Xiaoling He
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
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- Nerve injury and regeneration
- Neuroscience and Neuropharmacology Research
Papers in ⓘ
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- Neurogenesis and neuroplasticity mechanisms 8
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- Gestational Diabetes Research and Management 4
- Pregnancy and preeclampsia studies 4
- Co-authors
- Maeve A. Caldwell (8 shared papers)Clive N. Svendsen (4 shared papers)S. E. Pollack (1 shared paper)Neil Wilkie (1 shared paper)George Marshall (1 shared paper)Keith A. Wafford (1 shared paper)Kuniaki Takata (1 shared paper)Tomoaki Shirao (1 shared paper)
- Journals
- Experimental Neurology (3 papers)European Journal of Neuroscience (2 papers)Diabetes (2 papers)Tumor Biology (2 papers)Molecular Psychiatry (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xiaoling He
51 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 112
- Developmental Neuroscience 413
- Cellular and Molecular Neuroscience 370
- Neurology 113
- Genetics 145
- Molecular Biology 770
Countries citing papers authored by Xiaoling He
This map shows the geographic impact of Xiaoling He'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 Xiaoling He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling He more than expected).
Fields of papers citing papers by Xiaoling He
This network shows the impact of papers produced by Xiaoling He. 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 Xiaoling He. The network helps show where Xiaoling He may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling He, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 274 | |
| 2 | 1996 | 185 | |
| 3 | 2023 | 86 | |
| 4 | 2020 | 63 | |
| 5 | 2016 | 60 | |
| 6 | 2004 | 56 | |
| 7 | 2019 | 55 | |
| 8 | 2004 | 53 | |
| 9 | 2007 | 49 | |
| 10 | 2015 | 48 | |
| 11 | 2011 | 41 | |
| 12 | 2005 | 39 | |
| 13 | 2015 | 32 | |
| 14 | 2014 | 30 | |
| 15 | 2011 | 29 | |
| 16 | 2022 | 27 | |
| 17 | 2015 | 25 | |
| 18 | 2019 | 22 | |
| 19 | 2007 | 21 | |
| 20 | 2021 | 20 |
About Xiaoling He
Xiaoling He is a scholar working on Developmental Neuroscience, Obstetrics and Gynecology, Neurology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (8 papers), Nerve injury and regeneration (7 papers), Pluripotent Stem Cells Research (7 papers), Gestational Diabetes Research and Management (4 papers), Epigenetics and DNA Methylation (4 papers), Pregnancy and preeclampsia studies (4 papers), Fatty Acid Research and Health (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Developmental Neuroscience (413 citations), Cellular and Molecular Neuroscience (370 citations), Neurology (113 citations), Genetics (145 citations) and Molecular Biology (770 citations). Xiaoling He has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Maeve A. Caldwell, Clive N. Svendsen, S. E. Pollack, Neil Wilkie, George Marshall, Keith A. Wafford, Kuniaki Takata, Tomoaki Shirao, Ryoki Ishikawa and Kensuke Hayashi. Their work appears in journals such as Experimental Neurology, European Journal of Neuroscience, Diabetes, Tumor Biology and Molecular Psychiatry.
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.