Gerd M. Seibold

1.8k total citations
49 papers, 1.3k citations indexed

About

Gerd M. Seibold is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Gerd M. Seibold has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 25 papers in Biomedical Engineering and 9 papers in Genetics. Recurrent topics in Gerd M. Seibold's work include Microbial Metabolic Engineering and Bioproduction (37 papers), Biofuel production and bioconversion (22 papers) and Bacterial Genetics and Biotechnology (9 papers). Gerd M. Seibold is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (37 papers), Biofuel production and bioconversion (22 papers) and Bacterial Genetics and Biotechnology (9 papers). Gerd M. Seibold collaborates with scholars based in Germany, Denmark and Norway. Gerd M. Seibold's co-authors include Bernhard J. Eikmanns, Reinhard Krämer, Bastian Blombach, Volker F. Wendisch, Jörn Kalinowski, Steffen N. Lindner, Marc Auchter, Kay Marin, Tomoya Maeda and Jung-Won Youn and has published in prestigious journals such as Angewandte Chemie International Edition, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Gerd M. Seibold

49 papers receiving 1.3k citations

Peers

Gerd M. Seibold
Comparison fields: 5 of 95
  • Molecular Biology 1.1k
  • Biomedical Engineering 467
  • Food Science 192
  • Genetics 178
  • Materials Chemistry 171
Replace Xiulai Chen with:
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Xiulai Chen China View profile →
Citations per field, relative to Gerd M. Seibold
Gerd M. Seibold · 1×
Citations per year, relative to Gerd M. Seibold
Gerd M. Seibold · 1×

Countries citing papers authored by Gerd M. Seibold

Since Specialization
Citations

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

Fields of papers citing papers by Gerd M. Seibold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerd M. Seibold. 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 Gerd M. Seibold. The network helps show where Gerd M. Seibold may publish in the future.

Co-authorship network of co-authors of Gerd M. Seibold

This figure shows the co-authorship network connecting the top 25 collaborators of Gerd M. Seibold. A scholar is included among the top collaborators of Gerd M. Seibold 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 Gerd M. Seibold. Gerd M. Seibold 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 22
3 10
4 10
5 3
6 12
7 25
8 22
9 10
10 36
11 19
12
Transcription of *malP* is subject to PTS-dependent regulation in *Corynebacterium glutamicum*
1
13 95
14 46
15 62
16 71
17 92
18 39
19 99
20 64

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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