Chao Qi
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 26
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- Antibiotic Use and Resistance 12
- Clinical Biochemistry top 0.5%
- Bacterial Identification and Susceptibility Testing 27
- Molecular Biology top 2%
- Peroxisome Proliferator-Activated Receptors 26
- Cancer Research top 2%
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- Antimicrobial Resistance in Staphylococcus 17
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- Adipose Tissue and Metabolism 15
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- Pneumonia and Respiratory Infections 15
- Mycobacterium research and diagnosis 11
- Co-authors
- Janardan K. ReddyMahendra S. RaoYijun ZhuAnjana V. YeldandiMarc H. ScheetzMichael MalczynskiTakashi HashimotoTeresa Zembower
- Journals
- Journal of Biological Chemistry (18 papers)Diagnostic Microbiology and Infectious Disease (10 papers)Antimicrobial Agents and Chemotherapy (10 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Chao Qi
156 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Medicine 764
- Applied Microbiology and Biotechnology 303
- Clinical Biochemistry 501
- Molecular Biology 3.6k
- Cancer Research 733
Countries citing papers authored by Chao Qi
This map shows the geographic impact of Chao 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 Chao Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Qi more than expected).
Fields of papers citing papers by Chao Qi
This network shows the impact of papers produced by Chao 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 Chao Qi. The network helps show where Chao Qi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chao 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 | 2024 | 9 | |
| 2 | 2022 | 5 | |
| 3 | 2022 | 13 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 32 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 87 | |
| 9 | 2020 | 46 | |
| 10 | 2019 | 20 | |
| 11 | 2018 | 18 | |
| 12 | 2017 | 5 | |
| 13 | 2015 | 13 | |
| 14 | 2015 | 108 | |
| 15 | 2012 | 66 | |
| 16 | 2012 | 9 | |
| 17 | 2009 | 61 | |
| 18 | 2009 | 8 | |
| 19 | 2005 | 29 | |
| 20 | 2004 | 23 |
About Chao Qi
Chao Qi is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 161 papers that have together received 6.5k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (27 papers), Antibiotic Resistance in Bacteria (26 papers), Peroxisome Proliferator-Activated Receptors (26 papers), Antimicrobial Resistance in Staphylococcus (17 papers), Adipose Tissue and Metabolism (15 papers), Pneumonia and Respiratory Infections (15 papers), Antibiotic Use and Resistance (12 papers) and Mycobacterium research and diagnosis (11 papers). The work is most often cited by research in Molecular Medicine (764 citations), Applied Microbiology and Biotechnology (303 citations) and Clinical Biochemistry (501 citations). Chao Qi has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Janardan K. Reddy, Mahendra S. Rao, Yijun Zhu, Anjana V. Yeldandi, Marc H. Scheetz, Michael Malczynski, Takashi Hashimoto, Teresa Zembower, William S. Cook and Sanjay Jain. Their work appears in journals such as Journal of Biological Chemistry, Diagnostic Microbiology and Infectious Disease, Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology and Proceedings of the National Academy of 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.