Charles Xing
Impact in
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- Diabetes Treatment and Management
- Diet, Metabolism, and Disease
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- Neuropeptides and Animal Physiology
Papers in
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- Monoclonal and Polyclonal Antibodies Research 11
- Oncology 9
- CAR-T cell therapy research 4
- Co-authors
- Robert M. Jones (3 shared papers)David J. Unett (3 shared papers)James Leonard (3 shared papers)Zhi‐Liang Chu (3 shared papers)Jay M. Short (15 shared papers)Christopher J. Carroll (2 shared papers)William J. Boyle (14 shared papers)Gerhard Frey (15 shared papers)
- Journals
- Cancer Research (11 papers)mAbs (2 papers)Journal of Medicinal Chemistry (1 paper)Molecular Endocrinology (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Charles Xing
19 papers receiving 412 citations
Peers
Comparison fields: 5 of 61
- Endocrinology, Diabetes and Metabolism 178
- Cellular and Molecular Neuroscience 92
- Pharmacology 57
- Oncology 79
- Molecular Biology 196
Countries citing papers authored by Charles Xing
This map shows the geographic impact of Charles Xing'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 Charles Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Xing more than expected).
Fields of papers citing papers by Charles Xing
This network shows the impact of papers produced by Charles Xing. 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 Charles Xing. The network helps show where Charles Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Charles Xing, 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 | 2008 | 118 | |
| 2 | 2009 | 103 | |
| 3 | 2011 | 53 | |
| 4 | 2013 | 46 | |
| 5 | 2021 | 37 | |
| 6 | 2018 | 16 | |
| 7 | 2024 | 15 | |
| 8 | 2018 | 15 | |
| 9 | 2025 | 8 | |
| 10 | 2020 | 4 | |
| 11 | 2025 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2020 | 2 | |
| 14 | [Effects of heat stress on DA mediated PI signal transduction system in rat striatum]. | 2001 | 2 |
| 15 | 2019 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2019 | 1 |
About Charles Xing
Charles Xing is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology, Immunology and Organic Chemistry, having authored 20 papers that have together received 430 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Glycosylation and Glycoproteins Research (4 papers), CAR-T cell therapy research (4 papers), Diabetes Treatment and Management (3 papers), Cancer Research and Treatments (3 papers), Pancreatic function and diabetes (2 papers), Immunotherapy and Immune Responses (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (178 citations), Cellular and Molecular Neuroscience (92 citations), Pharmacology (57 citations), Oncology (79 citations) and Molecular Biology (196 citations). Charles Xing has collaborated with scholars based in United States and China. Frequent co-authors include Robert M. Jones, David J. Unett, James Leonard, Zhi‐Liang Chu, Jay M. Short, Christopher J. Carroll, William J. Boyle, Gerhard Frey, Graeme Semple and Beatriz Fioravanti. Their work appears in journals such as Cancer Research, mAbs, Journal of Medicinal Chemistry, Molecular Endocrinology and Bioorganic & Medicinal Chemistry Letters.
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.