Danuta Maksel
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
- Adenosine and Purinergic Signaling
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- Neuroscience and Neuropharmacology Research
- Axon Guidance and Neuronal Signaling
Papers in
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- Polyamine Metabolism and Applications 4
- Nuclear Structure and Function 2
- Biochemical and Molecular Research 1
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- Carbohydrate Chemistry and Synthesis 3
- Co-authors
- David H. Small (3 shared papers)Xu Hou (2 shared papers)Marie‐Isabel Aguilar (2 shared papers)Sharon Unabia (2 shared papers)G. Michael Blackburn (4 shared papers)Kenwyn R. Gayler (4 shared papers)Paul R. Gooley (4 shared papers)James Swarbrick (4 shared papers)
In The Last Decade
Danuta Maksel
12 papers receiving 469 citations
Peers
Comparison fields: 5 of 73
- Physiology 56
- Cellular and Molecular Neuroscience 141
- Physiology 174
- Developmental Neuroscience 24
- Pharmacology 85
Countries citing papers authored by Danuta Maksel
This map shows the geographic impact of Danuta Maksel'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 Danuta Maksel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danuta Maksel more than expected).
Fields of papers citing papers by Danuta Maksel
This network shows the impact of papers produced by Danuta Maksel. 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 Danuta Maksel. The network helps show where Danuta Maksel may publish in the future.
Co-authors
The 25 scholars most cited alongside Danuta Maksel, 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 | 2007 | 167 | |
| 2 | 2007 | 79 | |
| 3 | 2000 | 44 | |
| 4 | 1998 | 39 | |
| 5 | 2008 | 38 | |
| 6 | 2001 | 30 | |
| 7 | 2002 | 26 | |
| 8 | 2001 | 20 | |
| 9 | 2016 | 11 | |
| 10 | 2003 | 8 | |
| 11 | 2019 | 6 | |
| 12 | Methanetrisphosphonate and its adenine nucleotide derivatives as inhibitors of human and plant diadenosine tetraphosphate hydrolases | 1999 | 4 |
About Danuta Maksel
Danuta Maksel is a scholar working on Molecular Biology, Organic Chemistry, Cell Biology, Physiology and Plant Science, having authored 12 papers that have together received 472 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (4 papers), Alzheimer's disease research and treatments (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Nuclear Structure and Function (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Physiology (56 citations), Cellular and Molecular Neuroscience (141 citations), Physiology (174 citations), Developmental Neuroscience (24 citations) and Pharmacology (85 citations). Danuta Maksel has collaborated with scholars based in Australia, Sweden and Poland. Frequent co-authors include David H. Small, Xu Hou, Marie‐Isabel Aguilar, Sharon Unabia, G. Michael Blackburn, Kenwyn R. Gayler, Paul R. Gooley, James Swarbrick, Qiao‐Xin Li and Steven Petratos. Their work appears in journals such as Biochemical Journal, Biochimica et Biophysica Acta (BBA) - Biomembranes, Cellular & Molecular Biology Letters, Brain and Journal of Molecular Biology.
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.