Xingbin Wang
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Genetics 12
- Genetic Associations and Epidemiology 8
- Diabetes and associated disorders 3
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- Diabetes, Cardiovascular Risks, and Lipoproteins 5
- Co-authors
- M. Ilyas Kamboh (27 shared papers)F. Yesim Demirci (25 shared papers)M. Michael Barmada (11 shared papers)Oscar L. López (8 shared papers)Samantha L. Rosenthal (4 shared papers)Etienne L. Sibille (2 shared papers)George Tseng (2 shared papers)Beth Ellen Snitz (5 shared papers)
- Journals
- Journal of Alzheimer s Disease (3 papers)Neurobiology of Aging (3 papers)PLoS ONE (3 papers)Alzheimer s & Dementia (1 paper)Disease Markers (1 paper)
- Partner nations
- United StatesPakistanCanada
In The Last Decade
Xingbin Wang
31 papers receiving 647 citations
Peers
Comparison fields: 5 of 84
- Biological Psychiatry 27
- Neurology 63
- Genetics 182
- Physiology 149
- Behavioral Neuroscience 19
Countries citing papers authored by Xingbin Wang
This map shows the geographic impact of Xingbin Wang'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 Xingbin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingbin Wang more than expected).
Fields of papers citing papers by Xingbin Wang
This network shows the impact of papers produced by Xingbin Wang. 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 Xingbin Wang. The network helps show where Xingbin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingbin Wang, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 51 | |
| 2 | 2014 | 46 | |
| 3 | 2015 | 45 | |
| 4 | 2015 | 44 | |
| 5 | 2018 | 41 | |
| 6 | 2014 | 37 | |
| 7 | 2015 | 31 | |
| 8 | 2019 | 29 | |
| 9 | 2014 | 29 | |
| 10 | 2015 | 28 | |
| 11 | Beta-amyloid toxicity modifier genes and the risk of Alzheimer's disease. | 2012 | 27 |
| 12 | 2014 | 24 | |
| 13 | 2013 | 23 | |
| 14 | 2015 | 21 | |
| 15 | 2015 | 20 | |
| 16 | 2014 | 19 | |
| 17 | 2019 | 18 | |
| 18 | 2015 | 16 | |
| 19 | 2015 | 16 | |
| 20 | 2013 | 15 |
About Xingbin Wang
Xingbin Wang is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Rheumatology, Cardiology and Cardiovascular Medicine and Surgery, having authored 31 papers that have together received 659 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Bioinformatics and Genomic Networks (4 papers), Alzheimer's disease research and treatments (4 papers), Diabetes and associated disorders (3 papers), Lipid metabolism and disorders (3 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Biological Psychiatry (27 citations), Neurology (63 citations), Genetics (182 citations), Physiology (149 citations) and Behavioral Neuroscience (19 citations). Xingbin Wang has collaborated with scholars based in United States, Pakistan and Canada. Frequent co-authors include M. Ilyas Kamboh, F. Yesim Demirci, M. Michael Barmada, Oscar L. López, Samantha L. Rosenthal, Etienne L. Sibille, George Tseng, Beth Ellen Snitz, Mikhil N. Bamne and R. D. Sweet. Their work appears in journals such as Journal of Alzheimer s Disease, Neurobiology of Aging, PLoS ONE, Alzheimer s & Dementia and Disease Markers.
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.