Özlem Taştan Bishop
- Molecular Biology top 10%
- Computational Theory and Mathematics top 1%
- Infectious Diseases top 5%
- Public Health, Environmental and Occupational Health top 10%
- Materials Chemistry
- Co-authors
- Olivier Sheik AmamuddyDavid L. PenklerThommas M. MusyokaDavid K. BrownCanan AtılganKevin A. LobbCaroline Jane RossGennady M. Verkhivker
- Topics
- Computational Drug Discovery Methods (29 papers)Protein Structure and Dynamics (21 papers)RNA and protein synthesis mechanisms (19 papers)
- Partner nations
- South AfricaUnited KingdomTürkiye
In The Last Decade
Özlem Taştan Bishop
98 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.2k
- Computational Theory and Mathematics 521
- Infectious Diseases 297
- Public Health, Environmental and Occupational Health 184
- Materials Chemistry 145
Countries citing papers authored by Özlem Taştan Bishop
This map shows the geographic impact of Özlem Taştan Bishop'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 Özlem Taştan Bishop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Özlem Taştan Bishop more than expected).
Fields of papers citing papers by Özlem Taştan Bishop
This network shows the impact of papers produced by Özlem Taştan Bishop. 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 Özlem Taştan Bishop. The network helps show where Özlem Taştan Bishop may publish in the future.
Co-authorship network of co-authors of Özlem Taştan Bishop
This figure shows the co-authorship network connecting the top 25 collaborators of Özlem Taştan Bishop. A scholar is included among the top collaborators of Özlem Taştan Bishop 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 Özlem Taştan Bishop. Özlem Taştan Bishop 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 | 13 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | 17 | |
| 8 | 3 | |
| 9 | 27 | |
| 10 | 39 | |
| 11 | 10 | |
| 12 | 15 | |
| 13 | 5 | |
| 14 | 59 | |
| 15 | Bioinformatics and data analysis in microbiology | 7 |
| 16 | 11 | |
| 17 | Dichotomy of concave and convex regions of Plasmodium falciparum Hop: Detailed analysis on complex formation sites with Hsp70 and Hsp90 | 1 |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 25 |
About Özlem Taştan Bishop
Özlem Taştan Bishop is a scholar working on Computational Theory and Mathematics, Infectious Diseases and Molecular Biology, having authored 100 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (29 papers), Protein Structure and Dynamics (21 papers) and RNA and protein synthesis mechanisms (19 papers). The work is most often cited by research in Computational Theory and Mathematics (521 citations), Molecular Biology (1.2k citations) and Infectious Diseases (297 citations). Özlem Taştan Bishop has collaborated with scholars based in South Africa, United Kingdom and Türkiye. Frequent co-authors include Olivier Sheik Amamuddy, David L. Penkler, Thommas M. Musyoka, David K. Brown, Canan Atılgan, Kevin A. Lobb, Caroline Jane Ross, Gennady M. Verkhivker, Ali Rana Atılgan and Aquillah M. Kanzi. Their work appears in journals such as Journal of Biological Chemistry, Bioinformatics and PLoS ONE.
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.