A. Fiechter

7.6k citations
132 papers · 5.9k indexed · h-index 38

A. Fiechter

130 papers receiving 5.4k citations

Peers

A. Fiechter
Comparison fields: 5 of 155
  • Pollution 1.4k
  • Biotechnology 867
  • Molecular Biology 3.5k
  • Biomedical Engineering 1.5k
  • Plant Science 1.2k
Replace J.A.M. de Bont with:
J.A.M. de Bont Netherlands
J A de Bont Netherlands
A. H. Stouthamer Netherlands
Eduardo Dı́az Spain
B. Poolman Netherlands
Κει Arima Japan
Ana Segura Spain
Wim Soetaert Belgium
L. Nicholas Ornston United States
Abu Bakar Salleh Malaysia
A. Fiechter relative to J.A.M. de Bont Netherlands J.A.M. de Bont's profile →
Citations per field
00.5×1.5×
J.A.M. de Bont · 1×
Citations per year

Countries citing papers authored by A. Fiechter

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside A. Fiechter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Fiechter Line = papers co-authored together A. Fiechter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20249
2 20077
3 20003
4 199610
5 1994134
6 1992260
7 199287
8 199087
9
Oxygen transfer in a loop reactor for viscous non-Newtonian biosystems
19832
10 198311
11 198312
12 198320
13
Limit to Cell Mass Production in Continuous Culture of Methylomonas chara : Growth of Methylomonas clara (I)
19823
14
Modling with Product and Substrate Inhibition, and Stability Analysis for Growth of Methylomkonas clara : Growth of Methylomonas clara (II)
19825
15 198213
16 198215
17 1981298
18 1980113
19 19628
20
[Nutritional requirements and fermentative capacity of the culture wine yeast Polymorphus II].
19533

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), Fungal and yeast genetics research (19 papers), Biofuel production and bioconversion (18 papers), Fermentation and Sensory Analysis (16 papers), Microbial bioremediation and biosurfactants (13 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers) and Fungal Biology and Applications (10 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.

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