Eric Yang
Impact in
- Aging top 10%
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- Gene Regulatory Network Analysis 8
- Gene expression and cancer classification 6
- Single-cell and spatial transcriptomics 4
- Bioinformatics and Genomic Networks 4
- Kruppel-like factors research 1
-
- Circadian rhythm and melatonin 2
- Co-authors
- Ioannis P. Androulakis (16 shared papers)Richard R. Almon (6 shared papers)Daniel M. Cohen (1 shared paper)Christopher S. Chen (1 shared paper)Joachim Kohn (1 shared paper)Simon Gordonov (1 shared paper)Matthew D. Treiser (1 shared paper)Prabhas V. Moghe (1 shared paper)
- Journals
- Computers & Chemical Engineering (3 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)Journal of Global Optimization (1 paper)Annals of Biomedical Engineering (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Eric Yang
17 papers receiving 582 citations
Peers
Comparison fields: 5 of 113
- Aging 31
- Endocrine and Autonomic Systems 82
- Cell Biology 115
- Biophysics 36
- Behavioral Neuroscience 21
Countries citing papers authored by Eric Yang
This map shows the geographic impact of Eric Yang'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 Eric Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Yang more than expected).
Fields of papers citing papers by Eric Yang
This network shows the impact of papers produced by Eric Yang. 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 Eric Yang. The network helps show where Eric Yang may publish in the future.
Co-authors
The 21 scholars most cited alongside Eric Yang, 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 | 2009 | 232 | |
| 2 | 2007 | 90 | |
| 3 | 2008 | 62 | |
| 4 | 2008 | 51 | |
| 5 | 1993 | 50 | |
| 6 | 2007 | 25 | |
| 7 | 2009 | 14 | |
| 8 | 2007 | 14 | |
| 9 | 2009 | 13 | |
| 10 | 2007 | 11 | |
| 11 | 2007 | 10 | |
| 12 | 2008 | 6 | |
| 13 | 2007 | 5 | |
| 14 | 2007 | 4 | |
| 15 | 2007 | 3 | |
| 16 | 2006 | 2 | |
| 17 | 2006 | 1 |
About Eric Yang
Eric Yang is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Computational Theory and Mathematics, Biomedical Engineering and Oncology, having authored 17 papers that have together received 593 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (8 papers), Gene expression and cancer classification (6 papers), Single-cell and spatial transcriptomics (4 papers), Bioinformatics and Genomic Networks (4 papers), Computational Drug Discovery Methods (2 papers), Circadian rhythm and melatonin (2 papers), Kruppel-like factors research (1 paper) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Aging (31 citations), Endocrine and Autonomic Systems (82 citations), Cell Biology (115 citations), Biophysics (36 citations) and Behavioral Neuroscience (21 citations). Eric Yang has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Ioannis P. Androulakis, Richard R. Almon, Daniel M. Cohen, Christopher S. Chen, Joachim Kohn, Simon Gordonov, Matthew D. Treiser, Prabhas V. Moghe, Debra C. DuBois and William J. Jusko. Their work appears in journals such as Computers & Chemical Engineering, Journal of Pharmacology and Experimental Therapeutics, Journal of Global Optimization, Annals of Biomedical Engineering and BMC Bioinformatics.
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.