Barış Ethem Süzek
- Molecular Biology top 5%
- Ecology top 5%
- Genetics top 10%
- Plant Science top 10%
- Materials Chemistry
- Co-authors
- Peter B. McGarveyHongzhan HuangCathy WuYuqi WangRaja MazumderAmos BairochSéverine DuvaudIsabelle Phan
- Topics
- Bioinformatics and Genomic Networks (7 papers)Genomics and Phylogenetic Studies (6 papers)Machine Learning in Bioinformatics (5 papers)
- Cited by
- Molecular BiologyEcologyMicrobiology
- Partner nations
- United StatesTürkiyeCanada
In The Last Decade
Barış Ethem Süzek
22 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 2.3k
- Ecology 436
- Genetics 283
- Plant Science 221
- Materials Chemistry 183
Countries citing papers authored by Barış Ethem Süzek
This map shows the geographic impact of Barış Ethem Süzek'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 Barış Ethem Süzek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barış Ethem Süzek more than expected).
Fields of papers citing papers by Barış Ethem Süzek
This network shows the impact of papers produced by Barış Ethem Süzek. 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 Barış Ethem Süzek. The network helps show where Barış Ethem Süzek may publish in the future.
Co-authorship network of co-authors of Barış Ethem Süzek
This figure shows the co-authorship network connecting the top 25 collaborators of Barış Ethem Süzek. A scholar is included among the top collaborators of Barış Ethem Süzek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Barış Ethem Süzek. Barış Ethem Süzek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 17 | |
| 12 | UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searchesbreakdown → | 1138 |
| 13 | 91 | |
| 14 | 10 | |
| 15 | 4 | |
| 16 | 9 | |
| 17 | 7 | |
| 18 | 383 | |
| 19 | UniRef: comprehensive and non-redundant UniProt reference clustersbreakdown → | 1035 |
| 20 | 143 |
About Barış Ethem Süzek
Barış Ethem Süzek is a scholar working on Information Systems and Management, Molecular Biology and Developmental Neuroscience, having authored 26 papers that have together received 3.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Genomics and Phylogenetic Studies (6 papers) and Machine Learning in Bioinformatics (5 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Ecology (436 citations) and Microbiology (79 citations). Barış Ethem Süzek has collaborated with scholars based in United States, Türkiye and Canada. Frequent co-authors include Peter B. McGarvey, Hongzhan Huang, Cathy Wu, Yuqi Wang, Raja Mazumder, Amos Bairoch, Séverine Duvaud, Isabelle Phan, Nicole Redaschi and Eric Jain. Their work appears in journals such as Bioinformatics, PLoS ONE and The FASEB Journal.
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.