Xiaobin Lu
Impact in
- Physiology top 1%
- Telomeres, Telomerase, and Senescence
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
- Physiology 10
- Telomeres, Telomerase, and Senescence 10
-
- Vitamin D Research Studies 1
- Co-authors
- Abraham Aviv (9 shared papers)Masayuki Kimura (8 shared papers)Jeffrey P. Gardner (6 shared papers)Xiaojian Cao (3 shared papers)Steven C. Hunt (3 shared papers)Tim D. Spector (4 shared papers)Joan Skurnick (2 shared papers)Calvin B. Harley (1 shared paper)
- Journals
- PLoS Genetics (2 papers)Hypertension (1 paper)The American Journal of Human Genetics (1 paper)The Journals of Gerontology Series A (1 paper)Aging Cell (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Xiaobin Lu
13 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 84
- Physiology 1.5k
- Aging 47
- Reproductive Medicine 75
- Pathology and Forensic Medicine 104
- Genetics 144
Countries citing papers authored by Xiaobin Lu
This map shows the geographic impact of Xiaobin 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 Xiaobin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobin Lu more than expected).
Fields of papers citing papers by Xiaobin Lu
This network shows the impact of papers produced by Xiaobin 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 Xiaobin Lu. The network helps show where Xiaobin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobin 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 | 2010 | 373 | |
| 2 | 2005 | 312 | |
| 3 | 2004 | 262 | |
| 4 | 2008 | 229 | |
| 5 | 2006 | 227 | |
| 6 | 2010 | 227 | |
| 7 | 2007 | 197 | |
| 8 | 2007 | 88 | |
| 9 | 2011 | 41 | |
| 10 | 2005 | 3 | |
| 11 | 2015 | 3 | |
| 12 | 2019 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 1 |
About Xiaobin Lu
Xiaobin Lu is a scholar working on Physiology, Pathology and Forensic Medicine, Electronic, Optical and Magnetic Materials, Computational Mechanics and Computer Networks and Communications, having authored 14 papers that have together received 2k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (10 papers), Privacy-Preserving Technologies in Data (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Vitamin D Research Studies (1 paper), Plasmonic and Surface Plasmon Research (1 paper), Granular flow and fluidized beds (1 paper), Network Security and Intrusion Detection (1 paper) and Gold and Silver Nanoparticles Synthesis and Applications (1 paper). The work is most often cited by research in Physiology (1.5k citations), Aging (47 citations), Reproductive Medicine (75 citations), Pathology and Forensic Medicine (104 citations) and Genetics (144 citations). Xiaobin Lu has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Abraham Aviv, Masayuki Kimura, Jeffrey P. Gardner, Xiaojian Cao, Steven C. Hunt, Tim D. Spector, Joan Skurnick, Calvin B. Harley, Rivka C. Stone and Ana Maria Valdes. Their work appears in journals such as PLoS Genetics, Hypertension, The American Journal of Human Genetics, The Journals of Gerontology Series A and Aging Cell.
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.