A. Fiechter
- Molecular Biology top 2%
- Biomedical Engineering top 2%
- Pollution top 0.5%
- Plant Science top 2%
- Biotechnology top 0.5%
- Co-authors
- Othmar KäppeliJakob ReiserUrs A. OchsnerB. SonnleitnerMatti LeisolaAndreas KochGünter Fred FuhrmannTh. Egli
- Topics
- Microbial Metabolic Engineering and Bioproduction (41 papers)Enzyme-mediated dye degradation (22 papers)Fungal and yeast genetics research (19 papers)
- Partner nations
- SwitzerlandUnited StatesIndia
In The Last Decade
A. Fiechter
130 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 155
- Molecular Biology 3.5k
- Biomedical Engineering 1.5k
- Pollution 1.4k
- Plant Science 1.2k
- Biotechnology 867
Countries citing papers authored by A. Fiechter
This map shows the geographic impact of A. Fiechter'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 A. Fiechter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Fiechter more than expected).
Fields of papers citing papers by A. Fiechter
This network shows the impact of papers produced by A. Fiechter. 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 A. Fiechter. The network helps show where A. Fiechter may publish in the future.
Co-authorship network of co-authors of A. Fiechter
This figure shows the co-authorship network connecting the top 25 collaborators of A. Fiechter. A scholar is included among the top collaborators of A. Fiechter 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 A. Fiechter. A. Fiechter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 134 | |
| 6 | 260 | |
| 7 | 87 | |
| 8 | 87 | |
| 9 | Oxygen transfer in a loop reactor for viscous non-Newtonian biosystems | 2 |
| 10 | 11 | |
| 11 | 12 | |
| 12 | 20 | |
| 13 | Limit to Cell Mass Production in Continuous Culture of Methylomonas chara : Growth of Methylomonas clara (I) | 3 |
| 14 | Modling with Product and Substrate Inhibition, and Stability Analysis for Growth of Methylomkonas clara : Growth of Methylomonas clara (II) | 5 |
| 15 | 13 | |
| 16 | 15 | |
| 17 | 298 | |
| 18 | 113 | |
| 19 | 8 | |
| 20 | [Nutritional requirements and fermentative capacity of the culture wine yeast Polymorphus II]. | 3 |
About A. Fiechter
A. Fiechter is a scholar working on Biotechnology, Pollution and Molecular Biology, having authored 132 papers that have together received 5.9k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (41 papers), Enzyme-mediated dye degradation (22 papers) and Fungal and yeast genetics research (19 papers). The work is most often cited by research in Pollution (1.4k citations), Biotechnology (867 citations) and Molecular Biology (3.5k citations). A. Fiechter has collaborated with scholars based in Switzerland, United States and India. Frequent co-authors include Othmar Käppeli, Jakob Reiser, Urs A. Ochsner, B. Sonnleitner, Matti Leisola, Andreas Koch, Günter Fred Fuhrmann, Th. Egli, Dominique Sanglard and O. K�ppeli. Their work appears in journals such as Journal of Biological Chemistry, Applied and Environmental Microbiology and Genetics.
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.