Xiaoting Wu
Impact in
-
- Neuroscience and Neuropharmacology Research
Papers in
-
- Epigenetics and DNA Methylation 3
-
- Cancer-related molecular mechanisms research 2
- Co-authors
- David C. Rubinsztein (3 shared papers)Fiona M. Menzies (2 shared papers)Mariana Pavel-Tanasă (2 shared papers)Robert C. Malenka (3 shared papers)Wade Morishita (2 shared papers)Angeleen Fleming (1 shared paper)Thomas C. Ricketts (1 shared paper)Herbert W. Virgin (1 shared paper)
- Journals
- Nature Communications (2 papers)Nature (2 papers)Cancer Letters (1 paper)Technology in Cancer Research & Treatment (1 paper)Sensors and Actuators A Physical (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoting Wu
12 papers receiving 493 citations
Peers
Comparison fields: 5 of 83
- Cellular and Molecular Neuroscience 115
- Developmental Neuroscience 25
- Aging 10
- Neurology 37
- Epidemiology 155
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 | 152 | |
| 2 | 2016 | 99 | |
| 3 | 2019 | 62 | |
| 4 | 2021 | 61 | |
| 5 | 2013 | 40 | |
| 6 | 2024 | 35 | |
| 7 | 2020 | 17 | |
| 8 | 2023 | 16 | |
| 9 | [Effects of the different culture and isolation methods on the growth, proliferation and biology characteristics of rat bone marrow mesenchymal stem cells]. | 2009 | 5 |
| 10 | 2022 | 4 | |
| 11 | 2025 | 2 | |
| 12 | [Overexpression of CD47 inhibits apoptosis of SW480 human colon cancer cells by blocking Fas/FasL pathway]. | 2021 | 2 |
| 13 | 2024 | 0 | |
| 14 | 2025 | 0 |
About Xiaoting Wu
Xiaoting Wu is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Social Psychology and Cognitive Neuroscience, having authored 14 papers that have together received 495 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Neuroendocrine regulation and behavior (3 papers), Autophagy in Disease and Therapy (3 papers), Phagocytosis and Immune Regulation (2 papers), Memory and Neural Mechanisms (2 papers), Cancer-related molecular mechanisms research (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (115 citations), Developmental Neuroscience (25 citations), Aging (10 citations), Neurology (37 citations) and Epidemiology (155 citations). Xiaoting Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include David C. Rubinsztein, Fiona M. Menzies, Mariana Pavel-Tanasă, Robert C. Malenka, Wade Morishita, Angeleen Fleming, Thomas C. Ricketts, Herbert W. Virgin, Hyeran Won and Kevin T. Beier. Their work appears in journals such as Nature Communications, Nature, Cancer Letters, Technology in Cancer Research & Treatment and Sensors and Actuators A Physical.
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.