Qi Lü
Impact in
- Hematology top 5%
- Hemophilia Treatment and Research
- Platelet Disorders and Treatments
- Blood Coagulation and Thrombosis Mechanisms
- Biotechnology top 5%
- Microbial Inactivation Methods
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 5
- RNA Interference and Gene Delivery 3
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- Advanced Data Storage Technologies 4
- Distributed systems and fault tolerance 4
- Co-authors
- Terence A. Partridge (3 shared papers)Martin Blomley (2 shared papers)George Bou–Gharios (1 shared paper)Robert Peters (10 shared papers)Alan J. Bitonti (4 shared papers)Mahadev Satyanarayanan (3 shared papers)Susan C. Low (3 shared papers)Jennifer Dumont (3 shared papers)
- Journals
- Blood (3 papers)BMC Medical Education (2 papers)Computer Communications (2 papers)Gene Therapy (2 papers)Biologicals (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Qi Lü
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 126
- Hematology 265
- Biotechnology 129
- Genetics 202
- Molecular Biology 479
- Genetics 61
Countries citing papers authored by Qi Lü
This map shows the geographic impact of Qi Lü'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 Qi Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Lü more than expected).
Fields of papers citing papers by Qi Lü
This network shows the impact of papers produced by Qi Lü. 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 Qi Lü. The network helps show where Qi Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Lü, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 197 | |
| 2 | 2003 | 150 | |
| 3 | 2010 | 148 | |
| 4 | 2012 | 97 | |
| 5 | 2004 | 70 | |
| 6 | 2001 | 65 | |
| 7 | 2019 | 56 | |
| 8 | 2016 | 50 | |
| 9 | 2018 | 39 | |
| 10 | 1994 | 38 | |
| 11 | 2015 | 31 | |
| 12 | 2020 | 27 | |
| 13 | 2002 | 23 | |
| 14 | 2011 | 20 | |
| 15 | 1997 | 18 | |
| 16 | 2012 | 18 | |
| 17 | 1998 | 17 | |
| 18 | 1993 | 14 | |
| 19 | 2021 | 13 | |
| 20 | 2014 | 11 |
About Qi Lü
Qi Lü is a scholar working on Molecular Biology, Computer Networks and Communications, Hematology, Genetics and Public Health, Environmental and Occupational Health, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Hemophilia Treatment and Research (6 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Advanced Data Storage Technologies (4 papers), Distributed systems and fault tolerance (4 papers), RNA Interference and Gene Delivery (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Hematology (265 citations), Biotechnology (129 citations), Genetics (202 citations), Molecular Biology (479 citations) and Genetics (61 citations). Qi Lü has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Terence A. Partridge, Martin Blomley, George Bou–Gharios, Robert Peters, Alan J. Bitonti, Mahadev Satyanarayanan, Susan C. Low, Jennifer Dumont, Glenn F. Pierce and Edwin A. Deitch. Their work appears in journals such as Blood, BMC Medical Education, Computer Communications, Gene Therapy and Biologicals.
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.