Silvia Heringer‐Walther
- Cardiology and Cardiovascular Medicine top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Pharmacology top 2%
- Genetics top 5%
- Co-authors
- Thomas WaltherHeinz‐Peter SchultheissMichael BäderMaria José Campagnole‐SantosRobson A.S. SantosSérgio Veloso Brant PinheiroElizabeth Pereira MendesRobert C. Speth
- Topics
- Renin-Angiotensin System Studies (15 papers)Receptor Mechanisms and Signaling (7 papers)Cardiomyopathy and Myosin Studies (7 papers)
- Partner nations
- GermanyUnited KingdomBrazil
In The Last Decade
Silvia Heringer‐Walther
30 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Cardiology and Cardiovascular Medicine 1.9k
- Endocrinology, Diabetes and Metabolism 1.1k
- Molecular Biology 922
- Pharmacology 470
- Genetics 319
Countries citing papers authored by Silvia Heringer‐Walther
This map shows the geographic impact of Silvia Heringer‐Walther'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 Silvia Heringer‐Walther with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Heringer‐Walther more than expected).
Fields of papers citing papers by Silvia Heringer‐Walther
This network shows the impact of papers produced by Silvia Heringer‐Walther. 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 Silvia Heringer‐Walther. The network helps show where Silvia Heringer‐Walther may publish in the future.
Co-authorship network of co-authors of Silvia Heringer‐Walther
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Heringer‐Walther. A scholar is included among the top collaborators of Silvia Heringer‐Walther 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 Silvia Heringer‐Walther. Silvia Heringer‐Walther is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 18 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 60 | |
| 7 | 109 | |
| 8 | 59 | |
| 9 | 47 | |
| 10 | 20 | |
| 11 | 10 | |
| 12 | 23 | |
| 13 | 66 | |
| 14 | 12 | |
| 15 | 13 | |
| 16 | Angiotensin-(1–7) is an endogenous ligand for the G protein-coupled receptor Masbreakdown → | 1424 |
| 17 | 53 | |
| 18 | 13 | |
| 19 | 47 | |
| 20 | 12 |
About Silvia Heringer‐Walther
Silvia Heringer‐Walther is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (15 papers), Receptor Mechanisms and Signaling (7 papers) and Cardiomyopathy and Myosin Studies (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.9k citations), Endocrinology, Diabetes and Metabolism (1.1k citations) and Genetics (319 citations). Silvia Heringer‐Walther has collaborated with scholars based in Germany, United Kingdom and Brazil. Frequent co-authors include Thomas Walther, Heinz‐Peter Schultheiss, Michael Bäder, Maria José Campagnole‐Santos, Robson A.S. Santos, Sérgio Veloso Brant Pinheiro, Elizabeth Pereira Mendes, Robert C. Speth, Ana Cristina Simões e Silva and Virgı́nia S. Lemos. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and PLoS ONE.
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.