This network shows the impact of papers produced by Qingluan Hu. 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 Qingluan Hu. The network helps show where Qingluan Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingluan Hu, 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 | 128 | |
| 2 | 2022 | 11 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 8 | |
| 5 | 2025 | 1 | |
| 6 | 2026 | 0 |
About Qingluan Hu
Qingluan Hu is a scholar working on Molecular Biology, Immunology, Civil and Structural Engineering, Hematology and Genetics, having authored 6 papers that have together received 156 indexed citations. Recurring topics across this work include interferon and immune responses (2 papers), RNA Interference and Gene Delivery (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Structural Analysis and Optimization (1 paper), Topology Optimization in Engineering (1 paper), Hepatitis C virus research (1 paper), Inflammasome and immune disorders (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Cancer Research (80 citations), Molecular Biology (98 citations), Business and International Management (2 citations), Hematology (7 citations) and Genetics (6 citations). Qingluan Hu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Qinggong Yuan, Michael Ott, Asha Balakrishnan, Andrei Goga, Michael P. Manns, Hsin-Chieh Tsay, Yu Xie, Renyi Qin, Amar Deep Sharma and Ling Chang. Their work appears in journals such as Nature Communications, Journal of Hepatology, Cancers, Cell Biology and Toxicology and European Journal of Pharmaceutical Sciences.
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.