Luitgard Nagel‐Steger
- Molecular Biology top 10%
- Physiology top 2%
- Computational Theory and Mathematics top 2%
- Pharmacology top 5%
- Neurology top 5%
- Co-authors
- Dieter WillboldDetlev RiesnerThomas van GroenBirgit StrodelInga KadishKatja WiesehanMichael C. OwenSusanne Aileen Funke
- Topics
- Alzheimer's disease research and treatments (25 papers)Computational Drug Discovery Methods (11 papers)Protein Structure and Dynamics (9 papers)
- Cited by
- PhysiologyNeurologyMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Luitgard Nagel‐Steger
56 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.3k
- Physiology 881
- Computational Theory and Mathematics 279
- Pharmacology 228
- Neurology 186
Countries citing papers authored by Luitgard Nagel‐Steger
This map shows the geographic impact of Luitgard Nagel‐Steger'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 Luitgard Nagel‐Steger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luitgard Nagel‐Steger more than expected).
Fields of papers citing papers by Luitgard Nagel‐Steger
This network shows the impact of papers produced by Luitgard Nagel‐Steger. 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 Luitgard Nagel‐Steger. The network helps show where Luitgard Nagel‐Steger may publish in the future.
Co-authorship network of co-authors of Luitgard Nagel‐Steger
This figure shows the co-authorship network connecting the top 25 collaborators of Luitgard Nagel‐Steger. A scholar is included among the top collaborators of Luitgard Nagel‐Steger 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 Luitgard Nagel‐Steger. Luitgard Nagel‐Steger 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 | 5 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 17 | |
| 7 | 47 | |
| 8 | 25 | |
| 9 | 32 | |
| 10 | 12 | |
| 11 | 29 | |
| 12 | 40 | |
| 13 | 14 | |
| 14 | 24 | |
| 15 | 46 | |
| 16 | 66 | |
| 17 | 7 | |
| 18 | 32 | |
| 19 | 110 | |
| 20 | 36 |
About Luitgard Nagel‐Steger
Luitgard Nagel‐Steger is a scholar working on Physiology, Computational Theory and Mathematics and Biochemistry, having authored 58 papers that have together received 2.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (25 papers), Computational Drug Discovery Methods (11 papers) and Protein Structure and Dynamics (9 papers). The work is most often cited by research in Physiology (881 citations), Neurology (186 citations) and Molecular Biology (1.3k citations). Luitgard Nagel‐Steger has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Dieter Willbold, Detlev Riesner, Thomas van Groen, Birgit Strodel, Inga Kadish, Katja Wiesehan, Michael C. Owen, Susanne Aileen Funke, Jan Stöhr and Lothar Gremer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.