Arda Söylev
Impact in
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- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
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- Genomics and Phylogenetic Studies
- Gut microbiota and health
Papers in
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- Genomics and Phylogenetic Studies 4
- Identification and Quantification in Food 2
- Gene expression and cancer classification 1
- Genetics 6
- Genomic variations and chromosomal abnormalities 3
- Forensic and Genetic Research 2
- Co-authors
- Can Alkan (3 shared papers)Fereydoun Hormozdiari (2 shared papers)Hajar Amini (1 shared paper)Dina Kao (1 shared paper)Sonny T. M. Lee (1 shared paper)Karen Lolans (1 shared paper)Jessika Füssel (1 shared paper)Florian Trigodet (1 shared paper)
- Journals
- Methods (1 paper)PLoS Computational Biology (1 paper)Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi (1 paper)Bioinformatics (1 paper)Genome biology (1 paper)
- Partner nations
- TürkiyeUnited StatesGermany
In The Last Decade
Arda Söylev
9 papers receiving 113 citations
Peers
Comparison fields: 5 of 54
- Genetics 43
- Molecular Biology 79
- Infectious Diseases 21
- Gastroenterology 4
- Molecular Medicine 3
Countries citing papers authored by Arda Söylev
This map shows the geographic impact of Arda Söylev'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 Arda Söylev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arda Söylev more than expected).
Fields of papers citing papers by Arda Söylev
This network shows the impact of papers produced by Arda Söylev. 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 Arda Söylev. The network helps show where Arda Söylev may publish in the future.
Co-authors
The 25 scholars most cited alongside Arda Söylev, 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 | 2023 | 47 | |
| 2 | 2019 | 24 | |
| 3 | 2022 | 17 | |
| 4 | 2017 | 12 | |
| 5 | 2017 | 5 | |
| 6 | 2022 | 4 | |
| 7 | 2023 | 2 | |
| 8 | 2014 | 2 | |
| 9 | 2016 | 1 | |
| 10 | 2022 | 0 | |
| 11 | 2015 | 0 |
About Arda Söylev
Arda Söylev is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Infectious Diseases and Pathology and Forensic Medicine, having authored 11 papers that have together received 114 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Forensic and Genetic Research (2 papers), Identification and Quantification in Food (2 papers), Algorithms and Data Compression (1 paper), Gene expression and cancer classification (1 paper), Hand Gesture Recognition Systems (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Genetics (43 citations), Molecular Biology (79 citations), Infectious Diseases (21 citations), Gastroenterology (4 citations) and Molecular Medicine (3 citations). Arda Söylev has collaborated with scholars based in Türkiye, United States and Germany. Frequent co-authors include Can Alkan, Fereydoun Hormozdiari, Hajar Amini, Dina Kao, Sonny T. M. Lee, Karen Lolans, Jessika Füssel, Florian Trigodet, Emily C. Fogarty and A. Murat Eren. Their work appears in journals such as Methods, PLoS Computational Biology, Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, Bioinformatics and Genome biology.
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.