Ahmet Saçan

2.2k total citations · 1 hit paper
57 papers, 1.7k citations indexed

About

Ahmet Saçan is a scholar working on Molecular Biology, Cancer Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ahmet Saçan has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ahmet Saçan's work include Bioinformatics and Genomic Networks (10 papers), Protein Structure and Dynamics (9 papers) and Gene expression and cancer classification (8 papers). Ahmet Saçan is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Protein Structure and Dynamics (9 papers) and Gene expression and cancer classification (8 papers). Ahmet Saçan collaborates with scholars based in United States, Türkiye and Italy. Ahmet Saçan's co-authors include Gustavo Alonso, Juliana Freire, Nesime Tatbul, Rehman Qureshi, Seena K. Ajit, Guillermo M. Alexander, Hakan Ferhatosmanoğlu, Yuzhen Tian, Marguerite K. McDonald and Ruby Gao and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Neuroscience and Bioinformatics.

In The Last Decade

Ahmet Saçan

50 papers receiving 1.6k citations

Hit Papers

Proceedings of the VLDB Endowment 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmet Saçan United States 20 687 317 262 211 194 57 1.7k
Francisco Tirado Spain 19 825 1.2× 201 0.6× 188 0.7× 197 0.9× 77 0.4× 97 2.0k
Juan A. Botía Spain 22 397 0.6× 83 0.3× 222 0.8× 207 1.0× 162 0.8× 94 1.5k
Mehmet Koyutürk United States 30 1.7k 2.4× 180 0.6× 307 1.2× 125 0.6× 56 0.3× 122 2.7k
Juntao Li China 22 848 1.2× 253 0.8× 199 0.8× 119 0.6× 38 0.2× 152 1.7k
Mao Yang China 26 1.3k 1.8× 294 0.9× 295 1.1× 499 2.4× 271 1.4× 90 3.3k
Rosalba Giugno Italy 31 1.5k 2.2× 639 2.0× 508 1.9× 230 1.1× 67 0.3× 108 2.8k
Faraz Faghri United States 15 810 1.2× 120 0.4× 284 1.1× 163 0.8× 164 0.8× 27 1.8k
Waibhav Tembe United States 17 1.1k 1.6× 611 1.9× 590 2.3× 53 0.3× 148 0.8× 31 2.5k
Kun Zhang United States 22 559 0.8× 198 0.6× 647 2.5× 75 0.4× 36 0.2× 114 1.9k
Amir Ben‐Dor United States 24 2.9k 4.2× 508 1.6× 796 3.0× 93 0.4× 113 0.6× 53 4.7k

Countries citing papers authored by Ahmet Saçan

Since Specialization
Citations

This map shows the geographic impact of Ahmet Saçan'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 Ahmet Saçan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahmet Saçan more than expected).

Fields of papers citing papers by Ahmet Saçan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ahmet Saçan. 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 Ahmet Saçan. The network helps show where Ahmet Saçan may publish in the future.

Co-authorship network of co-authors of Ahmet Saçan

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmet Saçan. A scholar is included among the top collaborators of Ahmet Saçan 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 Ahmet Saçan. Ahmet Saçan 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.
Saçan, Ahmet, et al.. (2025). CXCL12 Engages Cortical Inhibitory Neurons to Enhance Dendritic Spine Plasticity and Structured Network Activity. Journal of Neuroscience. 45(24). e2213242025–e2213242025. 1 indexed citations
2.
Hayer, Katharina E., et al.. (2024). Locus folding mechanisms determine modes of antigen receptor gene assembly. The Journal of Experimental Medicine. 221(2). 3 indexed citations
3.
Luo, Xuan, Yuzhen Tian, Jingyun Lee, et al.. (2024). Inflammatory pain resolution by mouse serum-derived small extracellular vesicles. Brain Behavior and Immunity. 123. 422–441. 2 indexed citations
4.
Luo, Xuan, et al.. (2021). Differential RNA packaging into small extracellular vesicles by neurons and astrocytes. Cell Communication and Signaling. 19(1). 75–75. 24 indexed citations
5.
Luo, Xuan, Wen‐Wu Li, Peyman Sahbaie, et al.. (2021). Circulating microRNAs from the mouse tibia fracture model reflect the signature from patients with complex regional pain syndrome. PAIN Reports. 6(3). e950–e950. 6 indexed citations
6.
Tian, Yuzhen, et al.. (2019). Proteome characterization of small extracellular vesicles from spared nerve injury model of neuropathic pain. Journal of Proteomics. 211. 103540–103540. 26 indexed citations
7.
Alexander, Guillermo M., et al.. (2019). Exosome microRNA signatures in patients with complex regional pain syndrome undergoing plasma exchange. Journal of Translational Medicine. 17(1). 81–81. 36 indexed citations
8.
Zhao, Chunyu, et al.. (2017). HIV1-human protein-protein interaction prediction based on interface architecture similarity. 97–100. 4 indexed citations
9.
Hernandez‐Meza, Gabriela, Meltem İzzetoğlu, Ahmet Saçan, Michael Green, & Kurtuluş İzzetoğlu. (2017). Investigation of data-driven optical neuromonitoring approach during general anesthesia with sevoflurane. Neurophotonics. 4(4). 1–1. 10 indexed citations
10.
Qureshi, Rehman, Yuzhen Tian, Marguerite K. McDonald, et al.. (2015). Circulating microRNA Signatures in Rodent Models of Pain. Molecular Neurobiology. 53(5). 3416–3427. 25 indexed citations
11.
Saçan, Ahmet, et al.. (2015). Content-based search of gene expression databases using binary fingerprints of differential expression profiles. Network Modeling Analysis in Health Informatics and Bioinformatics. 4(1). 3 indexed citations
12.
Manners, Melissa T., Yuzhen Tian, Ruby Gao, et al.. (2014). Effect of Histone Deacetylase Inhibitor JNJ-26481585 in Pain. Journal of Molecular Neuroscience. 55(3). 570–578. 21 indexed citations
13.
McDonald, Marguerite K., Yuzhen Tian, Rehman Qureshi, et al.. (2014). Functional significance of macrophage-derived exosomes in inflammation and pain. Pain. 155(8). 1527–1539. 272 indexed citations
14.
Qureshi, Rehman & Ahmet Saçan. (2013). Weighted set enrichment of gene expression data. BMC Systems Biology. 7(Suppl 4). S10–S10. 21 indexed citations
15.
Sun, Hong, Ahmet Saçan, Hakan Ferhatosmanoğlu, & Yusu Wang. (2012). Smolign: A Spatial Motifs-Based Protein Multiple Structural Alignment Method. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(1). 249–261. 29 indexed citations
17.
Gelenbe, Erol, Ricardo Lent, Georgia Sakellari, et al.. (2010). Computer and Information Sciences: Proceedings of the 25th International Symposium on Computer and Information Sciences. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 423–423. 1 indexed citations
18.
Evans, Perry, Ahmet Saçan, Lyle Ungar, & Aydın Tözeren. (2010). Sequence Alignment Reveals Possible MAPK Docking Motifs on HIV Proteins. PLoS ONE. 5(1). e8942–e8942. 7 indexed citations
19.
Srinivasan, Visish M., Andres Kriete, Ahmet Saçan, & S. Michal Jazwinski. (2010). Comparing the yeast retrograde response and NF‐κB stress responses: implications for aging. Aging Cell. 9(6). 933–941. 56 indexed citations
20.
Saçan, Ahmet, et al.. (2010). Comparison of Multidimensional Data Access Methods for Feature-Based Image Retrieval. OpenMETU (Middle East Technical University). 18. 3260–3263. 2 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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