Xiaojian Cao
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms 2
- Physiology top 2%
- Telomeres, Telomerase, and Senescence 7
- Geriatrics and Gerontology top 10%
- Reproductive Medicine top 10%
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- Tuberculosis Research and Epidemiology 6
- SARS-CoV-2 and COVID-19 Research 2
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- interferon and immune responses 3
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- Mycobacterium research and diagnosis 3
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- Helicobacter pylori-related gastroenterology studies 2
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- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Masayuki KimuraAbraham AvivXiaobin LuSteven C. HuntJoan SkurnickJue LinAriel AvivMinoru Kimura
- Journals
- Nucleic Acids Research (1 paper)SHILAP Revista de lepidopterología (1 paper)Nature Protocols (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaojian Cao
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Aging 298
- Physiology 849
- Geriatrics and Gerontology 31
- Pediatrics, Perinatology and Child Health 152
- Reproductive Medicine 47
Countries citing papers authored by Xiaojian Cao
This map shows the geographic impact of Xiaojian Cao'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 Xiaojian Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojian Cao more than expected).
Fields of papers citing papers by Xiaojian Cao
This network shows the impact of papers produced by Xiaojian Cao. 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 Xiaojian Cao. The network helps show where Xiaojian Cao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaojian Cao, 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 | 2024 | 3 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 15 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 5 | |
| 12 | 2017 | 34 | |
| 13 | Telomere dynamics in keloids. | 2011 | 15 |
| 14 | 2011 | 260 | |
| 15 | 2010 | 339 | |
| 16 | 2008 | 207 | |
| 17 | 2007 | 81 | |
| 18 | 2007 | 76 | |
| 19 | 2007 | 46 | |
| 20 | 2005 | 6 |
About Xiaojian Cao
Xiaojian Cao is a scholar working on Aging, Infectious Diseases and Physiology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (7 papers), Tuberculosis Research and Epidemiology (6 papers), interferon and immune responses (3 papers), Mycobacterium research and diagnosis (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Aging (298 citations), Physiology (849 citations) and Geriatrics and Gerontology (31 citations). Xiaojian Cao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Masayuki Kimura, Abraham Aviv, Xiaobin Lu, Steven C. Hunt, Joan Skurnick, Jue Lin, Ariel Aviv, Minoru Kimura, S C Hunt and Elizabeth H. Blackburn. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Nature Protocols.
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.