Qili Chu
Impact in
- Equine top 5%
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- RNA Interference and Gene Delivery 6
- Immunology 10
- Immunotherapy and Immune Responses 6
- T-cell and B-cell Immunology 3
- Co-authors
- David L. Lewis (5 shared papers)Darren H. Wakefield (5 shared papers)David B. Rozema (5 shared papers)Jason J. Klein (4 shared papers)So C. Wong (4 shared papers)Jon A. Wolff (2 shared papers)Andrei V. Blokhin (2 shared papers)James E. Hagstrom (1 shared paper)
- Journals
- Avian Diseases (5 papers)American Journal of Veterinary Research (4 papers)Journal of Hepatology (3 papers)Vaccine (2 papers)Osteoarthritis and Cartilage (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Qili Chu
34 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Equine 38
- Cancer Research 236
- Small Animals 95
- Molecular Biology 881
- Hepatology 92
Countries citing papers authored by Qili Chu
This map shows the geographic impact of Qili Chu'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 Qili Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qili Chu more than expected).
Fields of papers citing papers by Qili Chu
This network shows the impact of papers produced by Qili Chu. 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 Qili Chu. The network helps show where Qili Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qili Chu, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dynamic PolyConjugates for targeted in vivo delivery of siRNA to hepatocytes Hit paper breakdown → | 2007 | 523 |
| 2 | 2013 | 241 | |
| 3 | 2012 | 86 | |
| 4 | 2002 | 70 | |
| 5 | 2001 | 55 | |
| 6 | 2001 | 53 | |
| 7 | 2001 | 53 | |
| 8 | 1997 | 47 | |
| 9 | 2020 | 40 | |
| 10 | 2004 | 36 | |
| 11 | 2015 | 31 | |
| 12 | 2002 | 26 | |
| 13 | 2003 | 23 | |
| 14 | 2002 | 22 | |
| 15 | 1993 | 21 | |
| 16 | 2005 | 19 | |
| 17 | 2004 | 17 | |
| 18 | 1988 | 15 | |
| 19 | 2018 | 13 | |
| 20 | 1995 | 13 |
About Qili Chu
Qili Chu is a scholar working on Molecular Biology, Immunology, Surgery, Rheumatology and Epidemiology, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), RNA Interference and Gene Delivery (6 papers), Osteoarthritis Treatment and Mechanisms (6 papers), Knee injuries and reconstruction techniques (5 papers), Tendon Structure and Treatment (5 papers), Animal Nutrition and Physiology (3 papers), Hepatitis B Virus Studies (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Equine (38 citations), Cancer Research (236 citations), Small Animals (95 citations), Molecular Biology (881 citations) and Hepatology (92 citations). Qili Chu has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include David L. Lewis, Darren H. Wakefield, David B. Rozema, Jason J. Klein, So C. Wong, Jon A. Wolff, Andrei V. Blokhin, James E. Hagstrom, P. Roesch and Stephanie Bertin. Their work appears in journals such as Avian Diseases, American Journal of Veterinary Research, Journal of Hepatology, Vaccine and Osteoarthritis and Cartilage.
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.