Lisa M. Häsler

2.1k total citations
7 papers, 268 citations indexed

About

Lisa M. Häsler is a scholar working on Physiology, Pharmacology and Neurology. According to data from OpenAlex, Lisa M. Häsler has authored 7 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 2 papers in Pharmacology and 2 papers in Neurology. Recurrent topics in Lisa M. Häsler's work include Alzheimer's disease research and treatments (4 papers), Computational Drug Discovery Methods (1 paper) and Intracerebral and Subarachnoid Hemorrhage Research (1 paper). Lisa M. Häsler is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Computational Drug Discovery Methods (1 paper) and Intracerebral and Subarachnoid Hemorrhage Research (1 paper). Lisa M. Häsler collaborates with scholars based in Germany, Denmark and United States. Lisa M. Häsler's co-authors include Stephan A. Kaeser, Mathias Jucker, Matthias Staufenbiel, Natalie Beschörner, Jasmin Mahler, Kaj Blennow, Tammaryn Lashley, Adrian L. Oblak, Bernardino Ghetti and K. Peter R. Nilsson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of Neurology and BMC Cancer.

In The Last Decade

Lisa M. Häsler

6 papers receiving 264 citations

Peers

Lisa M. Häsler
Comparison fields: 5 of 64
  • Physiology 185
  • Molecular Biology 118
  • Neurology 60
  • Neurology 38
  • Computational Theory and Mathematics 34
Replace Natalie Beschörner with:
Natalie Beschörner Denmark
Tamta Arakhamia United States
Omar M. Kashmer United States
Dailu Chen United States
Eleni Gkanatsiou Sweden
Geereesh Shankar Ireland
James Peddy United States
Lan Ye Germany
Saskia J. Pollack United Kingdom
Igor C. Fontana Sweden
Natalie Beschörner Denmark View profile →
Citations per field, relative to Lisa M. Häsler
Lisa M. Häsler · 1×
Citations per year, relative to Lisa M. Häsler
Lisa M. Häsler · 1×

Countries citing papers authored by Lisa M. Häsler

Since Specialization
Citations

This map shows the geographic impact of Lisa M. Häsler'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 Lisa M. Häsler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa M. Häsler more than expected).

Fields of papers citing papers by Lisa M. Häsler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa M. Häsler. 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 Lisa M. Häsler. The network helps show where Lisa M. Häsler may publish in the future.

Co-authorship network of co-authors of Lisa M. Häsler

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa M. Häsler. A scholar is included among the top collaborators of Lisa M. Häsler 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 Lisa M. Häsler. Lisa M. Häsler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 33
2 13
3 21
4 0
5 15
6 162
7 24

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.

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