Emre Güney

3.8k citations
43 papers · 2.3k indexed · 3 hit papers · h-index 21

Impact in

Papers in

Emre Güney

42 papers receiving 2.2k citations

Hit Papers

Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare 2020 · 297 citations
2972016202620192022100200300400500

Peers

Emre Güney
Comparison fields: 5 of 151
  • Health Informatics 108
  • Computational Theory and Mathematics 552
  • Molecular Biology 1.4k
  • Biological Psychiatry 47
  • Pharmacology 121
Replace Rohan Gupta with:
Rohan Gupta India
Yuan Hou United States
Lang Li United States
Michael Rebhan Germany
Núria Queralt-Rosiñach Spain
Stephan C. Schürer United States
Christine J. McNamee United Kingdom
Katherine J. Escott United Kingdom
Samik Ghosh Japan
Yin Huang China
Emre Güney relative to Rohan Gupta India Rohan Gupta's profile →
Citations per field
00.5×7.1×
Rohan Gupta · 1×
Citations per year

Countries citing papers authored by Emre Güney

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Emre Güney Line = papers co-authored together Emre Güney links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 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 →
2018506
2
Network-based in silico drug efficacy screening
Hit paper breakdown →
2016385
3
Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare
Hit paper breakdown →
2020297
4 2019163
5 200790
6 200887
7 201286
8 201670
9 201062
10 201749
11 201840
12 201333
13 201833
14 201432
15 201331
16 202030
17 201727
18 201527
19 201626
20 201623

About Emre Güney

Emre Güney is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Pharmacology and Cognitive Neuroscience, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (20 papers), Computational Drug Discovery Methods (17 papers), Machine Learning in Bioinformatics (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Autism Spectrum Disorder Research (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Protein Structure and Dynamics (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Health Informatics (108 citations), Computational Theory and Mathematics (552 citations), Molecular Biology (1.4k citations), Biological Psychiatry (47 citations) and Pharmacology (121 citations). Emre Güney has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include Baldo Oliva, Jörg Menche, Albert-Ĺaszló 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, BMC Bioinformatics, PLoS ONE, 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.

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