Emre Güney
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Computational Drug Discovery Methods
Papers in
-
- Bioinformatics and Genomic Networks 22
- Machine Learning in Bioinformatics 4
- Gene expression and cancer classification 3
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- Computational Drug Discovery Methods 18
- Co-authors
- Baldo Oliva (19 shared papers)Jörg Menche (6 shared papers)Albert-László Barabási (5 shared papers)Marc Vidal (1 shared paper)Harald Schmidt (8 shared papers)Manuela G. López (3 shared papers)Ahmed Hassan (3 shared papers)Özlem Keskin (3 shared papers)
- Journals
- Journal of Molecular Biology (4 papers)PLoS ONE (3 papers)BMC Bioinformatics (3 papers)Scientific Reports (2 papers)Drug Discovery Today (2 papers)
- Partner nations
- SpainUnited StatesNetherlands
In The Last Decade
Emre Güney
46 papers receiving 2.4k citations
Emre Güney's Hit Papers
Peers
Comparison fields: 5 of 149
- Health Informatics 117
- Computational Theory and Mathematics 541
- Biological Psychiatry 49
- Molecular Biology 1.4k
- Pharmacology 115
Countries citing papers authored by Emre Güney
This map shows the geographic impact of Emre Güney'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 Emre Güney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emre Güney more than expected).
Fields of papers citing papers by Emre Güney
This network shows the impact of papers produced by Emre Güney. 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 Emre Güney. The network helps show where Emre Güney may publish in the future.
Co-authors
The 25 scholars most cited alongside Emre Güney, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transcription Factor NRF2 as a Therapeutic Target for Chronic Diseases: A Systems Medicine Approach Hit paper breakdown → | 2018 | 526 |
| 2 | Network-based in silico drug efficacy screening Hit paper breakdown → | 2016 | 416 |
| 3 | Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare Hit paper breakdown → | 2020 | 355 |
| 4 | 2019 | 171 | |
| 5 | 2007 | 98 | |
| 6 | 2008 | 92 | |
| 7 | 2012 | 91 | |
| 8 | 2016 | 73 | |
| 9 | 2010 | 68 | |
| 10 | 2017 | 50 | |
| 11 | 2018 | 46 | |
| 12 | 2020 | 35 | |
| 13 | 2014 | 34 | |
| 14 | 2013 | 33 | |
| 15 | 2013 | 33 | |
| 16 | 2018 | 33 | |
| 17 | 2016 | 31 | |
| 18 | 2015 | 30 | |
| 19 | 2017 | 29 | |
| 20 | 2019 | 25 |
About Emre Güney
Emre Güney is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Pharmacology and Cognitive Neuroscience, having authored 46 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (22 papers), Computational Drug Discovery Methods (18 papers), Pharmacogenetics and Drug Metabolism (5 papers), Autism Spectrum Disorder Research (4 papers), Machine Learning in Bioinformatics (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Genetic Associations and Epidemiology (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Health Informatics (117 citations), Computational Theory and Mathematics (541 citations), Biological Psychiatry (49 citations), Molecular Biology (1.4k citations) and Pharmacology (115 citations). Emre Güney has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include Baldo Oliva, Jörg Menche, Albert-László Barabási, Marc Vidal, Harald Schmidt, Manuela G. López, Ahmed Hassan, Özlem Keskin, Attila Gürsoy and Nurcan Tunçbağ. Their work appears in journals such as Journal of Molecular Biology, PLoS ONE, BMC Bioinformatics, Scientific Reports and Drug Discovery Today.
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.