Alexandra Mack
- Pharmacology top 5%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Biomedical Engineering
- Physiology
- Co-authors
- Andrea A. RobitzkiPaul G. LayerArnaud ChatonnetEmma P. HalmosPeter G. GibsonHagen ThieleckeStephen ShumackH. Peter Soyer
- Topics
- Cholinesterase and Neurodegenerative Diseases (5 papers)Computational Drug Discovery Methods (4 papers)Diet and metabolism studies (3 papers)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Alexandra Mack
26 papers receiving 568 citations
Peers
Comparison fields: 5 of 101
- Pharmacology 206
- Molecular Biology 201
- Computational Theory and Mathematics 89
- Biomedical Engineering 72
- Physiology 70
Countries citing papers authored by Alexandra Mack
This map shows the geographic impact of Alexandra Mack'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 Alexandra Mack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandra Mack more than expected).
Fields of papers citing papers by Alexandra Mack
This network shows the impact of papers produced by Alexandra Mack. 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 Alexandra Mack. The network helps show where Alexandra Mack may publish in the future.
Co-authorship network of co-authors of Alexandra Mack
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra Mack. A scholar is included among the top collaborators of Alexandra Mack 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 Alexandra Mack. Alexandra Mack is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 20 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 15 | |
| 12 | 51 | |
| 13 | 130 | |
| 14 | Butyrylcholinesterase antisense transfection increases apoptosis in differentiating retinal reaggregates of the chick embryo. | 46 |
| 15 | 43 | |
| 16 | 29 | |
| 17 | 30 | |
| 18 | [Chromophile property of lung tissue towards atebrin with special reference to malignant neoplasms]. | 1 |
| 19 | [Atebrin secretion in urine in diagnosis of malignant tumors]. | 1 |
| 20 | 1 |
About Alexandra Mack
Alexandra Mack is a scholar working on Pharmacology, Computational Theory and Mathematics and Complementary and alternative medicine, having authored 28 papers that have together received 576 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (5 papers), Computational Drug Discovery Methods (4 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Pharmacology (206 citations), Computational Theory and Mathematics (89 citations) and Complementary and alternative medicine (43 citations). Alexandra Mack has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Andrea A. Robitzki, Paul G. Layer, Arnaud Chatonnet, Emma P. Halmos, Peter G. Gibson, Hagen Thielecke, Stephen Shumack, H. Peter Soyer, Jonathan Chan and Peter Foley. Their work appears in journals such as Journal of Molecular Biology, Journal of Neurochemistry and Progress in Neurobiology.
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.