Heming Wang
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
Papers in
-
- RNA modifications and cancer 4
- Genetics 12
- Genetic Associations and Epidemiology 7
- Genetic and phenotypic traits in livestock 4
- Co-authors
- Ming Xiao (3 shared papers)Susan Redline (22 shared papers)Kathleen M. Klueber (2 shared papers)Zhanfang Guo (2 shared papers)Chengliang Lu (2 shared papers)Fred J. Roisen (2 shared papers)Xiaofeng Zhu (12 shared papers)Tamar Sofer (13 shared papers)
- Journals
- EBioMedicine (4 papers)PLoS Genetics (3 papers)Chinese Journal of Integrative Medicine (3 papers)Genetic Epidemiology (3 papers)SLEEP (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Heming Wang
64 papers receiving 853 citations
Peers
Comparison fields: 5 of 93
- Developmental Neuroscience 52
- Endocrine and Autonomic Systems 83
- Genetics 62
- Cellular and Molecular Neuroscience 96
- Experimental and Cognitive Psychology 67
Countries citing papers authored by Heming Wang
This map shows the geographic impact of Heming 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 Heming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heming Wang more than expected).
Fields of papers citing papers by Heming Wang
This network shows the impact of papers produced by Heming 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 Heming Wang. The network helps show where Heming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Heming 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 84 | |
| 2 | 2005 | 66 | |
| 3 | 2021 | 51 | |
| 4 | 2021 | 45 | |
| 5 | 2020 | 44 | |
| 6 | 2007 | 43 | |
| 7 | 2005 | 34 | |
| 8 | 2011 | 30 | |
| 9 | 2021 | 29 | |
| 10 | 2019 | 26 | |
| 11 | 2010 | 24 | |
| 12 | 2022 | 23 | |
| 13 | 2022 | 21 | |
| 14 | 2016 | 20 | |
| 15 | 2022 | 18 | |
| 16 | 2022 | 17 | |
| 17 | 2010 | 17 | |
| 18 | 2017 | 15 | |
| 19 | 2024 | 14 | |
| 20 | 2014 | 14 |
About Heming Wang
Heming Wang is a scholar working on Molecular Biology, Genetics, Physiology, Experimental and Cognitive Psychology and Surgery, having authored 68 papers that have together received 863 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Obstructive Sleep Apnea Research (7 papers), Sleep and related disorders (6 papers), Genetic and phenotypic traits in livestock (4 papers), Neuroscience of respiration and sleep (4 papers), RNA modifications and cancer (4 papers), Medical Research and Treatments (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Developmental Neuroscience (52 citations), Endocrine and Autonomic Systems (83 citations), Genetics (62 citations), Cellular and Molecular Neuroscience (96 citations) and Experimental and Cognitive Psychology (67 citations). Heming Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ming Xiao, Susan Redline, Kathleen M. Klueber, Zhanfang Guo, Chengliang Lu, Fred J. Roisen, Xiaofeng Zhu, Tamar Sofer, Richa Saxena and Dong Yin. Their work appears in journals such as EBioMedicine, PLoS Genetics, Chinese Journal of Integrative Medicine, Genetic Epidemiology and SLEEP.
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.