Aynur O. Aptula

6.7k total citations
56 papers, 3.0k citations indexed

About

Aynur O. Aptula is a scholar working on Dermatology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Aynur O. Aptula has authored 56 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Dermatology, 26 papers in Organic Chemistry and 18 papers in Computational Theory and Mathematics. Recurrent topics in Aynur O. Aptula's work include Contact Dermatitis and Allergies (29 papers), Computational Drug Discovery Methods (18 papers) and Antimicrobial agents and applications (15 papers). Aynur O. Aptula is often cited by papers focused on Contact Dermatitis and Allergies (29 papers), Computational Drug Discovery Methods (18 papers) and Antimicrobial agents and applications (15 papers). Aynur O. Aptula collaborates with scholars based in United Kingdom, United States and Germany. Aynur O. Aptula's co-authors include David W. Roberts, Grace Patlewicz, T.W. Schultz, M Cronin, Tatiana I. Netzeva, Petra Kern, John D. Walker, Ian Kimber, David A. Basketter and Gerrit Schüürmann and has published in prestigious journals such as Chemosphere, Toxicological Sciences and Environmental Toxicology and Chemistry.

In The Last Decade

Aynur O. Aptula

56 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aynur O. Aptula United Kingdom 32 1.2k 1.1k 644 567 524 56 3.0k
Steven J. Enoch United Kingdom 31 337 0.3× 1.2k 1.1× 328 0.5× 720 1.3× 401 0.8× 79 2.7k
Martin D. Barratt United Kingdom 32 522 0.4× 555 0.5× 312 0.5× 243 0.4× 538 1.0× 101 2.6k
S. Dimitrov Bulgaria 25 229 0.2× 790 0.7× 165 0.3× 713 1.3× 220 0.4× 59 2.0k
Chihae Yang United States 25 130 0.1× 1.9k 1.8× 343 0.5× 653 1.2× 400 0.8× 71 3.4k
Vinícius M. Alves United States 23 136 0.1× 838 0.8× 244 0.4× 94 0.2× 155 0.3× 53 1.5k
Juliane Kleiner United Kingdom 16 78 0.1× 134 0.1× 53 0.1× 1.1k 1.9× 208 0.4× 26 2.8k
V. Е. Kuz’min Ukraine 25 57 0.0× 2.0k 1.9× 784 1.2× 147 0.3× 99 0.2× 109 3.2k
Eric Deconinck Belgium 30 177 0.1× 257 0.2× 61 0.1× 67 0.1× 27 0.1× 121 2.3k
Alessandra Roncaglioni Italy 25 39 0.0× 1.1k 1.0× 231 0.4× 475 0.8× 158 0.3× 116 2.0k
Alla P. Toropova Italy 38 36 0.0× 4.1k 3.9× 1.4k 2.2× 465 0.8× 102 0.2× 316 5.5k

Countries citing papers authored by Aynur O. Aptula

Since Specialization
Citations

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

Fields of papers citing papers by Aynur O. Aptula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aynur O. Aptula. 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 Aynur O. Aptula. The network helps show where Aynur O. Aptula may publish in the future.

