Peining Xu
Impact in
-
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
-
- Mitochondrial Function and Pathology 4
- Metabolomics and Mass Spectrometry Studies 2
- DNA Repair Mechanisms 1
-
- Genetic Neurodegenerative Diseases 4
- Co-authors
- Nathaniel W. Snyder (9 shared papers)Mary T. Doan (8 shared papers)Helen Jiang (6 shared papers)Clementina Mesaros (9 shared papers)Michael R. MacArthur (1 shared paper)Jiahui Lei (1 shared paper)Xia Gao (1 shared paper)Yong Kong (1 shared paper)
- Journals
- Journal of Lipid Research (2 papers)Marine Biology (1 paper)Systems Biology in Reproductive Medicine (1 paper)JCI Insight (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesAustriaChina
In The Last Decade
Peining Xu
17 papers receiving 329 citations
Peers
Comparison fields: 5 of 80
- Immunology 83
- Biological Psychiatry 7
- Cellular and Molecular Neuroscience 46
- Cancer Research 35
- Molecular Biology 170
Countries citing papers authored by Peining Xu
This map shows the geographic impact of Peining Xu'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 Peining Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peining Xu more than expected).
Fields of papers citing papers by Peining Xu
This network shows the impact of papers produced by Peining Xu. 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 Peining Xu. The network helps show where Peining Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Peining Xu, 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 | 2019 | 158 | |
| 2 | 2022 | 22 | |
| 3 | 2019 | 20 | |
| 4 | 2020 | 18 | |
| 5 | 2022 | 17 | |
| 6 | 2023 | 14 | |
| 7 | 2019 | 11 | |
| 8 | 2004 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2018 | 9 | |
| 12 | 2018 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2021 | 5 | |
| 15 | 2014 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2022 | 1 | |
| 18 | 2020 | 0 |
About Peining Xu
Peining Xu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Clinical Biochemistry, Pediatrics, Perinatology and Child Health and Oncology, having authored 18 papers that have together received 330 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (4 papers), Mitochondrial Function and Pathology (4 papers), Metabolism and Genetic Disorders (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Cancer Risks and Factors (2 papers), DNA Repair Mechanisms (1 paper), Gestational Diabetes Research and Management (1 paper) and Fatty Acid Research and Health (1 paper). The work is most often cited by research in Immunology (83 citations), Biological Psychiatry (7 citations), Cellular and Molecular Neuroscience (46 citations), Cancer Research (35 citations) and Molecular Biology (170 citations). Peining Xu has collaborated with scholars based in United States, Austria and China. Frequent co-authors include Nathaniel W. Snyder, Mary T. Doan, Helen Jiang, Clementina Mesaros, Michael R. MacArthur, Jiahui Lei, Xia Gao, Yong Kong, Edward T. Chouchani and P. Kent Langston. Their work appears in journals such as Journal of Lipid Research, Marine Biology, Systems Biology in Reproductive Medicine, JCI Insight and PLoS ONE.
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.