Alexander Scheer
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Cell Biology top 10%
- Physiology
- Immunology
- Co-authors
- Susanna CotecchiaFrancesca FanelliPier G. De BenedettiPeter GierschikTommaso CostaPetra SchnabelAmanda CarozziPeter J. Parker
- Topics
- Receptor Mechanisms and Signaling (19 papers)Neuropeptides and Animal Physiology (9 papers)Mass Spectrometry Techniques and Applications (6 papers)
- Partner nations
- SwitzerlandItalyGermany
In The Last Decade
Alexander Scheer
50 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.9k
- Cellular and Molecular Neuroscience 957
- Cell Biology 198
- Physiology 175
- Immunology 171
Countries citing papers authored by Alexander Scheer
This map shows the geographic impact of Alexander Scheer'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 Alexander Scheer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Scheer more than expected).
Fields of papers citing papers by Alexander Scheer
This network shows the impact of papers produced by Alexander Scheer. 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 Alexander Scheer. The network helps show where Alexander Scheer may publish in the future.
Co-authorship network of co-authors of Alexander Scheer
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Scheer. A scholar is included among the top collaborators of Alexander Scheer 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 Alexander Scheer. Alexander Scheer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 19 | |
| 3 | Financial Repression in General Equilibrium | 1 |
| 4 | Finding Patient Visits in EMR Using LUXID | 1 |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 268 | |
| 10 | 17 | |
| 11 | 71 | |
| 12 | 42 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | 42 | |
| 16 | 37 | |
| 17 | 87 | |
| 18 | 44 | |
| 19 | 129 | |
| 20 | Effective action of amphotericin B on the Trypanosoma cruzi's treatment of experimental infections. | 1 |
About Alexander Scheer
Alexander Scheer is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Animal Science and Zoology, having authored 51 papers that have together received 2.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (19 papers), Neuropeptides and Animal Physiology (9 papers) and Mass Spectrometry Techniques and Applications (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (957 citations), Molecular Biology (1.9k citations) and Biophysics (128 citations). Alexander Scheer has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include Susanna Cotecchia, Francesca Fanelli, Pier G. De Benedetti, Peter Gierschik, Tommaso Costa, Petra Schnabel, Amanda Carozzi, Peter J. Parker, Montserrat Camps and Anthony C. Nichols. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.