Anna K. Tickler
Impact in
- Biomaterials top 5%
- Supramolecular Self-Assembly in Materials
- Physiology top 5%
- Alzheimer's disease research and treatments
Papers in
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- Chemical Synthesis and Analysis 3
- Protein Structure and Dynamics 2
- Machine Learning in Bioinformatics 2
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- Alzheimer's disease research and treatments 5
- Co-authors
- John D. Wade (6 shared papers)Cait E. MacPhee (3 shared papers)Glyn L. Devlin (3 shared papers)Christopher M. Dobson (2 shared papers)Adam M. Squires (2 shared papers)Colin J. Barrow (2 shared papers)Sally L. Gras (2 shared papers)Michael A. Horton (1 shared paper)
- Journals
- Journal of the American Chemical Society (2 papers)Journal of Biological Chemistry (2 papers)Journal of Peptide Science (1 paper)Journal of Neuroinflammation (1 paper)Biomaterials (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Anna K. Tickler
10 papers receiving 840 citations
Peers
Comparison fields: 5 of 78
- Biomaterials 263
- Physiology 417
- Neurology 77
- Biological Psychiatry 17
- Molecular Biology 445
Countries citing papers authored by Anna K. Tickler
This map shows the geographic impact of Anna K. Tickler'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 Anna K. Tickler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna K. Tickler more than expected).
Fields of papers citing papers by Anna K. Tickler
This network shows the impact of papers produced by Anna K. Tickler. 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 Anna K. Tickler. The network helps show where Anna K. Tickler may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna K. Tickler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 160 | |
| 2 | 2003 | 158 | |
| 3 | 2006 | 103 | |
| 4 | 2005 | 100 | |
| 5 | 2001 | 84 | |
| 6 | 2006 | 77 | |
| 7 | 2008 | 72 | |
| 8 | 2004 | 46 | |
| 9 | 2007 | 26 | |
| 10 | 2005 | 22 |
About Anna K. Tickler
Anna K. Tickler is a scholar working on Molecular Biology, Physiology, Pharmacology, Organic Chemistry and Biomaterials, having authored 10 papers that have together received 848 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Chemical Synthesis and Analysis (3 papers), Supramolecular Self-Assembly in Materials (2 papers), Protein Structure and Dynamics (2 papers), Machine Learning in Bioinformatics (2 papers), Click Chemistry and Applications (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Biomaterials (263 citations), Physiology (417 citations), Neurology (77 citations), Biological Psychiatry (17 citations) and Molecular Biology (445 citations). Anna K. Tickler has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include John D. Wade, Cait E. MacPhee, Glyn L. Devlin, Christopher M. Dobson, Adam M. Squires, Colin J. Barrow, Sally L. Gras, Michael A. Horton, Guy C. Brown and Martyn A. Sharpe. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry, Journal of Peptide Science, Journal of Neuroinflammation and Biomaterials.
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.