Xiaoting Wu
Impact in
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- Neuroscience and Neuropharmacology Research
Papers in
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- David Chaim Rubinsztein (3 shared papers)Fiona M. Menzies (2 shared papers)Mariana Pavel Tanasa (2 shared papers)Robert C. Malenka (3 shared papers)Wade Morishita (2 shared papers)Thomas C. Ricketts (1 shared paper)Angeleen Fleming (1 shared paper)Herbert W. Virgin (1 shared paper)
- Journals
- Nature Communications (2 papers)Nature (2 papers)Biochemical Society Transactions (1 paper)Neuron (1 paper)Current Opinion in Neurobiology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoting Wu
13 papers receiving 565 citations
Peers
Comparison fields: 5 of 84
- Cellular and Molecular Neuroscience 122
- Developmental Neuroscience 25
- Aging 11
- Epidemiology 161
- Neurology 39
Countries citing papers authored by Xiaoting Wu
This map shows the geographic impact of Xiaoting Wu'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 Xiaoting Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Wu more than expected).
Fields of papers citing papers by Xiaoting Wu
This network shows the impact of papers produced by Xiaoting Wu. 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 Xiaoting Wu. The network helps show where Xiaoting Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 166 | |
| 2 | 2016 | 108 | |
| 3 | 2021 | 75 | |
| 4 | 2019 | 66 | |
| 5 | 2024 | 50 | |
| 6 | 2013 | 45 | |
| 7 | 2023 | 22 | |
| 8 | 2020 | 20 | |
| 9 | 2025 | 6 | |
| 10 | [Effects of the different culture and isolation methods on the growth, proliferation and biology characteristics of rat bone marrow mesenchymal stem cells]. | 2009 | 5 |
| 11 | 2022 | 4 | |
| 12 | [Overexpression of CD47 inhibits apoptosis of SW480 human colon cancer cells by blocking Fas/FasL pathway]. | 2021 | 2 |
| 13 | 2025 | 1 | |
| 14 | 2024 | 0 |
About Xiaoting Wu
Xiaoting Wu is a scholar working on Cancer Research, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Immunology and Social Psychology, having authored 14 papers that have together received 570 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (3 papers), Neuroendocrine regulation and behavior (3 papers), Epigenetics and DNA Methylation (3 papers), Memory and Neural Mechanisms (2 papers), Neural dynamics and brain function (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Phagocytosis and Immune Regulation (2 papers) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (122 citations), Developmental Neuroscience (25 citations), Aging (11 citations), Epidemiology (161 citations) and Neurology (39 citations). Xiaoting Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include David Chaim Rubinsztein, Fiona M. Menzies, Mariana Pavel Tanasa, Robert C. Malenka, Wade Morishita, Thomas C. Ricketts, Angeleen Fleming, Herbert W. Virgin, Hyeran Won and Kevin Thomas Beier. Their work appears in journals such as Nature Communications, Nature, Biochemical Society Transactions, Neuron and Current Opinion in Neurobiology.
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.