Tuğba Önal-Süzek
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.5%
- Pharmacology top 5%
- Pharmacology top 2%
- Materials Chemistry
- Co-authors
- Jian ZhangStephen H. BryantJ. XiaoY. WangJiguang WangBenjamin A. ShoemakerAsta GindulytėK. V. Karapetyan
- Topics
- Computational Drug Discovery Methods (5 papers)Biomedical Text Mining and Ontologies (4 papers)RNA modifications and cancer (4 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBlood
- Partner nations
- TürkiyeUnited StatesGermany
In The Last Decade
Tuğba Önal-Süzek
19 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 1.4k
- Computational Theory and Mathematics 1.1k
- Pharmacology 267
- Pharmacology 213
- Materials Chemistry 184
Countries citing papers authored by Tuğba Önal-Süzek
This map shows the geographic impact of Tuğba Önal-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 Tuğba Önal-Süzek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuğba Önal-Süzek more than expected).
Fields of papers citing papers by Tuğba Önal-Süzek
This network shows the impact of papers produced by Tuğba Önal-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 Tuğba Önal-Süzek. The network helps show where Tuğba Önal-Süzek may publish in the future.
Co-authorship network of co-authors of Tuğba Önal-Süzek
This figure shows the co-authorship network connecting the top 25 collaborators of Tuğba Önal-Süzek. A scholar is included among the top collaborators of Tuğba Önal-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 Tuğba Önal-Süzek. Tuğba Önal-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 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 21 | |
| 12 | 35 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 222 | |
| 16 | PubChem's BioAssay Databasebreakdown → | 444 |
| 17 | 21 | |
| 18 | PubChem: a public information system for analyzing bioactivities of small moleculesbreakdown → | 1083 |
| 19 | 224 | |
| 20 | 10 |
About Tuğba Önal-Süzek
Tuğba Önal-Süzek is a scholar working on Cancer Research, Orthodontics and Biological Psychiatry, having authored 21 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Biomedical Text Mining and Ontologies (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Pharmacology (213 citations) and Molecular Biology (1.4k citations). Tuğba Önal-Süzek has collaborated with scholars based in Türkiye, United States and Germany. Frequent co-authors include Jian Zhang, Stephen H. Bryant, J. Xiao, Y. Wang, Jiguang Wang, Benjamin A. Shoemaker, Asta Gindulytė, K. V. Karapetyan, Evan Bolton and Jiyao Wang. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Blood.
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.