Attila Gürsoy

11.0k total citations · 2 hit papers
134 papers, 8.3k citations indexed

About

Attila Gürsoy is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Attila Gürsoy has authored 134 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 37 papers in Computational Theory and Mathematics and 22 papers in Materials Chemistry. Recurrent topics in Attila Gürsoy's work include Protein Structure and Dynamics (60 papers), Computational Drug Discovery Methods (37 papers) and Bioinformatics and Genomic Networks (36 papers). Attila Gürsoy is often cited by papers focused on Protein Structure and Dynamics (60 papers), Computational Drug Discovery Methods (37 papers) and Bioinformatics and Genomic Networks (36 papers). Attila Gürsoy collaborates with scholars based in Türkiye, United States and Israel. Attila Gürsoy's co-authors include Özlem Keskin, Ruth Nussinov, Nurcan Tunçbağ, Laxmikant V. Kalé, Klaus Schulten, Robert D. Skeel, N. Krawetz, J. C. Phillips, Róbert Brunner and Aritomo Shinozaki and has published in prestigious journals such as Chemical Reviews, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Attila Gürsoy

133 papers receiving 8.2k citations

Hit Papers

NAMD2: Greater Scalabilit... 1999 2026 2008 2017 1999 2008 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Attila Gürsoy Türkiye 41 6.4k 1.5k 1.3k 656 544 134 8.3k
Özlem Keskin Türkiye 52 7.6k 1.2× 1.9k 1.3× 2.0k 1.5× 770 1.2× 566 1.0× 166 9.5k
Jie Liang United States 38 6.3k 1.0× 1.3k 0.9× 1.6k 1.2× 474 0.7× 462 0.8× 186 8.7k
Jens Erik Nielsen Ireland 31 6.9k 1.1× 941 0.6× 1.6k 1.2× 541 0.8× 539 1.0× 62 9.6k
Philippe Derreumaux France 56 7.8k 1.2× 1.4k 0.9× 1.6k 1.2× 325 0.5× 413 0.8× 223 10.2k
Chung‐Jung Tsai United States 52 8.7k 1.4× 1.5k 1.0× 2.1k 1.6× 875 1.3× 838 1.5× 132 10.4k
Daniel R. Roe United States 20 5.4k 0.9× 1.1k 0.7× 1.1k 0.8× 320 0.5× 512 0.9× 38 7.7k
Jason Swails United States 15 7.2k 1.1× 1.6k 1.0× 1.5k 1.1× 549 0.8× 600 1.1× 19 10.3k
Nikolay V. Dokholyan United States 66 10.3k 1.6× 1.1k 0.7× 2.4k 1.8× 968 1.5× 732 1.3× 370 14.7k
Martin Zacharias Germany 53 8.2k 1.3× 1.3k 0.8× 1.7k 1.3× 554 0.8× 808 1.5× 346 10.4k
Carlos J. Camacho United States 39 4.9k 0.8× 1.7k 1.1× 1.5k 1.1× 478 0.7× 585 1.1× 119 6.8k

Countries citing papers authored by Attila Gürsoy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Keskin, Özlem, et al.. (2025). DeepAllo: allosteric site prediction using protein language model (pLM) with multitask learning. Bioinformatics. 41(6). 4 indexed citations
3.
Çelik, Ebru, S. Güler, Attila Gürsoy, et al.. (2025). Alterations in vaginal microbiome in women with short cervix: longitudinal study of microbial diversity and impact of vaginal progesterone treatment. Ultrasound in Obstetrics and Gynecology. 66(2). 217–225. 1 indexed citations
4.
Ramelot, Theresa A., Attila Gürsoy, Hyunbum Jang, et al.. (2024). Tumor-derived RHOA mutants interact with effectors in the GDP-bound state. Nature Communications. 15(1). 7176–7176. 5 indexed citations
5.
Picón-Pagès, Pol, Anna García-Elías, Marta Tajes, et al.. (2024). Shared Proteins and Pathways of Cardiovascular and Cognitive Diseases: Relation to Vascular Cognitive Impairment. Journal of Proteome Research. 23(2). 560–573. 1 indexed citations
6.
Keskin, Özlem, et al.. (2024). ProInterVal: Validation of Protein–Protein Interfaces through Learned Interface Representations. Journal of Chemical Information and Modeling. 64(8). 2979–2987. 3 indexed citations
8.
Tunçbağ, Nurcan, et al.. (2023). Structural coverage of the human interactome. Briefings in Bioinformatics. 25(1). 4 indexed citations
9.
Çelik, Ebru, Mert Ahmet Kuşkucu, Özlem Doğan, et al.. (2022). Alterations in vaginal microbiota among pregnant women with COVID‐19. Journal of Medical Virology. 95(1). e28132–e28132. 5 indexed citations
10.
Nussinov, Ruth, Hyunbum Jang, Attila Gürsoy, Özlem Keskin, & Vadim Gaponenko. (2021). Inhibition of Nonfunctional Ras. Cell chemical biology. 28(2). 121–133. 27 indexed citations
11.
Muratcioğlu, Serena, Cihan Aydın, Elif Nur Firat‐Karalar, et al.. (2020). Oncogenic K-Ras4B Dimerization Enhances Downstream Mitogen-activated Protein Kinase Signaling. Journal of Molecular Biology. 432(4). 1199–1215. 14 indexed citations
12.
Yang, Xinping, Hui Cheng, Jianhong Chen, et al.. (2019). Head and Neck Cancers Promote an Inflammatory Transcriptome through Coactivation of Classic and Alternative NF-κB Pathways. Cancer Immunology Research. 7(11). 1760–1774. 26 indexed citations
13.
Gürsoy, Attila, et al.. (2013). Designing and characterizing small molecule inhibitor(s) for mitochondrial transcription factor A (TFAM) for therapeutic benefit of Cancer. 1 indexed citations
14.
Tunçbağ, Nurcan, Gozde Kar, Attila Gürsoy, Özlem Keskin, & Ruth Nussinov. (2009). Towards inferring time dimensionality in protein–protein interaction networks by integrating structures: the p53 example. Molecular BioSystems. 5(12). 1770–1778. 71 indexed citations
15.
Güney, Emre, Nurcan Tunçbağ, Özlem Keskin, & Attila Gürsoy. (2007). HotSprint: database of computational hot spots in protein interfaces. Nucleic Acids Research. 36(Database). D662–D666. 90 indexed citations
16.
Sinop, Ali Kemal, et al.. (2005). PHR: A Parallel Hierarchical Radiosity System with Dynamic Load Balancing. The Journal of Supercomputing. 31(3). 249–263. 1 indexed citations
17.
Keskin, Özlem, Deniz Yüret, Attila Gürsoy, Metin Türkay, & Burak Erman. (2004). Relationships between amino acid sequence and backbone torsion angle preferences. Proteins Structure Function and Bioinformatics. 55(4). 992–998. 39 indexed citations
18.
Gürsoy, Attila, et al.. (1999). Parallel Hierarchical Radiosity.. Parallel and Distributed Processing Techniques and Applications. 1634–1640. 1 indexed citations
19.
Gürsoy, Attila, et al.. (1999). Mechanisms for Programming SMP Clusters.. Parallel and Distributed Processing Techniques and Applications. 1723–1729. 2 indexed citations
20.
Kalé, Laxmikant V. & Attila Gürsoy. (1995). Modularity, reuse and efficiency with message-driven libraries. PPSC. 91(2). 738–743. 6 indexed citations

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.

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