Rainer Winnenburg
- Molecular Biology
- Plant Science top 10%
- Computational Theory and Mathematics top 2%
- Cell Biology top 10%
- Pharmacology top 5%
- Co-authors
- Olivier BodenreiderNigam H. ShahMichael SchroederChris RawlingsK. E. Hammond‐KosackMartin UrbanThomas K. BaldwinConrad Plake
- Topics
- Biomedical Text Mining and Ontologies (22 papers)Computational Drug Discovery Methods (11 papers)Bioinformatics and Genomic Networks (8 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Rainer Winnenburg
36 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 143
- Molecular Biology 681
- Plant Science 308
- Computational Theory and Mathematics 218
- Cell Biology 177
- Pharmacology 134
Countries citing papers authored by Rainer Winnenburg
This map shows the geographic impact of Rainer Winnenburg'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 Rainer Winnenburg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rainer Winnenburg more than expected).
Fields of papers citing papers by Rainer Winnenburg
This network shows the impact of papers produced by Rainer Winnenburg. 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 Rainer Winnenburg. The network helps show where Rainer Winnenburg may publish in the future.
Co-authorship network of co-authors of Rainer Winnenburg
This figure shows the co-authorship network connecting the top 25 collaborators of Rainer Winnenburg. A scholar is included among the top collaborators of Rainer Winnenburg 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 Rainer Winnenburg. Rainer Winnenburg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 90 | |
| 2 | 98 | |
| 3 | 7 | |
| 4 | 28 | |
| 5 | 9 | |
| 6 | 39 | |
| 7 | 29 | |
| 8 | 18 | |
| 9 | 1 | |
| 10 | Creating, Maintaining and Publishing Value Sets in the VSAC. | 2 |
| 11 | 13 | |
| 12 | 33 | |
| 13 | 212 | |
| 14 | 11 | |
| 15 | 28 | |
| 16 | 34 | |
| 17 | 61 | |
| 18 | Mutation tagging with gene identifiers applied to membrane protein stability prediction. | 2 |
| 19 | 131 | |
| 20 | 240 |
About Rainer Winnenburg
Rainer Winnenburg is a scholar working on Toxicology, Health Information Management and Computational Theory and Mathematics, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (22 papers), Computational Drug Discovery Methods (11 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Toxicology (120 citations), Pharmacology (134 citations) and Computational Theory and Mathematics (218 citations). Rainer Winnenburg has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Olivier Bodenreider, Nigam H. Shah, Michael Schroeder, Chris Rawlings, K. E. Hammond‐Kosack, Martin Urban, Thomas K. Baldwin, Conrad Plake, Christian Senger and Stefan Günther. Their work appears in journals such as Nucleic Acids Research, Scientific Reports 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.