Sven Weiler

550 citations
12 papers · 347 · h-index 9

Impact in

    • Synthetic Organic Chemistry Methods
    • Carbohydrate Chemistry and Synthesis
    • Asymmetric Synthesis and Catalysis
    • Marine Sponges and Natural Products

Papers in

    • Glycosylation and Glycoproteins Research 2
    • Signaling Pathways in Disease 2
    • Sphingolipid Metabolism and Signaling 1
    • Carbohydrate Chemistry and Synthesis 3

Sven Weiler

10 papers receiving 336 citations

Peers

Sven Weiler
Comparison fields: 5 of 50
  • Organic Chemistry 238
  • Biotechnology 60
  • Pharmacology 51
  • Biochemistry 22
  • Molecular Biology 182
Replace Robert J. Aversa with:
Robert J. Aversa United States
Amarendra B. Mikkilineni United States
Joshua C. Horan United States
Sayee G. Hegde United States
Mark D. Chappell United States
Anke Schmauder Germany
Tetsuo Obitsu Japan
Kathrin Prantz Austria
Sudhakar Manda India
Takeshi Kuroda Japan
Sven Weiler relative to Robert J. Aversa United States Robert J. Aversa's profile →
Citations per field
00.5×1.5×
Robert J. Aversa · 1×
Citations per year

Countries citing papers authored by Sven Weiler

Since Specialization
Citations

This map shows the geographic impact of Sven Weiler'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 Sven Weiler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Weiler more than expected).

Fields of papers citing papers by Sven Weiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sven Weiler. 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 Sven Weiler. The network helps show where Sven Weiler may publish in the future.

Co-authors

The 25 scholars most cited alongside Sven Weiler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sven Weiler Line = papers co-authored together Sven Weiler links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2003113
2 201464
3 199938
4 199837
5 199933
6 200321
7 199616
8 20109
9 19999
10 20227
11 20250
12 20250

About Sven Weiler

Sven Weiler is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Rheumatology and Hematology, having authored 12 papers that have together received 347 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Glycosylation and Glycoproteins Research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Signaling Pathways in Disease (2 papers), Heterotopic Ossification and Related Conditions (2 papers), Sphingolipid Metabolism and Signaling (1 paper) and Parathyroid Disorders and Treatments (1 paper). The work is most often cited by research in Organic Chemistry (238 citations), Biotechnology (60 citations), Pharmacology (51 citations), Biochemistry (22 citations) and Molecular Biology (182 citations). Sven Weiler has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Erik J. Sorensen, David A. Vosburg, Christopher D. Vanderwal, Richard R. Schmidt, Andreas Billich, Anna Schubart, Christian Beerli, Berndt Oberhauser, Honnappa Srinivas and Christian Bergsdorf. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Anti-Cancer Drugs and Chirality.

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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