Xinyu Wang
- Developmental Neuroscience top 5%
- Biological Psychiatry top 5%
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 12
- RNA modifications and cancer 7
- Photosynthetic Processes and Mechanisms 4
- Advanced biosensing and bioanalysis techniques 4
- RNA Research and Splicing 4
- Genomics and Chromatin Dynamics 3
- Plant biochemistry and biosynthesis 3
- Neurology top 5%
- Behavioral Neuroscience top 10%
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- Acute Myeloid Leukemia Research 4
- Co-authors
- Ralph MazitschekStephen J. HaggartyRudolf JaenischJun GaoJan‐Hermen DannenbergThomas J.F. NielandLi-Huei TsaiYing Zhou
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xinyu Wang
73 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Developmental Neuroscience 159
- Biological Psychiatry 91
- Molecular Biology 1.6k
- Neurology 158
- Behavioral Neuroscience 64
Countries citing papers authored by Xinyu Wang
This map shows the geographic impact of Xinyu 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 Xinyu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyu Wang more than expected).
Fields of papers citing papers by Xinyu Wang
This network shows the impact of papers produced by Xinyu 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 Xinyu Wang. The network helps show where Xinyu Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xinyu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2022 | 61 | |
| 19 | 2021 | 14 | |
| 20 | 2016 | 14 |
About Xinyu Wang
Xinyu Wang is a scholar working on Aging, Molecular Biology and Hematology, having authored 86 papers that have together received 2.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), RNA modifications and cancer (7 papers), Acute Myeloid Leukemia Research (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), RNA Research and Splicing (4 papers), Genomics and Chromatin Dynamics (3 papers) and Plant biochemistry and biosynthesis (3 papers). The work is most often cited by research in Developmental Neuroscience (159 citations), Biological Psychiatry (91 citations) and Molecular Biology (1.6k citations). Xinyu Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ralph Mazitschek, Stephen J. Haggarty, Rudolf Jaenisch, Jun Gao, Jan‐Hermen Dannenberg, Thomas J.F. Nieland, Li-Huei Tsai, Ying Zhou, Nadine F. Joseph and Ji‐Song Guan. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.