Mehmet Özbil

816 total citations
33 papers, 655 citations indexed

About

Mehmet Özbil is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Mehmet Özbil has authored 33 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Organic Chemistry and 8 papers in Oncology. Recurrent topics in Mehmet Özbil's work include Alzheimer's disease research and treatments (6 papers), Computational Drug Discovery Methods (5 papers) and Peptidase Inhibition and Analysis (4 papers). Mehmet Özbil is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Computational Drug Discovery Methods (5 papers) and Peptidase Inhibition and Analysis (4 papers). Mehmet Özbil collaborates with scholars based in Türkiye, United States and Canada. Mehmet Özbil's co-authors include Rajeev Prabhakar, Ram Prasad Bora, Arghya Barman, Nathan P. Cook, Ángel A. Martí, Alexander Shekhtman, Dmitry Kurouski, Igor K. Lednev, Nilgün Karalı and Thomas J. Paul and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.

In The Last Decade

Mehmet Özbil

31 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mehmet Özbil Türkiye 14 241 170 98 95 88 33 655
Ningning Wei China 15 303 1.3× 70 0.4× 73 0.7× 123 1.3× 52 0.6× 45 759
Bhubaneswar Mandal India 18 748 3.1× 257 1.5× 533 5.4× 141 1.5× 77 0.9× 76 1.3k
Ariela Vergara‐Jaque Chile 15 406 1.7× 29 0.2× 100 1.0× 110 1.2× 59 0.7× 41 734
Olga I. Povarova Russia 15 666 2.8× 373 2.2× 105 1.1× 206 2.2× 44 0.5× 43 1.1k
Anna I. Sulatskaya Russia 20 848 3.5× 703 4.1× 101 1.0× 238 2.5× 73 0.8× 62 1.5k
Renaud Hardré France 21 348 1.4× 112 0.7× 224 2.3× 170 1.8× 16 0.2× 42 1.0k
G.F. Ruda United Kingdom 15 513 2.1× 68 0.4× 131 1.3× 40 0.4× 28 0.3× 20 719
Shuangyan Zhou China 19 550 2.3× 107 0.6× 176 1.8× 88 0.9× 75 0.9× 44 1.1k
Ashim Paul India 16 425 1.8× 376 2.2× 117 1.2× 100 1.1× 45 0.5× 38 814
Martin Kubala Czechia 19 486 2.0× 18 0.1× 154 1.6× 144 1.5× 41 0.5× 54 935

Countries citing papers authored by Mehmet Özbil

Since Specialization
Citations

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

Fields of papers citing papers by Mehmet Özbil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehmet Özbil

