Changlu Qi
Impact in
-
- Gut microbiota and health
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
Papers in
-
- Gut microbiota and health 11
- Single-cell and spatial transcriptomics 2
- Metabolomics and Mass Spectrometry Studies 2
-
- SARS-CoV-2 and COVID-19 Research 5
- Clostridium difficile and Clostridium perfringens research 5
- 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)Peigang Cao (1 shared paper)Weiju Sun (1 shared paper)
- Journals
- Nucleic Acids Research (8 papers)Briefings in Functional Genomics (2 papers)Frontiers in Microbiology (2 papers)Virus Research (1 paper)Computers in Biology and Medicine (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Changlu Qi
18 papers receiving 534 citations
Peers
Comparison fields: 5 of 75
- Biological Psychiatry 22
- Molecular Biology 433
- Cancer Research 55
- Infectious Diseases 65
- Computational Theory and Mathematics 50
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 | 162 | |
| 2 | 2021 | 125 | |
| 3 | 2021 | 82 | |
| 4 | 2022 | 45 | |
| 5 | 2021 | 33 | |
| 6 | 2020 | 22 | |
| 7 | 2021 | 22 | |
| 8 | 2022 | 17 | |
| 9 | 2021 | 12 | |
| 10 | 2024 | 6 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2023 | 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 539 indexed citations. Recurring topics across this work include Gut microbiota and health (11 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Clostridium difficile and Clostridium perfringens research (5 papers), Diet and metabolism studies (3 papers), Single-cell and spatial transcriptomics (2 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Biological Psychiatry (22 citations), Molecular Biology (433 citations), Cancer Research (55 citations), Infectious Diseases (65 citations) and Computational Theory and Mathematics (50 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, Peigang Cao, Weiju Sun, Hong Ju and Guizhi Sun. Their work appears in journals such as Nucleic Acids Research, Briefings in Functional Genomics, Frontiers in Microbiology, Virus Research and Computers in Biology and Medicine.
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.