Ralf Takors

6.5k total citations
181 papers, 4.9k citations indexed

About

Ralf Takors is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Ralf Takors has authored 181 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Molecular Biology, 68 papers in Biomedical Engineering and 21 papers in Genetics. Recurrent topics in Ralf Takors's work include Microbial Metabolic Engineering and Bioproduction (114 papers), Viral Infectious Diseases and Gene Expression in Insects (50 papers) and Biofuel production and bioconversion (39 papers). Ralf Takors is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (114 papers), Viral Infectious Diseases and Gene Expression in Insects (50 papers) and Biofuel production and bioconversion (39 papers). Ralf Takors collaborates with scholars based in Germany, Netherlands and United States. Ralf Takors's co-authors include Christian Wandrey, Marco Oldiges, Bastian Blombach, Arne Buchholz, Bing Luo, Dirk Weuster‐Botz, Attila Teleki, Wolfgang Wiechert, Julian Lange and U. W. Schaefer and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ralf Takors

170 papers receiving 4.8k citations

Peers

Ralf Takors
Comparison fields: 5 of 157
  • Molecular Biology 4.0k
  • Biomedical Engineering 1.6k
  • Spectroscopy 453
  • Genetics 431
  • Materials Chemistry 232
Replace Maciek R. Antoniewicz with:
Maciek R. Antoniewicz United States
Walter M. van Gulik Netherlands
Sven Panke Switzerland
Marco Oldiges Germany
Dirk Weuster‐Botz Germany
Christopher S. Henry United States
Christoph Herwig Austria
Ju Chu China
Kazuyuki Shimizu Japan
Edward E. K. Baidoo United States
Maciek R. Antoniewicz United States View profile →
Citations per field, relative to Ralf Takors
Ralf Takors · 1×
Citations per year, relative to Ralf Takors
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Countries citing papers authored by Ralf Takors

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Takors

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ralf Takors

This figure shows the co-authorship network connecting the top 25 collaborators of Ralf Takors. A scholar is included among the top collaborators of Ralf Takors 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 Ralf Takors. Ralf Takors 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 1
2 1
3 2
4 1
5 5
6 5
7 30
8 10
9 7
10 2
11 13
12 12
13 16
14 51
15 54
16 23
17 8
18
Fed-batch Process for Pyruvate Production by Recombinant Escherichia coli YYC202 strain
1
19
Distributed Simulation of Metabolic Networks with Model Variants
1
20 40

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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