Gerd Gellissen
- Molecular Biology top 5%
- Biomedical Engineering top 5%
- Genetics top 5%
- Biotechnology top 1%
- Plant Science top 10%
- Co-authors
- Cornelis P. HollenbergGotthard KunzeP.K. FlookC. H. F. RowellG.R. WyattHans EmmerichGerhard SteinbornErik Böer
- Topics
- Fungal and yeast genetics research (40 papers)Biofuel production and bioconversion (22 papers)Microbial Metabolic Engineering and Bioproduction (20 papers)
- Partner nations
- GermanySwitzerlandCanada
In The Last Decade
Gerd Gellissen
85 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 2.3k
- Biomedical Engineering 707
- Genetics 473
- Biotechnology 407
- Plant Science 355
Countries citing papers authored by Gerd Gellissen
This map shows the geographic impact of Gerd Gellissen'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 Gellissen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerd Gellissen more than expected).
Fields of papers citing papers by Gerd Gellissen
This network shows the impact of papers produced by Gerd Gellissen. 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 Gellissen. The network helps show where Gerd Gellissen may publish in the future.
Co-authorship network of co-authors of Gerd Gellissen
This figure shows the co-authorship network connecting the top 25 collaborators of Gerd Gellissen. A scholar is included among the top collaborators of Gerd Gellissen 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 Gellissen. Gerd Gellissen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 26 | |
| 3 | 41 | |
| 4 | 17 | |
| 5 | 31 | |
| 6 | Fabrication of a Partial Genome Microarray of the Methylotrophic Yeast Hansenula polymorpha: Optimization and Evaluation of Transcript Profiling | 13 |
| 7 | 40 | |
| 8 | 31 | |
| 9 | 32 | |
| 10 | 29 | |
| 11 | 49 | |
| 12 | 9 | |
| 13 | 39 | |
| 14 | 12 | |
| 15 | 161 | |
| 16 | 218 | |
| 17 | 25 | |
| 18 | 72 | |
| 19 | 21 | |
| 20 | Protein production and the moulting cycle in the crayfish Astacus leptodactylus. I: Stage-specificity of polypeptide patterns in the hypodermis and hepatopancreas | 9 |
About Gerd Gellissen
Gerd Gellissen is a scholar working on Molecular Biology, Biotechnology and Cellular and Molecular Neuroscience, having authored 85 papers that have together received 3.2k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (40 papers), Biofuel production and bioconversion (22 papers) and Microbial Metabolic Engineering and Bioproduction (20 papers). The work is most often cited by research in Biotechnology (407 citations), Molecular Biology (2.3k citations) and Insect Science (234 citations). Gerd Gellissen has collaborated with scholars based in Germany, Switzerland and Canada. Frequent co-authors include Cornelis P. Hollenberg, Gotthard Kunze, P.K. Flook, C. H. F. Rowell, G.R. Wyatt, Hans Emmerich, Gerhard Steinborn, Erik Böer, Thomas Wartmann and Zbigniew A. Janowicz. Their work appears in journals such as Nature, Nature Biotechnology and Applied and Environmental Microbiology.
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.