Xiaodan Fan
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
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- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Gene expression and cancer classification
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
Papers in
-
- Bioinformatics and Genomic Networks 10
- Gene expression and cancer classification 9
- Machine Learning in Bioinformatics 7
- Genomics and Phylogenetic Studies 7
- Protein Structure and Dynamics 6
- RNA and protein synthesis mechanisms 6
- Single-cell and spatial transcriptomics 5
- Co-authors
- Weichuan Yu (3 shared papers)Can Yang (1 shared paper)Hong Xue (1 shared paper)Nelson L.S. Tang (1 shared paper)Xiang Wan (1 shared paper)Qiang Yang (1 shared paper)Cong Pian (6 shared papers)Fei Li (3 shared papers)
- Journals
- Bioinformatics (6 papers)PLoS ONE (3 papers)Briefings in Bioinformatics (3 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (3 papers)BMC Bioinformatics (2 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Xiaodan Fan
69 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 129
- Genetics 348
- Molecular Biology 618
- Equine 13
- Cancer Research 68
- Statistics and Probability 24
Countries citing papers authored by Xiaodan Fan
This map shows the geographic impact of Xiaodan 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 Xiaodan Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Fan more than expected).
Fields of papers citing papers by Xiaodan Fan
This network shows the impact of papers produced by Xiaodan 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 Xiaodan Fan. The network helps show where Xiaodan Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodan 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 366 | |
| 2 | 2017 | 134 | |
| 3 | 2013 | 73 | |
| 4 | 2019 | 61 | |
| 5 | 2002 | 46 | |
| 6 | 2021 | 45 | |
| 7 | 2017 | 31 | |
| 8 | 2013 | 29 | |
| 9 | 2018 | 21 | |
| 10 | 2019 | 19 | |
| 11 | 2023 | 19 | |
| 12 | 2018 | 18 | |
| 13 | 2016 | 17 | |
| 14 | 2020 | 17 | |
| 15 | 2017 | 17 | |
| 16 | 2022 | 16 | |
| 17 | 2021 | 16 | |
| 18 | 2014 | 16 | |
| 19 | 2020 | 14 | |
| 20 | 2024 | 13 |
About Xiaodan Fan
Xiaodan Fan is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Statistics and Probability and Cancer Research, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (9 papers), Machine Learning in Bioinformatics (7 papers), Genomics and Phylogenetic Studies (7 papers), Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers), Single-cell and spatial transcriptomics (5 papers) and Statistical Methods and Inference (5 papers). The work is most often cited by research in Genetics (348 citations), Molecular Biology (618 citations), Equine (13 citations), Cancer Research (68 citations) and Statistics and Probability (24 citations). Xiaodan Fan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Weichuan Yu, Can Yang, Hong Xue, Nelson L.S. Tang, Xiang Wan, Qiang Yang, Cong Pian, Fei Li, Hangjin Jiang and Yanda Li. Their work appears in journals such as Bioinformatics, PLoS ONE, Briefings in Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and BMC Bioinformatics.
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.