Sylva L. U. Schwager

2.8k citations
45 papers · 2.3k indexed · 1 hit paper · h-index 24
Topics
Peptidase Inhibition and Analysis (17 papers)Renin-Angiotensin System Studies (15 papers)Chemical Synthesis and Analysis (12 papers)

In The Last Decade

Sylva L. U. Schwager

44 papers receiving 2.3k citations

Hit Papers

Crystal structure of the human angiotensin-converting enz...20032026201020182003200400600

Peers

Sylva L. U. Schwager
Comparison fields: 5 of 110
  • Molecular Biology 1.6k
  • Cardiology and Cardiovascular Medicine 572
  • Computational Theory and Mathematics 465
  • Oncology 372
  • Insect Science 337
Replace R. Natesh with:
R. Natesh United Kingdom
Emily F. Sabo United States
Otto D. Hensens United States
Saori Takahashi Japan
Xu Shen China
G. Jayarama Bhat United States
Xing Du China
Nam Doo Kim South Korea
Jean‐Pierre Falgueyret Canada
Ching‐Chuan Kuo Taiwan
Sylva L. U. Schwager relative to R. Natesh United Kingdom R. Natesh's profile →
Citations per field
00.5×2.6×
R. Natesh · 1×
Citations per year

Countries citing papers authored by Sylva L. U. Schwager

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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