Boxun Lu
Impact in
- Aging top 5%
-
- Genetic Neurodegenerative Diseases
Papers in
-
- Mitochondrial Function and Pathology 17
- Ubiquitin and proteasome pathways 9
- Protein Degradation and Inhibitors 7
- RNA Research and Splicing 6
-
- Genetic Neurodegenerative Diseases 29
- Co-authors
- Yu Ding (12 shared papers)Wanlin Wang (10 shared papers)Yiyan Fei (8 shared papers)Dejian Ren (5 shared papers)Yuhua Fu (16 shared papers)Sudipto Das (2 shared papers)Jin Liu (2 shared papers)Yanhua Su (2 shared papers)
- Journals
- Metallurgical and Materials Transactions B (10 papers)Autophagy (6 papers)Science Bulletin (4 papers)Nature Chemical Biology (3 papers)Nature (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Boxun Lu
83 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 133
- Aging 64
- Cellular and Molecular Neuroscience 639
- Molecular Biology 1.5k
- Endocrine and Autonomic Systems 134
- Sensory Systems 93
Countries citing papers authored by Boxun Lu
This map shows the geographic impact of Boxun 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 Boxun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boxun Lu more than expected).
Fields of papers citing papers by Boxun Lu
This network shows the impact of papers produced by Boxun 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 Boxun Lu. The network helps show where Boxun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Boxun 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 269 | |
| 2 | 2020 | 157 | |
| 3 | 2010 | 154 | |
| 4 | 2019 | 148 | |
| 5 | 2021 | 145 | |
| 6 | 2008 | 125 | |
| 7 | 2022 | 103 | |
| 8 | 2014 | 89 | |
| 9 | 2021 | 89 | |
| 10 | 2013 | 85 | |
| 11 | 2019 | 78 | |
| 12 | 2013 | 68 | |
| 13 | 2015 | 65 | |
| 14 | 2015 | 56 | |
| 15 | 2012 | 54 | |
| 16 | 2015 | 52 | |
| 17 | 2015 | 49 | |
| 18 | 2015 | 43 | |
| 19 | 2017 | 43 | |
| 20 | 2019 | 41 |
About Boxun Lu
Boxun Lu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Mechanical Engineering and Neurology, having authored 86 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (29 papers), Autophagy in Disease and Therapy (17 papers), Mitochondrial Function and Pathology (17 papers), Metallurgical Processes and Thermodynamics (12 papers), Ubiquitin and proteasome pathways (9 papers), Microstructure and Mechanical Properties of Steels (7 papers), Protein Degradation and Inhibitors (7 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Aging (64 citations), Cellular and Molecular Neuroscience (639 citations), Molecular Biology (1.5k citations), Endocrine and Autonomic Systems (134 citations) and Sensory Systems (93 citations). Boxun Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yu Ding, Wanlin Wang, Yiyan Fei, Dejian Ren, Yuhua Fu, Sudipto Das, Jin Liu, Yanhua Su, Shouqing Luo and James Palacino. Their work appears in journals such as Metallurgical and Materials Transactions B, Autophagy, Science Bulletin, Nature Chemical Biology 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.