Xiaoying Fan
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Developmental Neuroscience top 5%
Papers in
-
- Single-cell and spatial transcriptomics 10
- RNA Research and Splicing 6
- Circular RNAs in diseases 3
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 2
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 5
- Cancer Genomics and Diagnostics 2
- Co-authors
- Fuchou Tang (12 shared papers)Lu Wen (10 shared papers)Xinglong Wu (5 shared papers)Ji Dong (5 shared papers)Jie Qiao (6 shared papers)Jun Yong (5 shared papers)Liying Yan (3 shared papers)Yuqiong Hu (2 shared papers)
- Journals
- Genome biology (3 papers)Advances in Clinical and Experimental Medicine (2 papers)Cell Reports (2 papers)Science Advances (2 papers)Protein & Cell (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Xiaoying Fan
24 papers receiving 1.6k citations
Xiaoying Fan's Hit Papers
Peers
Comparison fields: 5 of 107
- Cancer Research 419
- Developmental Neuroscience 95
- Molecular Biology 1.3k
- Neurology 108
- Biophysics 47
Countries citing papers authored by Xiaoying Fan
This map shows the geographic impact of Xiaoying Fan'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 Xiaoying Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoying Fan more than expected).
Fields of papers citing papers by Xiaoying Fan
This network shows the impact of papers produced by Xiaoying Fan. 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 Xiaoying Fan. The network helps show where Xiaoying Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoying Fan, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-Cell Transcriptome Analysis Maps the Developmental Track of the Human Heart Hit paper breakdown → | 2019 | 309 |
| 2 | 2016 | 142 | |
| 3 | 2015 | 137 | |
| 4 | 2020 | 136 | |
| 5 | 2018 | 136 | |
| 6 | 2018 | 127 | |
| 7 | 2020 | 93 | |
| 8 | 2020 | 89 | |
| 9 | 2021 | 71 | |
| 10 | 2020 | 62 | |
| 11 | 2020 | 58 | |
| 12 | 2021 | 56 | |
| 13 | 2022 | 38 | |
| 14 | 2023 | 33 | |
| 15 | 2021 | 24 | |
| 16 | 2019 | 16 | |
| 17 | 2017 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2020 | 11 | |
| 20 | 2018 | 7 |
About Xiaoying Fan
Xiaoying Fan is a scholar working on Molecular Biology, Cancer Research, Oncology, Cardiology and Cardiovascular Medicine and Surgery, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), RNA Research and Splicing (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (3 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (419 citations), Developmental Neuroscience (95 citations), Molecular Biology (1.3k citations), Neurology (108 citations) and Biophysics (47 citations). Xiaoying Fan has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Fuchou Tang, Lu Wen, Xinglong Wu, Ji Dong, Jie Qiao, Jun Yong, Liying Yan, Yuqiong Hu, Hongshan Guo and Qingqing Li. Their work appears in journals such as Genome biology, Advances in Clinical and Experimental Medicine, Cell Reports, Science Advances and Protein & Cell.
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.