Aiping Lu
Impact in
Papers in
-
- Muscle Physiology and Disorders 22
- Nuclear Structure and Function 3
- Genetics 19
- Mesenchymal stem cell research 18
- Co-authors
- Johnny Huard (12 shared papers)Ying Tang (11 shared papers)Bing Wang (11 shared papers)Arvydas Ūsas (5 shared papers)Xueqin Gao (11 shared papers)Paul D. Robbins (5 shared papers)Jonathan D. Proto (7 shared papers)Laura J. Niedernhofer (4 shared papers)
- Journals
- The FASEB Journal (5 papers)Human Molecular Genetics (3 papers)Molecular Therapy — Methods & Clinical Development (3 papers)Molecular Therapy (3 papers)Gene Therapy (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Aiping Lu
43 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 90
- Aging 57
- Genetics 279
- Urology 67
- Molecular Biology 579
- Cancer Research 104
Countries citing papers authored by Aiping Lu
This map shows the geographic impact of Aiping 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 Aiping Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aiping Lu more than expected).
Fields of papers citing papers by Aiping Lu
This network shows the impact of papers produced by Aiping 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 Aiping Lu. The network helps show where Aiping Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Aiping 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 161 | |
| 2 | 2008 | 89 | |
| 3 | 2014 | 73 | |
| 4 | 2015 | 54 | |
| 5 | 2018 | 51 | |
| 6 | 2011 | 51 | |
| 7 | 2014 | 49 | |
| 8 | 2014 | 45 | |
| 9 | 2013 | 45 | |
| 10 | 2013 | 44 | |
| 11 | 2019 | 35 | |
| 12 | 2009 | 35 | |
| 13 | 2015 | 35 | |
| 14 | 2015 | 34 | |
| 15 | 2012 | 32 | |
| 16 | Liver transplant candidate stratification systems. Implications for third-party payors and organ allocation. | 1994 | 32 |
| 17 | 2010 | 30 | |
| 18 | 2022 | 18 | |
| 19 | 2008 | 17 | |
| 20 | 2016 | 14 |
About Aiping Lu
Aiping Lu is a scholar working on Molecular Biology, Genetics, Surgery, Physiology and Urology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (22 papers), Mesenchymal stem cell research (18 papers), Telomeres, Telomerase, and Senescence (5 papers), Periodontal Regeneration and Treatments (5 papers), Adipose Tissue and Metabolism (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Bone Tissue Engineering Materials (4 papers) and Nuclear Structure and Function (3 papers). The work is most often cited by research in Aging (57 citations), Genetics (279 citations), Urology (67 citations), Molecular Biology (579 citations) and Cancer Research (104 citations). Aiping Lu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Johnny Huard, Ying Tang, Bing Wang, Arvydas Ūsas, Xueqin Gao, Paul D. Robbins, Jonathan D. Proto, Laura J. Niedernhofer, James H. Cummins and Johnny Huard. Their work appears in journals such as The FASEB Journal, Human Molecular Genetics, Molecular Therapy — Methods & Clinical Development, Molecular Therapy and Gene Therapy.
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.