Ching-Lan Lu
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
- SARS-CoV-2 and COVID-19 Research
Papers in
- Virology 8
- HIV Research and Treatment 8
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- HIV/AIDS drug development and treatment 5
- HIV/AIDS Research and Interventions 2
- Co-authors
- Michel C. Nussenzweig (6 shared papers)Lilian Nogueira (5 shared papers)Joshua A. Horwitz (3 shared papers)Anna Gazumyan (3 shared papers)Marina F. Caskey (4 shared papers)Jeffrey V. Ravetch (2 shared papers)Ariel Halper-Stromberg (2 shared papers)Stylianos Bournazos (2 shared papers)
- Journals
- The Journal of Experimental Medicine (2 papers)Cell (2 papers)Nature Medicine (1 paper)Science (1 paper)Nature (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Ching-Lan Lu
9 papers receiving 1.5k citations
Ching-Lan Lu's Hit Papers
Peers
Comparison fields: 5 of 58
- Virology 1.1k
- Infectious Diseases 570
- Immunology 621
- Radiology, Nuclear Medicine and Imaging 284
- Epidemiology 224
Countries citing papers authored by Ching-Lan Lu
This map shows the geographic impact of Ching-Lan Lu'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 Ching-Lan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching-Lan Lu more than expected).
Fields of papers citing papers by Ching-Lan Lu
This network shows the impact of papers produced by Ching-Lan Lu. 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 Ching-Lan Lu. The network helps show where Ching-Lan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching-Lan Lu, 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 | Combination therapy with anti-HIV-1 antibodies maintains viral suppression Hit paper breakdown → | 2018 | 415 |
| 2 | 2014 | 334 | |
| 3 | 2016 | 311 | |
| 4 | 2020 | 127 | |
| 5 | 2017 | 120 | |
| 6 | 2019 | 99 | |
| 7 | 2018 | 91 | |
| 8 | 2018 | 65 | |
| 9 | 2012 | 1 |
About Ching-Lan Lu
Ching-Lan Lu is a scholar working on Virology, Infectious Diseases, Immunology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), HIV/AIDS drug development and treatment (5 papers), Immune Cell Function and Interaction (5 papers), HIV/AIDS Research and Interventions (2 papers), T-cell and B-cell Immunology (2 papers), CRISPR and Genetic Engineering (1 paper), RNA Interference and Gene Delivery (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Virology (1.1k citations), Infectious Diseases (570 citations), Immunology (621 citations), Radiology, Nuclear Medicine and Imaging (284 citations) and Epidemiology (224 citations). Ching-Lan Lu has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Michel C. Nussenzweig, Lilian Nogueira, Joshua A. Horwitz, Anna Gazumyan, Marina F. Caskey, Jeffrey V. Ravetch, Ariel Halper-Stromberg, Stylianos Bournazos, Florian Klein and Jovana Golijanin. Their work appears in journals such as The Journal of Experimental Medicine, Cell, Nature Medicine, Science and Nature.
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.