Mathias Schwanstecher
- Molecular Biology top 10%
- Pathology and Forensic Medicine top 1%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Christina SchwanstecherU. PantenGabriela GonzálezJoseph BryanLydia Aguilar‐BryanKumud KunjilwarJohn P. ClementUlrike Meyer
- Topics
- Pancreatic function and diabetes (21 papers)Cardiac Ischemia and Reperfusion (16 papers)Adenosine and Purinergic Signaling (9 papers)
- Partner nations
- GermanyUnited StatesCzechia
In The Last Decade
Mathias Schwanstecher
37 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.0k
- Pathology and Forensic Medicine 1.0k
- Surgery 773
- Endocrinology, Diabetes and Metabolism 469
- Cardiology and Cardiovascular Medicine 343
Countries citing papers authored by Mathias Schwanstecher
This map shows the geographic impact of Mathias Schwanstecher'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 Mathias Schwanstecher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Schwanstecher more than expected).
Fields of papers citing papers by Mathias Schwanstecher
This network shows the impact of papers produced by Mathias Schwanstecher. 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 Mathias Schwanstecher. The network helps show where Mathias Schwanstecher may publish in the future.
Co-authorship network of co-authors of Mathias Schwanstecher
This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Schwanstecher. A scholar is included among the top collaborators of Mathias Schwanstecher 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 Mathias Schwanstecher. Mathias Schwanstecher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 60 | |
| 4 | 24 | |
| 5 | 41 | |
| 6 | 13 | |
| 7 | 87 | |
| 8 | 9 | |
| 9 | 35 | |
| 10 | 12 | |
| 11 | 194 | |
| 12 | Association and Stoichiometry of KATP Channel Subunitsbreakdown → | 579 |
| 13 | 34 | |
| 14 | 16 | |
| 15 | 13 | |
| 16 | 22 | |
| 17 | 13 | |
| 18 | 54 | |
| 19 | 53 | |
| 20 | 36 |
About Mathias Schwanstecher
Mathias Schwanstecher is a scholar working on Physiology, Pathology and Forensic Medicine and Emergency Medicine, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (21 papers), Cardiac Ischemia and Reperfusion (16 papers) and Adenosine and Purinergic Signaling (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.0k citations), Developmental Neuroscience (144 citations) and Emergency Medicine (310 citations). Mathias Schwanstecher has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Christina Schwanstecher, U. Panten, Gabriela González, Joseph Bryan, Lydia Aguilar‐Bryan, Kumud Kunjilwar, John P. Clement, Ulrike Meyer, Sigurd Lenzen and Bernd J. Zünkler. Their work appears in journals such as Journal of Biological Chemistry, Neuron and The EMBO Journal.
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.