Erming Wang
Impact in
- Developmental Neuroscience top 10%
Papers in
-
- RNA Research and Splicing 6
- RNA modifications and cancer 5
- RNA regulation and disease 3
- RNA Interference and Gene Delivery 2
- Plant Reproductive Biology 2
- RNA and protein synthesis mechanisms 2
-
- Alzheimer's disease research and treatments 7
- Co-authors
- George J. Wagner (3 shared papers)Franca Cambi (8 shared papers)Rui Wang (1 shared paper)John H. Loughrin (1 shared paper)Susheng Gan (1 shared paper)Neviana Dimova (4 shared papers)Haihao Zhu (4 shared papers)Wei Qiao Qiu (3 shared papers)
- Journals
- Alzheimer s & Dementia (3 papers)Journal of Biological Chemistry (2 papers)Journal of Alzheimer s Disease (2 papers)Human Molecular Genetics (1 paper)Acta Neuropathologica Communications (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Erming Wang
24 papers receiving 860 citations
Peers
Comparison fields: 5 of 67
- Biological Psychiatry 28
- Developmental Neuroscience 38
- Molecular Biology 622
- Neurology 56
- Biotechnology 60
Countries citing papers authored by Erming Wang
This map shows the geographic impact of Erming 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 Erming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erming Wang more than expected).
Fields of papers citing papers by Erming Wang
This network shows the impact of papers produced by Erming 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 Erming Wang. The network helps show where Erming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Erming 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 193 | |
| 2 | 2003 | 80 | |
| 3 | 2002 | 77 | |
| 4 | 2007 | 62 | |
| 5 | 2018 | 62 | |
| 6 | 2016 | 44 | |
| 7 | 2011 | 41 | |
| 8 | 2017 | 40 | |
| 9 | 2004 | 40 | |
| 10 | 2012 | 40 | |
| 11 | 2009 | 38 | |
| 12 | 2008 | 26 | |
| 13 | 2017 | 22 | |
| 14 | 2010 | 18 | |
| 15 | 2005 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2023 | 17 | |
| 18 | 2012 | 16 | |
| 19 | 2022 | 12 | |
| 20 | 2023 | 6 |
About Erming Wang
Erming Wang is a scholar working on Molecular Biology, Physiology, Plant Science, Cancer Research and Genetics, having authored 25 papers that have together received 884 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers), RNA regulation and disease (3 papers), Plant Disease Resistance and Genetics (2 papers), RNA Interference and Gene Delivery (2 papers), Plant Reproductive Biology (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (28 citations), Developmental Neuroscience (38 citations), Molecular Biology (622 citations), Neurology (56 citations) and Biotechnology (60 citations). Erming Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include George J. Wagner, Franca Cambi, Rui Wang, John H. Loughrin, Susheng Gan, Neviana Dimova, Haihao Zhu, Wei Qiao Qiu, Bin Zhang and Neil W. Kowall. Their work appears in journals such as Alzheimer s & Dementia, Journal of Biological Chemistry, Journal of Alzheimer s Disease, Human Molecular Genetics and Acta Neuropathologica Communications.
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.