Aynur O. Aptula
- Dermatology top 0.2%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 5%
- Health, Toxicology and Mutagenesis top 2%
- Small Animals top 0.5%
- Co-authors
- David W. RobertsGrace PatlewiczT.W. SchultzM CroninTatiana I. NetzevaPetra KernJohn D. WalkerDavid A. Basketter
- Topics
- Contact Dermatitis and Allergies (29 papers)Computational Drug Discovery Methods (18 papers)Antimicrobial agents and applications (15 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Aynur O. Aptula
56 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 129
- Dermatology 1.2k
- Computational Theory and Mathematics 1.1k
- Organic Chemistry 644
- Health, Toxicology and Mutagenesis 567
- Small Animals 524
Countries citing papers authored by Aynur O. Aptula
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 16 | |
| 4 | 6 | |
| 5 | 24 | |
| 6 | 29 | |
| 7 | 45 | |
| 8 | 128 | |
| 9 | 80 | |
| 10 | 10 | |
| 11 | 36 | |
| 12 | 78 | |
| 13 | 63 | |
| 14 | 92 | |
| 15 | 60 | |
| 16 | 60 | |
| 17 | 43 | |
| 18 | 102 | |
| 19 | Categorical modeling of the flow pattern of liquid organic compounds between blade electrodes using semiempirical and ab initio quantum chemical descriptors | 1 |
| 20 | 127 |
About Aynur O. Aptula
Aynur O. Aptula is a scholar working on Dermatology, Computational Theory and Mathematics and Organic Chemistry, having authored 56 papers that have together received 3.0k indexed citations. Recurring topics across this work include Contact Dermatitis and Allergies (29 papers), Computational Drug Discovery Methods (18 papers) and Antimicrobial agents and applications (15 papers). The work is most often cited by research in Dermatology (1.2k citations), Chemical Health and Safety (69 citations) and Small Animals (524 citations). Aynur O. Aptula has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include David W. Roberts, Grace Patlewicz, T.W. Schultz, M Cronin, Tatiana I. Netzeva, Petra Kern, John D. Walker, David A. Basketter, Ian Kimber and Gerrit Schüürmann. Their work appears in journals such as Chemosphere, Toxicological Sciences and Environmental Toxicology and 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.