Xiaolan Fan
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Genomics and Phylogenetic Studies 7
- Gut microbiota and health 6
- RNA Research and Splicing 5
- Aging 16
- Genetics, Aging, and Longevity in Model Organisms 16
- Co-authors
- Mingyao Yang (54 shared papers)Deying Yang (36 shared papers)Diyan Li (29 shared papers)Uma Gaur (15 shared papers)Weidong Le (8 shared papers)Mingwang Zhang (23 shared papers)Dehua Yang (7 shared papers)Zhongxian Xu (8 shared papers)
- Journals
- International Journal of Molecular Sciences (7 papers)Mechanisms of Ageing and Development (4 papers)Aging (4 papers)Frontiers in Genetics (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaolan Fan
73 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- Aging 170
- Cancer Research 242
- Molecular Biology 867
- Biological Psychiatry 29
- Cellular and Molecular Neuroscience 209
Countries citing papers authored by Xiaolan Fan
This map shows the geographic impact of Xiaolan 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 Xiaolan Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Fan more than expected).
Fields of papers citing papers by Xiaolan Fan
This network shows the impact of papers produced by Xiaolan 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 Xiaolan Fan. The network helps show where Xiaolan Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolan 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 126 | |
| 2 | 2019 | 94 | |
| 3 | 2020 | 93 | |
| 4 | 2022 | 90 | |
| 5 | 2021 | 85 | |
| 6 | 2015 | 65 | |
| 7 | 2009 | 62 | |
| 8 | 2022 | 62 | |
| 9 | 2020 | 61 | |
| 10 | 2016 | 60 | |
| 11 | 2009 | 59 | |
| 12 | 2020 | 55 | |
| 13 | 2020 | 53 | |
| 14 | 2019 | 52 | |
| 15 | 2015 | 33 | |
| 16 | 2016 | 33 | |
| 17 | 2008 | 31 | |
| 18 | 2007 | 31 | |
| 19 | 2009 | 31 | |
| 20 | 2020 | 28 |
About Xiaolan Fan
Xiaolan Fan is a scholar working on Molecular Biology, Aging, Immunology, Cancer Research and Cellular and Molecular Neuroscience, having authored 77 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Cancer-related molecular mechanisms research (11 papers), Genomics and Phylogenetic Studies (7 papers), Autophagy in Disease and Therapy (6 papers), Aquaculture disease management and microbiota (6 papers), Gut microbiota and health (6 papers), Invertebrate Immune Response Mechanisms (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Aging (170 citations), Cancer Research (242 citations), Molecular Biology (867 citations), Biological Psychiatry (29 citations) and Cellular and Molecular Neuroscience (209 citations). Xiaolan Fan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mingyao Yang, Deying Yang, Diyan Li, Uma Gaur, Weidong Le, Mingwang Zhang, Dehua Yang, Zhongxian Xu, Bo Zeng and Zhi He. Their work appears in journals such as International Journal of Molecular Sciences, Mechanisms of Ageing and Development, Aging, Frontiers in Genetics and PLoS ONE.
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.