Sven B. Schreiber

2.3k citations
5 papers · 1.7k indexed · 1 hit paper · h-index 5
Topics
Protein Structure and Dynamics (3 papers)Microbial Natural Products and Biosynthesis (2 papers)Computational Drug Discovery Methods (2 papers)
Partner nations
GermanyChile

In The Last Decade

Sven B. Schreiber

5 papers receiving 1.6k citations

Hit Papers

PLIP: fully automated protein–ligand interaction profiler2015202620182022201550010001.5k

Peers

Sven B. Schreiber
Comparison fields: 5 of 123
  • Molecular Biology 895
  • Computational Theory and Mathematics 513
  • Organic Chemistry 303
  • Pharmacology 185
  • Infectious Diseases 169
Replace Laurent E. Dardenne with:
Laurent E. Dardenne Brazil
Joël Freyss Switzerland
Jieling Zhao United States
Mario S. Valdés‐Tresanco Colombia
Mario E. Valdés‐Tresanco Cuba
Modest von Korff Switzerland
Edward W. Lowe United States
Gregory Sliwoski United States
Florian Kaiser Germany
Sven B. Schreiber relative to Laurent E. Dardenne Brazil Laurent E. Dardenne's profile →
Citations per field
00.5×1.5×
Laurent E. Dardenne · 1×
Citations per year

Countries citing papers authored by Sven B. Schreiber

Since Specialization
Citations

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

Fields of papers citing papers by Sven B. Schreiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven B. Schreiber

This figure shows the co-authorship network connecting the top 25 collaborators of Sven B. Schreiber. A scholar is included among the top collaborators of Sven B. Schreiber 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 Sven B. Schreiber. Sven B. Schreiber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

About Sven B. Schreiber

Sven B. Schreiber is a scholar working on Geology, Computational Theory and Mathematics and Pharmacology, having authored 5 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Computational Theory and Mathematics (513 citations), Pharmacology (114 citations) and Molecular Biology (895 citations). Sven B. Schreiber has collaborated with scholars based in Germany and Chile. Frequent co-authors include Melissa F. Adasme, V. Joachim Haupt, Michael Schroeder, Sebastian Salentin, M. Teresa Pisabarro, Sergey A. Samsonov, Joan Teyra, Ralph Stelzer and Alexander Lange. Their work appears in journals such as Nucleic Acids Research and BMC Bioinformatics.

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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