Xiaofei Li
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
Papers in
-
- Renal and related cancers 5
- Developmental Biology and Gene Regulation 3
- Epigenetics and DNA Methylation 3
-
- Nerve injury and regeneration 4
- Co-authors
- Markus Noll (3 shared papers)Nicolas Guérout (6 shared papers)Fanie Barnabé‐Heider (4 shared papers)Erik Sundström (7 shared papers)Thomas Gutjahr (1 shared paper)Karl J. L. Fernandes (2 shared papers)Lijuan Hu (3 shared papers)Sten Linnarsson (4 shared papers)
- Journals
- The EMBO Journal (3 papers)Nature Communications (2 papers)Plant Biotechnology Journal (2 papers)Journal of Neurotrauma (2 papers)Experimental Cell Research (2 papers)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Xiaofei Li
50 papers receiving 961 citations
Peers
Comparison fields: 5 of 106
- Developmental Neuroscience 120
- Neurology 77
- Cellular and Molecular Neuroscience 145
- Molecular Biology 476
- Cancer Research 67
Countries citing papers authored by Xiaofei Li
This map shows the geographic impact of Xiaofei Li'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 Xiaofei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofei Li more than expected).
Fields of papers citing papers by Xiaofei Li
This network shows the impact of papers produced by Xiaofei Li. 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 Xiaofei Li. The network helps show where Xiaofei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofei Li, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 110 | |
| 2 | 1994 | 80 | |
| 3 | 1993 | 57 | |
| 4 | 2016 | 52 | |
| 5 | 2017 | 49 | |
| 6 | 2006 | 45 | |
| 7 | 2020 | 43 | |
| 8 | 2013 | 43 | |
| 9 | 2016 | 35 | |
| 10 | 1993 | 33 | |
| 11 | 2014 | 32 | |
| 12 | 2022 | 27 | |
| 13 | 2018 | 26 | |
| 14 | 2023 | 24 | |
| 15 | 2024 | 23 | |
| 16 | 2016 | 23 | |
| 17 | 2020 | 21 | |
| 18 | 2024 | 20 | |
| 19 | 2024 | 16 | |
| 20 | 2021 | 15 |
About Xiaofei Li
Xiaofei Li is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cancer Research and Surgery, having authored 52 papers that have together received 968 indexed citations. Recurring topics across this work include Renal and related cancers (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Nerve injury and regeneration (4 papers), Spinal Cord Injury Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), MicroRNA in disease regulation (4 papers), Developmental Biology and Gene Regulation (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Developmental Neuroscience (120 citations), Neurology (77 citations), Cellular and Molecular Neuroscience (145 citations), Molecular Biology (476 citations) and Cancer Research (67 citations). Xiaofei Li has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Markus Noll, Nicolas Guérout, Fanie Barnabé‐Heider, Erik Sundström, Thomas Gutjahr, Karl J. L. Fernandes, Lijuan Hu, Sten Linnarsson, Elisa M. Floriddia and Roger A. Barker. Their work appears in journals such as The EMBO Journal, Nature Communications, Plant Biotechnology Journal, Journal of Neurotrauma and Experimental Cell 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.