Oliver Sacher

558 citations
15 papers · 388 indexed · h-index 10
Topics
Computational Drug Discovery Methods (8 papers)Microbial Metabolic Engineering and Bioproduction (5 papers)Machine Learning in Bioinformatics (2 papers)

In The Last Decade

Oliver Sacher

14 papers receiving 370 citations

Peers

Oliver Sacher
Comparison fields: 5 of 80
  • Computational Theory and Mathematics 209
  • Molecular Biology 182
  • Health, Toxicology and Mutagenesis 55
  • Materials Chemistry 52
  • Small Animals 47
Replace Christof H. Schwab with:
Christof H. Schwab Germany
Tomasz Magdziarz Poland
Thierry Hanser United Kingdom
Qingda Zang United States
M.P. Payne United Kingdom
Yuki Sakuratani Japan
Atanas Chapkanov Bulgaria
Marco Marzo Italy
Andrea Gissi Italy
Oliver Sacher relative to Christof H. Schwab Germany Christof H. Schwab's profile →
Citations per field
00.5×1.5×
Christof H. Schwab · 1×
Citations per year

Countries citing papers authored by Oliver Sacher

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Sacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Sacher

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 10
2 31
3 1
4 1
5 155
6 31
7 1
8 15
9 20
10 23
11 1
12 1
13 41
14 22
15 35

About Oliver Sacher

Oliver Sacher is a scholar working on Computational Theory and Mathematics, Small Animals and Spectroscopy, having authored 15 papers that have together received 388 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (209 citations), Chemical Health and Safety (5 citations) and Small Animals (47 citations). Oliver Sacher has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Johann Gasteiger, Bruno Bienfait, Chihae Yang, James F. Rathman, Tomasz Magdziarz, Christof H. Schwab, Ann M. Richard, Andrew Worth, Lothar Terfloth and Kirk Arvidson. Their work appears in journals such as PLoS ONE, Chemical Research in Toxicology and Organic & Biomolecular Chemistry.

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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