Co-authorship network of co-authors of Aynur O. Aptula

This figure shows the co-authorship network connecting the top 25 collaborators of Aynur O. Aptula. A scholar is included among the top collaborators of Aynur O. Aptula 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 Aynur O. Aptula. Aynur O. Aptula 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.
Roberts, David W., et al.. (2024). Updating Reaction Mechanistic Domains for Skin Sensitization: 1. Nucleophilic Skin Sensitizers. Chemical Research in Toxicology. 37(11). 1757–1768. 1 indexed citations
2.
Roberts, David W., A.M. Api, & Aynur O. Aptula. (2016). Chemical applicability domain of the Local Lymph Node Assay (LLNA) for skin sensitisation potency. Part 2. The biological variability of the murine Local Lymph Node Assay (LLNA) for skin sensitisation. Regulatory Toxicology and Pharmacology. 80. 255–259. 16 indexed citations
3.
Schultz, T.W. & Aynur O. Aptula. (2016). Kinetic-Based Reactivity for Michael Acceptors: Structural Activity Relationships and Its Relationship to Excess Acute Fish Toxicity. Bulletin of Environmental Contamination and Toxicology. 97(6). 752–756. 6 indexed citations
4.
Roberts, David W., Aynur O. Aptula, T.W. Schultz, et al.. (2015). A practical guidance for Cramer class determination. Regulatory Toxicology and Pharmacology. 73(3). 971–984. 24 indexed citations
5.
Kern, Petra, et al.. (2010). Local Lymph Node Data for the Evaluation of Skin Sensitization Alternatives: A Second Compilation. Dermatitis. 21(1). 8–32. 128 indexed citations
6.
Aleksić, Maja, et al.. (2009). Reactivity Profiling: Covalent Modification of Single Nucleophile Peptides for Skin Sensitization Risk Assessment. Toxicological Sciences. 108(2). 401–411. 80 indexed citations
7.
Maxwell, Gavin, Maja Aleksić, Aynur O. Aptula, et al.. (2008). Assuring Consumer Safety without Animal Testing: A Feasibility Case Study for Skin Sensitisation. Alternatives to Laboratory Animals. 36(5). 557–568. 21 indexed citations
8.
Patlewicz, Grace, S. Dimitrov, Lawrence K. Low, et al.. (2007). TIMES-SS—A promising tool for the assessment of skin sensitization hazard. A characterization with respect to the OECD validation principles for (Q)SARs and an external evaluation for predictivity. Regulatory Toxicology and Pharmacology. 48(2). 225–239. 78 indexed citations
9.
Roberts, David W., Grace Patlewicz, S. Dimitrov, et al.. (2007). TIMES-SS—A Mechanistic Evaluation of an External Validation Study Using Reaction Chemistry Principles. Chemical Research in Toxicology. 20(9). 1321–1330. 48 indexed citations
10.
Patlewicz, Grace, Aynur O. Aptula, David W. Roberts, & Eugenio Uriarte. (2007). A Minireview of Available Skin Sensitization (Q)SARs/Expert Systems. QSAR & Combinatorial Science. 27(1). 60–76. 35 indexed citations
11.
Roberts, David W., Aynur O. Aptula, Grace Patlewicz, & Camilla Pease. (2007). Chemical reactivity indices and mechanism‐based read‐across for non‐animal based assessment of skin sensitisation potential. Journal of Applied Toxicology. 28(4). 443–454. 63 indexed citations
12.
Patlewicz, Grace, Aynur O. Aptula, Eugenio Uriarte, et al.. (2007). An evaluation of selected global (Q)SARs/expert systems for the prediction of skin sensitisation potential. SAR and QSAR in environmental research. 18(5-6). 515–541. 60 indexed citations
13.
Aptula, Aynur O., David W. Roberts, & Camilla Pease. (2006). Haptens, prohaptens and prehaptens, or electrophiles and proelectrophiles. Contact Dermatitis. 56(1). 54–56. 43 indexed citations
14.
Aptula, Aynur O., Nina Jeliazkova, T.W. Schultz, & M Cronin. (2005). The Better Predictive Model: High q2 for the Training Set or Low Root Mean Square Error of Prediction for the Test Set?. QSAR & Combinatorial Science. 24(3). 385–396. 102 indexed citations
15.
Aptula, Aynur O., David W. Roberts, M Cronin, & T. Wayne Schultz. (2005). Chemistry−Toxicity Relationships for the Effects of Di- and Trihydroxybenzenes to Tetrahymena pyriformis. Chemical Research in Toxicology. 18(5). 844–854. 49 indexed citations
16.
Suzuki, Takahiro, Kohei Yoshida, Yoshio Iwai, et al.. (2004). Categorical modeling of the flow pattern of liquid organic compounds between blade electrodes using semiempirical and ab initio quantum chemical descriptors. Croatica Chemica Acta. 77. 377–389. 1 indexed citations
17.
Schüürmann, Gerrit, Aynur O. Aptula, Ralph Kühne, & Ralf‐Uwe Ebert. (2003). Stepwise Discrimination between Four Modes of Toxic Action of Phenols in the Tetrahymena pyriformis Assay. Chemical Research in Toxicology. 16(8). 974–987. 45 indexed citations
18.
Cronin, M, Aynur O. Aptula, Judith Duffy, et al.. (2002). Comparative assessment of methods to develop QSARs for the prediction of the toxicity of phenols to Tetrahymena pyriformis. Chemosphere. 49(10). 1201–1221. 127 indexed citations
19.
Aptula, Aynur O., Tatiana I. Netzeva, Iva Valkova, et al.. (2002). Multivariate Discrimination between Modes of Toxic Action of Phenols. Quantitative Structure-Activity Relationships. 21(1). 12–12. 94 indexed citations
20.
Schmieder, Patricia K., Aynur O. Aptula, Edwin J. Routledge, John P. Sumpter, & Ovanes Mekenyan. (2000). ESTROGENICITY OF ALKYLPHENOLIC COMPOUNDS: A 3-D STRUCTURE–ACTIVITY EVALUATION OF GENE ACTIVATION. Environmental Toxicology and Chemistry. 19(7). 1727–1727. 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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