Hao Qi
Impact in
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
- Molecular Medicine top 5%
Papers in
-
- RNA and protein synthesis mechanisms 18
- Advanced biosensing and bioanalysis techniques 16
- CRISPR and Genetic Engineering 14
- DNA and Biological Computing 9
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- 3D Printing in Biomedical Research 9
- Co-authors
- Ali Khademhosseini (5 shared papers)Hojae Bae (5 shared papers)Yunzhi Yang (1 shared paper)Ruei‐Zeng Lin (1 shared paper)Juan M. Melero‐Martin (1 shared paper)Ying‐Chieh Chen (1 shared paper)Yanan Du (8 shared papers)Feng Xu (4 shared papers)
- Journals
- ACS Synthetic Biology (6 papers)Small (4 papers)Communications Biology (3 papers)Nature Communications (3 papers)RSC Advances (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hao Qi
109 papers receiving 3.2k citations
Hao Qi's Hit Papers
Peers
Comparison fields: 5 of 158
- Biomaterials 633
- Molecular Medicine 159
- Biomedical Engineering 1.4k
- Biophysics 96
- Molecular Biology 1.0k
Countries citing papers authored by Hao Qi
This map shows the geographic impact of Hao 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 Hao Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Qi more than expected).
Fields of papers citing papers by Hao Qi
This network shows the impact of papers produced by Hao 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 Hao Qi. The network helps show where Hao Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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
Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Functional Human Vascular Network Generated in Photocrosslinkable Gelatin Methacrylate Hydrogels Hit paper breakdown → | 2012 | 637 |
| 2 | 2013 | 235 | |
| 3 | 2015 | 215 | |
| 4 | 2011 | 157 | |
| 5 | 2018 | 140 | |
| 6 | 2018 | 119 | |
| 7 | 2010 | 103 | |
| 8 | 2018 | 78 | |
| 9 | 2017 | 75 | |
| 10 | 2022 | 66 | |
| 11 | 2017 | 64 | |
| 12 | 2015 | 59 | |
| 13 | 2008 | 56 | |
| 14 | 2006 | 53 | |
| 15 | 2011 | 50 | |
| 16 | 2014 | 49 | |
| 17 | 2004 | 48 | |
| 18 | 2021 | 38 | |
| 19 | 2020 | 38 | |
| 20 | 2015 | 34 |
About Hao Qi
Hao Qi is a scholar working on Molecular Biology, Biomedical Engineering, Mechanical Engineering, Biomaterials and Aerospace Engineering, having authored 117 papers that have together received 3.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (18 papers), Advanced biosensing and bioanalysis techniques (16 papers), CRISPR and Genetic Engineering (14 papers), High Entropy Alloys Studies (11 papers), High-Temperature Coating Behaviors (11 papers), 3D Printing in Biomedical Research (9 papers), DNA and Biological Computing (9 papers) and Bacterial Genetics and Biotechnology (8 papers). The work is most often cited by research in Biomaterials (633 citations), Molecular Medicine (159 citations), Biomedical Engineering (1.4k citations), Biophysics (96 citations) and Molecular Biology (1.0k citations). Hao Qi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ali Khademhosseini, Hojae Bae, Yunzhi Yang, Ruei‐Zeng Lin, Juan M. Melero‐Martin, Ying‐Chieh Chen, Yanan Du, Feng Xu, Peng Yin and Xiujun Li. Their work appears in journals such as ACS Synthetic Biology, Small, Communications Biology, Nature Communications and RSC Advances.
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.