Xiaobing Qing
Impact in
- Aging top 10%
-
- Nuclear Receptors and Signaling
- Neuroscience and Neural Engineering
Papers in
-
- Pluripotent Stem Cells Research 6
- DNA Repair Mechanisms 3
- Epigenetics and DNA Methylation 3
- CRISPR and Genetic Engineering 3
- Histone Deacetylase Inhibitors Research 2
- Mitochondrial Function and Pathology 2
-
- Nuclear Receptors and Signaling 2
- Co-authors
- Jens C. Schwamborn (7 shared papers)Javier Jarazo (6 shared papers)Jonas Walter (5 shared papers)Jonathan Arias (3 shared papers)Sarah Nickels (4 shared papers)Luis Salamanca (2 shared papers)Paul Antony (3 shared papers)Silvia Bolognin (3 shared papers)
- Journals
- Stem Cell Reports (2 papers)Frontiers in Aging Neuroscience (1 paper)Cell Death and Disease (1 paper)Frontiers in Genetics (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- GermanyLuxembourgChina
In The Last Decade
Xiaobing Qing
13 papers receiving 430 citations
Peers
Comparison fields: 5 of 55
- Aging 20
- Cellular and Molecular Neuroscience 157
- Neurology 117
- Developmental Neuroscience 26
- Business and International Management 11
Countries citing papers authored by Xiaobing Qing
This map shows the geographic impact of Xiaobing Qing'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 Xiaobing Qing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobing Qing more than expected).
Fields of papers citing papers by Xiaobing Qing
This network shows the impact of papers produced by Xiaobing Qing. 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 Xiaobing Qing. The network helps show where Xiaobing Qing may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobing Qing, 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 | 2018 | 106 | |
| 2 | 2019 | 74 | |
| 3 | 2017 | 62 | |
| 4 | 2017 | 61 | |
| 5 | 2017 | 60 | |
| 6 | 2019 | 16 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 12 | |
| 9 | 2019 | 10 | |
| 10 | 2013 | 9 | |
| 11 | 2019 | 6 | |
| 12 | 2022 | 3 | |
| 13 | 2025 | 1 |
About Xiaobing Qing
Xiaobing Qing is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Cell Biology and Genetics, having authored 13 papers that have together received 434 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), DNA Repair Mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers), CRISPR and Genetic Engineering (3 papers), Histone Deacetylase Inhibitors Research (2 papers), Nuclear Receptors and Signaling (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Aging (20 citations), Cellular and Molecular Neuroscience (157 citations), Neurology (117 citations), Developmental Neuroscience (26 citations) and Business and International Management (11 citations). Xiaobing Qing has collaborated with scholars based in Germany, Luxembourg and China. Frequent co-authors include Jens C. Schwamborn, Javier Jarazo, Jonas Walter, Jonathan Arias, Sarah Nickels, Luis Salamanca, Paul Antony, Silvia Bolognin, Kobi Wasner and Holm Zaehres. Their work appears in journals such as Stem Cell Reports, Frontiers in Aging Neuroscience, Cell Death and Disease, Frontiers in Genetics and Journal of Biological Chemistry.
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.