Sylva L. U. Schwager
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Computational Theory and Mathematics top 1%
- Oncology top 10%
- Insect Science top 2%
- Co-authors
- Edward D. SturrockK. Ravi AcharyaR. NateshMario R. EhlersHazel R. EvansGeoffrey MasuyerHazel CorradiAdriana K. Carmona
- Topics
- Peptidase Inhibition and Analysis (17 papers)Renin-Angiotensin System Studies (15 papers)Chemical Synthesis and Analysis (12 papers)
- Partner nations
- South AfricaUnited KingdomUnited States
In The Last Decade
Sylva L. U. Schwager
44 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.6k
- Cardiology and Cardiovascular Medicine 572
- Computational Theory and Mathematics 465
- Oncology 372
- Insect Science 337
Countries citing papers authored by Sylva L. U. Schwager
This map shows the geographic impact of Sylva L. U. Schwager'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 Sylva L. U. Schwager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylva L. U. Schwager more than expected).
Fields of papers citing papers by Sylva L. U. Schwager
This network shows the impact of papers produced by Sylva L. U. Schwager. 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 Sylva L. U. Schwager. The network helps show where Sylva L. U. Schwager may publish in the future.
Co-authorship network of co-authors of Sylva L. U. Schwager
This figure shows the co-authorship network connecting the top 25 collaborators of Sylva L. U. Schwager. A scholar is included among the top collaborators of Sylva L. U. Schwager 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 Sylva L. U. Schwager. Sylva L. U. Schwager 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 | 3 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 18 | |
| 6 | 21 | |
| 7 | 15 | |
| 8 | 131 | |
| 9 | 13 | |
| 10 | 26 | |
| 11 | 76 | |
| 12 | 86 | |
| 13 | 45 | |
| 14 | 133 | |
| 15 | 234 | |
| 16 | 4 | |
| 17 | 72 | |
| 18 | Crystal structure of the human angiotensin-converting enzyme–lisinopril complexbreakdown → | 712 |
| 19 | 33 | |
| 20 | 7 |
About Sylva L. U. Schwager
Sylva L. U. Schwager is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Oncology, having authored 45 papers that have together received 2.3k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (17 papers), Renin-Angiotensin System Studies (15 papers) and Chemical Synthesis and Analysis (12 papers). The work is most often cited by research in Computational Theory and Mathematics (465 citations), Insect Science (337 citations) and Cardiology and Cardiovascular Medicine (572 citations). Sylva L. U. Schwager has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Edward D. Sturrock, K. Ravi Acharya, R. Natesh, Mario R. Ehlers, Hazel R. Evans, Geoffrey Masuyer, Hazel Corradi, Adriana K. Carmona, R. Elwyn Isaac and Wolf F. Brandt. Their work appears in journals such as Nature, Journal of Biological Chemistry 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.