Edith H. Wang
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- Muscle Physiology and Disorders
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
Papers in
-
- Genomics and Chromatin Dynamics 7
- CRISPR and Genetic Engineering 4
- RNA modifications and cancer 4
- Muscle Physiology and Disorders 4
- RNA Research and Splicing 3
- Protein Degradation and Inhibitors 2
-
- Genetic Neurodegenerative Diseases 4
- Co-authors
- Robert Tjian (3 shared papers)Siegfried Ruppert (1 shared paper)Traci Hilton (3 shared papers)Rachel M. Squillace (2 shared papers)Michael J. Bouchard (1 shared paper)Stavros Giannakopoulos (1 shared paper)Robert J. Schneider (1 shared paper)Naoko Tanese (1 shared paper)
- Journals
- Molecular and Cellular Biology (4 papers)Journal of Biological Chemistry (3 papers)Biochemical and Biophysical Research Communications (2 papers)Differentiation (1 paper)Genes & Development (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Edith H. Wang
19 papers receiving 971 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 825
- Cellular and Molecular Neuroscience 109
- Hepatology 38
- Oncology 130
- Aging 8
Countries citing papers authored by Edith H. Wang
This map shows the geographic impact of Edith H. 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 Edith H. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edith H. Wang more than expected).
Fields of papers citing papers by Edith H. Wang
This network shows the impact of papers produced by Edith H. 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 Edith H. Wang. The network helps show where Edith H. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Edith H. 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
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 216 | |
| 2 | 1994 | 145 | |
| 3 | 1997 | 78 | |
| 4 | 2001 | 74 | |
| 5 | 2000 | 56 | |
| 6 | 2002 | 53 | |
| 7 | 2004 | 53 | |
| 8 | 2005 | 45 | |
| 9 | 2014 | 43 | |
| 10 | 2010 | 31 | |
| 11 | 2012 | 30 | |
| 12 | 2007 | 25 | |
| 13 | 2004 | 24 | |
| 14 | 2003 | 23 | |
| 15 | 2016 | 22 | |
| 16 | 2007 | 19 | |
| 17 | 2018 | 19 | |
| 18 | 2018 | 14 | |
| 19 | 2010 | 10 |
About Edith H. Wang
Edith H. Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Cell Biology and Genetics, having authored 19 papers that have together received 980 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), CRISPR and Genetic Engineering (4 papers), Genetic Neurodegenerative Diseases (4 papers), RNA modifications and cancer (4 papers), Muscle Physiology and Disorders (4 papers), Cardiomyopathy and Myosin Studies (3 papers), RNA Research and Splicing (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Molecular Biology (825 citations), Cellular and Molecular Neuroscience (109 citations), Hepatology (38 citations), Oncology (130 citations) and Aging (8 citations). Edith H. Wang has collaborated with scholars based in United States and Canada. Frequent co-authors include Robert Tjian, Siegfried Ruppert, Traci Hilton, Rachel M. Squillace, Michael J. Bouchard, Stavros Giannakopoulos, Robert J. Schneider, Naoko Tanese, Scott S. Auerbach and Joseph A. Beavo. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Differentiation and Genes & Development.
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.