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 7
- Bioinformatics and Genomic Networks 6
- Single-cell and spatial transcriptomics 3
- Microbial Metabolic Engineering and Bioproduction 2
-
- Circadian rhythm and melatonin 2
- Co-authors
- Ioannis P. Androulakis (18 shared papers)Richard R. Almon (6 shared papers)Joachim Kohn (1 shared paper)Daniel M. Cohen (1 shared paper)Matthew D. Treiser (1 shared paper)Simon Gordonov (1 shared paper)Christopher S. Chen (1 shared paper)Prabhas V. Moghe (1 shared paper)
- Journals
- Computers & Chemical Engineering (3 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)American Journal of Physiology-Regulatory, Integrative and Comparative Physiology (1 paper)Bioinformatics (1 paper)Journal of Global Optimization (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Eric Yang
20 papers receiving 735 citations
Peers
Comparison fields: 5 of 113
- Aging 26
- Endocrine and Autonomic Systems 85
- Cell Biology 117
- Biophysics 39
- 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 23 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 | 247 | |
| 2 | 2007 | 104 | |
| 3 | 2018 | 96 | |
| 4 | 2008 | 63 | |
| 5 | 2008 | 52 | |
| 6 | 1993 | 52 | |
| 7 | 2007 | 29 | |
| 8 | 2007 | 19 | |
| 9 | 2009 | 17 | |
| 10 | 2009 | 17 | |
| 11 | 2007 | 12 | |
| 12 | 2007 | 11 | |
| 13 | 2008 | 6 | |
| 14 | 2007 | 5 | |
| 15 | 2007 | 5 | |
| 16 | 2006 | 4 | |
| 17 | 2007 | 3 | |
| 18 | 2009 | 3 | |
| 19 | 2006 | 2 | |
| 20 | 2006 | 1 |
About Eric Yang
Eric Yang is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Computational Theory and Mathematics, Physiology and Physical and Theoretical Chemistry, having authored 20 papers that have together received 748 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (8 papers), Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (6 papers), Single-cell and spatial transcriptomics (3 papers), Computational Drug Discovery Methods (2 papers), Circadian rhythm and melatonin (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Light effects on plants (1 paper). The work is most often cited by research in Aging (26 citations), Endocrine and Autonomic Systems (85 citations), Cell Biology (117 citations), Biophysics (39 citations) and Behavioral Neuroscience (21 citations). Eric Yang has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Ioannis P. Androulakis, Richard R. Almon, Joachim Kohn, Daniel M. Cohen, Matthew D. Treiser, Simon Gordonov, Christopher S. Chen, 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, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Bioinformatics and Journal of Global Optimization.
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.