Xianping Long
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Extracellular vesicles in disease
- Circular RNAs in diseases
Papers in
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- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 3
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- Circular RNAs in diseases 6
- Extracellular vesicles in disease 3
- RNA modifications and cancer 2
- Cancer-related gene regulation 2
- Co-authors
- Bei Shi (13 shared papers)Ranzun Zhao (9 shared papers)Zhenglong Wang (3 shared papers)Wenwen Deng (4 shared papers)Yan Wang (6 shared papers)Junbo Ge (3 shared papers)Yan Wang (2 shared papers)Weiwei Liu (4 shared papers)
In The Last Decade
Xianping Long
15 papers receiving 441 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 277
- Molecular Biology 365
- Genetics 36
- Cardiology and Cardiovascular Medicine 62
- Neurology 13
Countries citing papers authored by Xianping Long
This map shows the geographic impact of Xianping Long'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 Xianping Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianping Long more than expected).
Fields of papers citing papers by Xianping Long
This network shows the impact of papers produced by Xianping Long. 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 Xianping Long. The network helps show where Xianping Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Xianping Long, 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 | 2019 | 127 | |
| 2 | 2018 | 89 | |
| 3 | 2018 | 87 | |
| 4 | 2021 | 39 | |
| 5 | 2016 | 34 | |
| 6 | 2017 | 23 | |
| 7 | 2022 | 12 | |
| 8 | 2014 | 10 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 3 | |
| 12 | 2025 | 2 | |
| 13 | [Effect of mesenchymal stem cells on cardiac function and restenosis of injured artery after myocardial infarction]. | 2011 | 2 |
| 14 | [Effects of hRAMP1 modified mesenchymal stem cells on restenosis and heart function in rabbit model of carotid angioplasty and myocardial infarction]. | 2012 | 2 |
| 15 | 2024 | 1 |
About Xianping Long
Xianping Long is a scholar working on Cancer Research, Molecular Biology, Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 443 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers), Extracellular vesicles in disease (3 papers), Cancer-related molecular mechanisms research (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Fuel Cells and Related Materials (3 papers), RNA modifications and cancer (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (277 citations), Molecular Biology (365 citations), Genetics (36 citations), Cardiology and Cardiovascular Medicine (62 citations) and Neurology (13 citations). Xianping Long has collaborated with scholars based in China and Malaysia. Frequent co-authors include Bei Shi, Ranzun Zhao, Zhenglong Wang, Wenwen Deng, Yan Wang, Junbo Ge, Yan Wang, Weiwei Liu, Debin Liu and Weiwei Liu. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Cell Death Discovery, Ecotoxicology and Environmental Safety, In Vitro Cellular & Developmental Biology - Animal and Molecular Therapy — Nucleic Acids.
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.