Ute Feiler

1.0k citations
33 papers · 852 · h-index 19

Impact in

Papers in

Ute Feiler

32 papers receiving 817 citations

Peers

Ute Feiler
Comparison fields: 5 of 79
  • Health, Toxicology and Mutagenesis 303
  • Pollution 246
  • Renewable Energy, Sustainability and the Environment 149
  • Cellular and Molecular Neuroscience 112
  • Molecular Biology 418
Replace Frauke Baymann with:
Frauke Baymann France
Ivan Šetlík Czechia
Aline Gómez Maqueo Chew United States
Teruo Matsubara Japan
Alevtyna Yakushevska Netherlands
Justin P. Ridge United Kingdom
Nasser Gad’on Germany
J.J.S. van Rensen Netherlands
Kiyoshi Sugahara Japan
Nikos Lydakis-Simantiris Greece
Ute Feiler relative to Frauke Baymann France Frauke Baymann's profile →
Citations per field
00.5×2.9×
Frauke Baymann · 1×
Citations per year

Countries citing papers authored by Ute Feiler

Since Specialization
Citations

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

Fields of papers citing papers by Ute Feiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ute Feiler, 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 Ute Feiler Line = papers co-authored together Ute Feiler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199090
2 201077
3 199068
4 199257
5 201253
6 198747
7 199436
8 200735
9 200435
10 200535
11 199631
12 201031
13 200831
14 202030
15 201526
16 199425
17 201024
18 199522
19 199421
20 201913

About Ute Feiler

Ute Feiler is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Pollution, Renewable Energy, Sustainability and the Environment and Atomic and Molecular Physics, and Optics, having authored 33 papers that have together received 852 indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (15 papers), Photosynthetic Processes and Mechanisms (12 papers), Pesticide and Herbicide Environmental Studies (7 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Heavy metals in environment (5 papers), Photoreceptor and optogenetics research (4 papers), Algal biology and biofuel production (3 papers) and Metalloenzymes and iron-sulfur proteins (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (303 citations), Pollution (246 citations), Renewable Energy, Sustainability and the Environment (149 citations), Cellular and Molecular Neuroscience (112 citations) and Molecular Biology (418 citations). Ute Feiler has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Wolfgang Nitschke, A. William Rutherford, Peter Heininger, Henner Hollert, Bruno Robert, Günter Hauska, Thomas‐Benjamin Seiler, Hartmut Michel, Tony A. Mattioli and Marc Lutz. Their work appears in journals such as Biochemistry, Journal of Soils and Sediments, Environmental Science and Pollution Research, Photosynthesis Research and Environmental Science & Technology.

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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