Attila Gürsoy
- Molecular Biology top 0.5%
- Computational Theory and Mathematics top 0.2%
- Materials Chemistry top 5%
- Cell Biology top 2%
- Oncology top 5%
- Co-authors
- Özlem KeskinRuth NussinovNurcan TunçbağLaxmikant V. KaléRobert D. SkeelKlaus SchultenRóbert BrunnerN. Krawetz
- Topics
- Protein Structure and Dynamics (60 papers)Computational Drug Discovery Methods (37 papers)Bioinformatics and Genomic Networks (36 papers)
- Partner nations
- TürkiyeUnited StatesIsrael
In The Last Decade
Attila Gürsoy
133 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 6.4k
- Computational Theory and Mathematics 1.5k
- Materials Chemistry 1.3k
- Cell Biology 656
- Oncology 544
Countries citing papers authored by Attila Gürsoy
This map shows the geographic impact of Attila Gürsoy'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 Attila Gürsoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Attila Gürsoy more than expected).
Fields of papers citing papers by Attila Gürsoy
This network shows the impact of papers produced by Attila Gürsoy. 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 Attila Gürsoy. The network helps show where Attila Gürsoy may publish in the future.
Co-authorship network of co-authors of Attila Gürsoy
This figure shows the co-authorship network connecting the top 25 collaborators of Attila Gürsoy. A scholar is included among the top collaborators of Attila Gürsoy 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 Attila Gürsoy. Attila Gürsoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 14 | |
| 7 | 26 | |
| 8 | 13 | |
| 9 | 7 | |
| 10 | 97 | |
| 11 | 32 | |
| 12 | Designing and characterizing small molecule inhibitor(s) for mitochondrial transcription factor A (TFAM) for therapeutic benefit of Cancer | 1 |
| 13 | 51 | |
| 14 | 139 | |
| 15 | 71 | |
| 16 | 154 | |
| 17 | 61 | |
| 18 | 90 | |
| 19 | Parallel Hierarchical Radiosity. | 1 |
| 20 | Mechanisms for Programming SMP Clusters. | 2 |
About Attila Gürsoy
Attila Gürsoy is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Molecular Biology, having authored 134 papers that have together received 8.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (60 papers), Computational Drug Discovery Methods (37 papers) and Bioinformatics and Genomic Networks (36 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Molecular Biology (6.4k citations) and Cell Biology (656 citations). Attila Gürsoy has collaborated with scholars based in Türkiye, United States and Israel. Frequent co-authors include Özlem Keskin, Ruth Nussinov, Nurcan Tunçbağ, Laxmikant V. Kalé, Robert D. Skeel, Klaus Schulten, Róbert Brunner, N. Krawetz, Aritomo Shinozaki and Milind Bhandarkar. Their work appears in journals such as Chemical Reviews, Nucleic Acids Research and Journal of Biological Chemistry.
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.