Changlu Qi
Impact in
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- Gut microbiota and health
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Metabolomics and Mass Spectrometry Studies
- RNA and protein synthesis mechanisms
Papers in
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- Gut microbiota and health 10
- Single-cell and spatial transcriptomics 2
- Metabolomics and Mass Spectrometry Studies 2
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- Clostridium difficile and Clostridium perfringens research 5
- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Liang Cheng (18 shared papers)Xue Zhang (13 shared papers)He Zhuang (1 shared paper)Yiting Cai (4 shared papers)Haixiu Yang (3 shared papers)Ying Han (1 shared paper)Weiju Sun (1 shared paper)Huijie Jiang (1 shared paper)
- Journals
- Nucleic Acids Research (8 papers)Briefings in Functional Genomics (2 papers)Frontiers in Microbiology (2 papers)Gut Microbes (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Changlu Qi
18 papers receiving 558 citations
Peers
Comparison fields: 5 of 75
- Biological Psychiatry 16
- Molecular Biology 413
- Cancer Research 50
- Infectious Diseases 55
- Computational Theory and Mathematics 49
Countries citing papers authored by Changlu Qi
This map shows the geographic impact of Changlu Qi'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 Changlu Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changlu Qi more than expected).
Fields of papers citing papers by Changlu Qi
This network shows the impact of papers produced by Changlu Qi. 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 Changlu Qi. The network helps show where Changlu Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Changlu Qi, 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 | 163 | |
| 2 | 2021 | 132 | |
| 3 | 2021 | 86 | |
| 4 | 2022 | 47 | |
| 5 | 2021 | 34 | |
| 6 | 2021 | 22 | |
| 7 | 2020 | 22 | |
| 8 | 2022 | 18 | |
| 9 | 2024 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 0 |
About Changlu Qi
Changlu Qi is a scholar working on Molecular Biology, Infectious Diseases, Cancer Research, Physiology and Genetics, having authored 19 papers that have together received 563 indexed citations. Recurring topics across this work include Gut microbiota and health (10 papers), Clostridium difficile and Clostridium perfringens research (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Diet and metabolism studies (3 papers), Single-cell and spatial transcriptomics (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), MicroRNA in disease regulation (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Biological Psychiatry (16 citations), Molecular Biology (413 citations), Cancer Research (50 citations), Infectious Diseases (55 citations) and Computational Theory and Mathematics (49 citations). Changlu Qi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Liang Cheng, Xue Zhang, He Zhuang, Yiting Cai, Haixiu Yang, Ying Han, Weiju Sun, Huijie Jiang, Hong Ju and Guizhi Sun. Their work appears in journals such as Nucleic Acids Research, Briefings in Functional Genomics, Frontiers in Microbiology, Gut Microbes and Briefings in Bioinformatics.
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.