Qun Lu
Impact in
- Neurology top 0.5%
- Barrier Structure and Function Studies
- Neurological Disease Mechanisms and Treatments
- Molecular Biology top 5%
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Connexins and lens biology
- Gut microbiota and health
Papers in
-
- Wnt/β-catenin signaling in development and cancer 23
- Cancer-related gene regulation 13
- Protein Kinase Regulation and GTPase Signaling 6
- Ubiquitin and proteasome pathways 4
- Neurology 21
- Barrier Structure and Function Studies 19
- Neurological Disease Mechanisms and Treatments 7
- Co-authors
- Yan‐Hua Chen (12 shared papers)Lei Ding (8 shared papers)Zhe Lü (8 shared papers)Yanhua Chen (14 shared papers)Daniel A. Goodenough (2 shared papers)Eveline E. Schneeberger (1 shared paper)Beverly G. Jeansonne (5 shared papers)Do Kim (3 shared papers)
- Journals
- PLoS ONE (3 papers)Experimental Cell Research (3 papers)Journal of Cell Science (3 papers)Annals of the New York Academy of Sciences (3 papers)Journal of Alzheimer s Disease (3 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Qun Lu
77 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 117
- Neurology 1.0k
- Molecular Biology 2.1k
- Cell Biology 482
- Cancer Research 390
- Oncology 491
Countries citing papers authored by Qun Lu
This map shows the geographic impact of Qun 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 Qun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qun Lu more than expected).
Fields of papers citing papers by Qun Lu
This network shows the impact of papers produced by Qun 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 Qun Lu. The network helps show where Qun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qun 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
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 231 | |
| 2 | 2017 | 225 | |
| 3 | 2013 | 204 | |
| 4 | 2011 | 181 | |
| 5 | 2005 | 176 | |
| 6 | 1999 | 158 | |
| 7 | 2013 | 138 | |
| 8 | 2002 | 125 | |
| 9 | 2013 | 120 | |
| 10 | 2008 | 115 | |
| 11 | 2009 | 91 | |
| 12 | 2017 | 89 | |
| 13 | 2011 | 88 | |
| 14 | 2008 | 85 | |
| 15 | 2002 | 73 | |
| 16 | 2011 | 72 | |
| 17 | 2005 | 72 | |
| 18 | 2015 | 70 | |
| 19 | 2018 | 67 | |
| 20 | 2009 | 63 |
About Qun Lu
Qun Lu is a scholar working on Molecular Biology, Neurology, Cell Biology, Physiology and Cellular and Molecular Neuroscience, having authored 79 papers that have together received 3.7k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (23 papers), Barrier Structure and Function Studies (19 papers), Cancer-related gene regulation (13 papers), Alzheimer's disease research and treatments (9 papers), Neurological Disease Mechanisms and Treatments (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Hippo pathway signaling and YAP/TAZ (6 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Neurology (1.0k citations), Molecular Biology (2.1k citations), Cell Biology (482 citations), Cancer Research (390 citations) and Oncology (491 citations). Qun Lu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Yan‐Hua Chen, Lei Ding, Zhe Lü, Yanhua Chen, Daniel A. Goodenough, Eveline E. Schneeberger, Beverly G. Jeansonne, Do Kim, Byron J. Aguilar and Kwonseop Kim. Their work appears in journals such as PLoS ONE, Experimental Cell Research, Journal of Cell Science, Annals of the New York Academy of Sciences and Journal of Alzheimer s Disease.
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.