This figure shows the co-authorship network connecting the top 25 collaborators of Mehmet Özbil. A scholar is included among the top collaborators of Mehmet Özbil 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 Mehmet Özbil. Mehmet Özbil 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.
Özbil, Mehmet, Murat Topuzoğulları, İrfan Çınar, et al.. (2025). Phage-inspired targeting of antibiotic-loaded polymeric micelles for enhanced therapeutic efficacy against monomicrobial sepsis. Journal of Controlled Release. 380. 773–786. 1 indexed citations
2.
3.
Acar, Tayfun, et al.. (2024). Evaluation of bacteriophage ϕ11 host recognition protein and its host-binding peptides for diagnosing/targeting Staphylococcus aureus infections. International Journal of Antimicrobial Agents. 64(2). 107230–107230. 2 indexed citations
4.
Atiq, Ferdows, Orla Rawley, Jamie M. O’Sullivan, et al.. (2024). R1205H (Vicenza) causes conformational changes in the von Willebrand factor D′D3 domains and enhances von Willebrand factor binding to clearance receptors LRP1 and SR-AI. Journal of Thrombosis and Haemostasis. 22(10). 2752–2760.
5.
Özbil, Mehmet, et al.. (2024). 1H-Indole-2,3-dione 3-thiosemicarbazones Carrying a 4-sulfamoylphenyl Moiety with Selective Antiviral Activity Against Reovirus-1. Acta chimica slovenica. 71(2). 215–225. 1 indexed citations
6.
Özbil, Mehmet, et al.. (2023). Antiviral activity and molecular modeling studies on 1H-indole-2,3-diones carrying a naphthalene moiety. Journal of Molecular Structure. 1281. 135100–135100. 4 indexed citations
7.
8.
Antika, Gizem, et al.. (2022). Strigolactone Analogs: Two New Potential Bioactiphores for Glioblastoma. ACS Chemical Neuroscience. 13(5). 572–580. 8 indexed citations
9.
Özbil, Mehmet, et al.. (2021). Computational analysis of functional monomers used in molecular imprinting for promising COVID-19 detection. Computational and Theoretical Chemistry. 1199. 113215–113215. 23 indexed citations
10.
Özbil, Mehmet, et al.. (2021). Structural rearrangement of Neisseria meningitidis transferrin binding protein A (TbpA) prior to human transferrin protein (hTf) binding. TURKISH JOURNAL OF CHEMISTRY. 45(4). 1146–1154. 3 indexed citations
11.
Özbil, Mehmet, et al.. (2020). Synthesis, molecular modeling and antiviral activity of novel 5-fluoro-1H-indole-2,3-dione 3-thiosemicarbazones. Bioorganic Chemistry. 104. 104202–104202. 39 indexed citations
12.
Özbil, Mehmet, et al.. (2020). Comparison of clinically approved molecules on SARS-CoV-2 drug target proteins: a molecular docking study. TURKISH JOURNAL OF CHEMISTRY. 45(1). 35–41. 12 indexed citations
13.
Özbil, Mehmet, et al.. (2019). Novel N‐(1‐thia‐4‐azaspiro[4.5]decan‐4‐yl)carboxamide derivatives as potent and selective influenza virus fusion inhibitors. Archiv der Pharmazie. 352(11). e1900028–e1900028. 7 indexed citations
14.
Lee, Hyuck Jin, Kyle J. Korshavn, Juhye Kang, et al.. (2016). Structural and Mechanistic Insights into Development of Chemical Tools to Control Individual and Inter‐Related Pathological Features in Alzheimer's Disease. Chemistry - A European Journal. 23(11). 2706–2715. 26 indexed citations
15.
Block, Eric, Seogjoo Jang, Hiroaki Matsunami, et al.. (2015). Implausibility of the vibrational theory of olfaction. Proceedings of the National Academy of Sciences. 112(21). E2766–74. 69 indexed citations
16.
Cook, Nathan P., et al.. (2013). Unraveling the Photoluminescence Response of Light-Switching Ruthenium(II) Complexes Bound to Amyloid-β. Journal of the American Chemical Society. 135(29). 10810–10816. 71 indexed citations
17.
Kurouski, Dmitry, et al.. (2012). Disulfide Bridges Remain Intact while Native Insulin Converts into Amyloid Fibrils. PLoS ONE. 7(6). e36989–e36989. 79 indexed citations
18.
Özbil, Mehmet, Arghya Barman, Ram Prasad Bora, & Rajeev Prabhakar. (2012). Computational Insights into Dynamics of Protein Aggregation and Enzyme–Substrate Interactions. The Journal of Physical Chemistry Letters. 3(23). 3460–3469. 5 indexed citations
19.
Zhu, Xiaoxia, Arghya Barman, Mehmet Özbil, et al.. (2011). Mechanism of peptide hydrolysis by co-catalytic metal centers containing leucine aminopeptidase enzyme: a DFT approach. JBIC Journal of Biological Inorganic Chemistry. 17(2). 209–222. 22 indexed citations
20.
Bora, Ram Prasad, Mehmet Özbil, & Rajeev Prabhakar. (2009). Elucidation of insulin degrading enzyme catalyzed site specific hydrolytic cleavage of amyloid β peptide: a comparative density functional theory study. JBIC Journal of Biological Inorganic Chemistry. 15(4). 485–495. 13 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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