Xiaoping Sun
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Sensory Systems top 2%
- Ion Channels and Receptors
Papers in
- Hematology 20
- Chronic Myeloid Leukemia Treatments 9
- Acute Myeloid Leukemia Research 8
- Aging 10
- Genetics, Aging, and Longevity in Model Organisms 10
- Co-authors
- Nick Callamaras (3 shared papers)Ian S. C. Parker (3 shared papers)Jonathan S. Marchant (2 shared papers)Yun Gong (20 shared papers)Sige Zou (10 shared papers)Gary H. Karpen (1 shared paper)Bruce A. Barrett (5 shared papers)Shannon C. Kenney (4 shared papers)
- Journals
- Blood (11 papers)The Journal of Physiology (6 papers)Archives of Pathology & Laboratory Medicine (6 papers)American Journal of Clinical Pathology (5 papers)Oncotarget (5 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Xiaoping Sun
145 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 153
- Aging 197
- Sensory Systems 208
- Physiology 148
- Oncology 671
- Molecular Biology 1.2k
Countries citing papers authored by Xiaoping Sun
This map shows the geographic impact of Xiaoping Sun'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 Xiaoping Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Sun more than expected).
Fields of papers citing papers by Xiaoping Sun
This network shows the impact of papers produced by Xiaoping Sun. 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 Xiaoping Sun. The network helps show where Xiaoping Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 245 | |
| 2 | 2019 | 228 | |
| 3 | 1998 | 220 | |
| 4 | 1997 | 198 | |
| 5 | 2019 | 180 | |
| 6 | 1998 | 139 | |
| 7 | 2007 | 113 | |
| 8 | 2011 | 105 | |
| 9 | 2017 | 105 | |
| 10 | 2009 | 96 | |
| 11 | 2003 | 94 | |
| 12 | 2014 | 88 | |
| 13 | 2000 | 86 | |
| 14 | 2012 | 83 | |
| 15 | 2018 | 75 | |
| 16 | 2022 | 74 | |
| 17 | 2016 | 71 | |
| 18 | 2013 | 70 | |
| 19 | 2010 | 68 | |
| 20 | 1999 | 62 |
About Xiaoping Sun
Xiaoping Sun is a scholar working on Hematology, Aging, Immunology, Oncology and Cellular and Molecular Neuroscience, having authored 153 papers that have together received 4.7k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (10 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers), Chronic Myeloid Leukemia Treatments (9 papers), Mast cells and histamine (9 papers), Ion channel regulation and function (9 papers), Acute Myeloid Leukemia Research (8 papers), Lymphoma Diagnosis and Treatment (8 papers) and T-cell and B-cell Immunology (7 papers). The work is most often cited by research in Aging (197 citations), Sensory Systems (208 citations), Physiology (148 citations), Oncology (671 citations) and Molecular Biology (1.2k citations). Xiaoping Sun has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Nick Callamaras, Ian S. C. Parker, Jonathan S. Marchant, Yun Gong, Sige Zou, Gary H. Karpen, Bruce A. Barrett, Shannon C. Kenney, Qisheng Song and Alan D. Grinnell. Their work appears in journals such as Blood, The Journal of Physiology, Archives of Pathology & Laboratory Medicine, American Journal of Clinical Pathology and Oncotarget.
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.