Xiaoming Wang
Impact in
- Geriatrics and Gerontology top 2%
- Physiology top 2%
- Adipose Tissue and Metabolism
Papers in
-
- Mitochondrial Function and Pathology 14
- Ion channel regulation and function 11
-
- Cardiac electrophysiology and arrhythmias 10
- Co-authors
- Jun Ren (11 shared papers)Congde Huo (13 shared papers)Mingge Ding (5 shared papers)Hui Su (5 shared papers)Feng Fu (4 shared papers)Erhe Gao (4 shared papers)Wei Ge (6 shared papers)Min Xia (4 shared papers)
- Journals
- Blood (6 papers)PLoS ONE (6 papers)Frontiers in Neurology (6 papers)Cellular Physiology and Biochemistry (4 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaoming Wang
230 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 140
- Geriatrics and Gerontology 179
- Physiology 781
- Biological Psychiatry 74
- Molecular Biology 2.0k
- Neurology 230
Countries citing papers authored by Xiaoming Wang
This map shows the geographic impact of Xiaoming 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 Xiaoming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoming Wang more than expected).
Fields of papers citing papers by Xiaoming Wang
This network shows the impact of papers produced by Xiaoming 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 Xiaoming Wang. The network helps show where Xiaoming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoming 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 241 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 430 | |
| 2 | 2013 | 124 | |
| 3 | 2015 | 107 | |
| 4 | 2017 | 105 | |
| 5 | 2020 | 105 | |
| 6 | 2012 | 98 | |
| 7 | 2017 | 81 | |
| 8 | 2012 | 72 | |
| 9 | 2005 | 71 | |
| 10 | 2013 | 68 | |
| 11 | 2017 | 67 | |
| 12 | 2019 | 65 | |
| 13 | 2014 | 65 | |
| 14 | 2012 | 64 | |
| 15 | 2007 | 64 | |
| 16 | 2008 | 63 | |
| 17 | 2016 | 63 | |
| 18 | 2018 | 62 | |
| 19 | 2012 | 60 | |
| 20 | 2017 | 59 |
About Xiaoming Wang
Xiaoming Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Physiology and Pathology and Forensic Medicine, having authored 241 papers that have together received 4.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (14 papers), Autophagy in Disease and Therapy (13 papers), Cardiac Ischemia and Reperfusion (11 papers), Ion channel regulation and function (11 papers), Adipose Tissue and Metabolism (10 papers), Endoplasmic Reticulum Stress and Disease (10 papers), Cardiac electrophysiology and arrhythmias (10 papers) and Vestibular and auditory disorders (9 papers). The work is most often cited by research in Geriatrics and Gerontology (179 citations), Physiology (781 citations), Biological Psychiatry (74 citations), Molecular Biology (2.0k citations) and Neurology (230 citations). Xiaoming Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jun Ren, Congde Huo, Mingge Ding, Hui Su, Feng Fu, Erhe Gao, Wei Ge, Min Xia, Xin Jia and Haifeng Zhang. Their work appears in journals such as Blood, PLoS ONE, Frontiers in Neurology, Cellular Physiology and Biochemistry and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.
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.