Xiaobin Lu
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 1%
- Telomeres, Telomerase, and Senescence
Papers in ⓘ
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- Telomeres, Telomerase, and Senescence 9
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- Birth, Development, and Health 4
- 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)Joan Skurnick (2 shared papers)Tim D. Spector (4 shared papers)Calvin B. Harley (1 shared paper)
- Journals
- PLoS Genetics (2 papers)The Journals of Gerontology Series A (1 paper)The American Journal of Human Genetics (1 paper)American Journal of Clinical Nutrition (1 paper)Hypertension (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Xiaobin Lu
11 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 94
- Aging 438
- Physiology 1.3k
- Pediatrics, Perinatology and Child Health 238
- Geriatrics and Gerontology 47
- Endocrine and Autonomic Systems 61
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 | 339 | |
| 2 | 2005 | 294 | |
| 3 | 2004 | 238 | |
| 4 | 2008 | 207 | |
| 5 | 2006 | 206 | |
| 6 | 2007 | 173 | |
| 7 | 2007 | 81 | |
| 8 | 2011 | 38 | |
| 9 | 2005 | 4 | |
| 10 | 2015 | 3 | |
| 11 | 2014 | 2 | |
| 12 | 2025 | 1 |
About Xiaobin Lu
Xiaobin Lu is a scholar working on Physiology, Pediatrics, Perinatology and Child Health, Molecular Biology, Aging and Organic Chemistry, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (9 papers), Birth, Development, and Health (4 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Single-cell and spatial transcriptomics (1 paper), Mesenchymal stem cell research (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Membrane Separation Technologies (1 paper) and Nutritional Studies and Diet (1 paper). The work is most often cited by research in Aging (438 citations), Physiology (1.3k citations), Pediatrics, Perinatology and Child Health (238 citations), Geriatrics and Gerontology (47 citations) and Endocrine and Autonomic Systems (61 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, Joan Skurnick, Tim D. Spector, Calvin B. Harley, R. Stone and Gerald S. Berenson. Their work appears in journals such as PLoS Genetics, The Journals of Gerontology Series A, The American Journal of Human Genetics, American Journal of Clinical Nutrition and Hypertension.
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.