Xingping Wang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Agronomy and Crop Science top 10%
- Milk Quality and Mastitis in Dairy Cows
Papers in
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- Cancer-related molecular mechanisms research 19
- MicroRNA in disease regulation 12
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- Circular RNAs in diseases 9
- RNA modifications and cancer 6
- RNA Research and Splicing 3
- Co-authors
- Zhuoma Luoreng (23 shared papers)Dawei Wei (17 shared papers)Jian Yang (6 shared papers)Yun Ma (6 shared papers)Peng Jiao (4 shared papers)Jinpeng Wang (11 shared papers)Jia Li (1 shared paper)Jieping Huang (1 shared paper)
- Journals
- Animals (4 papers)Frontiers in Veterinary Science (4 papers)Cells (3 papers)International Journal of Biological Macromolecules (3 papers)Research in Veterinary Science (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Xingping Wang
31 papers receiving 428 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 185
- Agronomy and Crop Science 59
- Animal Science and Zoology 36
- Molecular Biology 201
- Genetics 79
Countries citing papers authored by Xingping Wang
This map shows the geographic impact of Xingping Wang'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 Xingping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingping Wang more than expected).
Fields of papers citing papers by Xingping Wang
This network shows the impact of papers produced by Xingping Wang. 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 Xingping Wang. The network helps show where Xingping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingping Wang, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 93 | |
| 2 | 2017 | 53 | |
| 3 | 2020 | 32 | |
| 4 | 2023 | 26 | |
| 5 | 2022 | 25 | |
| 6 | 2021 | 25 | |
| 7 | 2021 | 23 | |
| 8 | 2022 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2017 | 13 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2024 | 4 |
About Xingping Wang
Xingping Wang is a scholar working on Cancer Research, Molecular Biology, Agronomy and Crop Science, Epidemiology and Genetics, having authored 35 papers that have together received 429 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (19 papers), MicroRNA in disease regulation (12 papers), Circular RNAs in diseases (9 papers), RNA modifications and cancer (6 papers), Milk Quality and Mastitis in Dairy Cows (5 papers), Genetic and phenotypic traits in livestock (4 papers), RNA Research and Splicing (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Cancer Research (185 citations), Agronomy and Crop Science (59 citations), Animal Science and Zoology (36 citations), Molecular Biology (201 citations) and Genetics (79 citations). Xingping Wang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Zhuoma Luoreng, Dawei Wei, Jian Yang, Yun Ma, Peng Jiao, Jinpeng Wang, Jia Li, Jieping Huang, Sayed Haidar Abbas Raza and Qichao Hu. Their work appears in journals such as Animals, Frontiers in Veterinary Science, Cells, International Journal of Biological Macromolecules and Research in Veterinary Science.
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.