Rainer Winnenburg

1.9k total citations
36 papers, 1.3k citations indexed

About

Rainer Winnenburg is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Rainer Winnenburg has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 9 papers in Artificial Intelligence. Recurrent topics in Rainer Winnenburg's work include Biomedical Text Mining and Ontologies (22 papers), Computational Drug Discovery Methods (11 papers) and Bioinformatics and Genomic Networks (8 papers). Rainer Winnenburg is often cited by papers focused on Biomedical Text Mining and Ontologies (22 papers), Computational Drug Discovery Methods (11 papers) and Bioinformatics and Genomic Networks (8 papers). Rainer Winnenburg collaborates with scholars based in United States, Germany and United Kingdom. Rainer Winnenburg's 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 and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Rainer Winnenburg

36 papers receiving 1.3k citations

Peers

Rainer Winnenburg
Comparison fields: 5 of 143
  • Molecular Biology 681
  • Plant Science 308
  • Computational Theory and Mathematics 218
  • Cell Biology 177
  • Pharmacology 134
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Citations per field, relative to Rainer Winnenburg
Rainer Winnenburg · 1×
Citations per year, relative to Rainer Winnenburg
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Countries citing papers authored by Rainer Winnenburg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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