Eva Annweiler

1.6k citations
18 papers · 1.4k · h-index 13

Impact in

Papers in

Eva Annweiler

18 papers receiving 1.3k citations

Peers

Eva Annweiler
Comparison fields: 5 of 81
  • Pollution 930
  • Health, Toxicology and Mutagenesis 471
  • Environmental Chemistry 191
  • Environmental Engineering 225
  • Geochemistry and Petrology 83
Replace Barbara Morasch with:
Barbara Morasch Germany
Anko Fischer Germany
Craig D. Phelps United States
E. Michael Godsy United States
Daniel Hunkeler Switzerland
Kathleen M. Semple Canada
Ingeborg D. Bossert United States
Mark R. Harkness United States
Donald F. Goerlitz United States
Elizabeth A. Guthrie United States
Eva Annweiler relative to Barbara Morasch Germany Barbara Morasch's profile →
Citations per field
00.5×1.5×
Barbara Morasch · 1×
Citations per year

Countries citing papers authored by Eva Annweiler

Since Specialization
Citations

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

Fields of papers citing papers by Eva Annweiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2000216
2 2000189
3 1999142
4 2000140
5 2003138
6 2002134
7 201567
8 200063
9 200158
10 200355
11 200252
12 200147
13 199944
14 199911
15 19996
16 19995
17
13C/ 12 C STABLE ISOTOPE FRACTIONATION OF TOLUENE BY ANAEROBIC DEGRADATION A New Method to Monitor Biological Degradation in Situ?
19992
18 20011

About Eva Annweiler

Eva Annweiler is a scholar working on Pollution, Health, Toxicology and Mutagenesis, Environmental Engineering, Ecology and Ocean Engineering, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (15 papers), Toxic Organic Pollutants Impact (9 papers), Wastewater Treatment and Nitrogen Removal (4 papers), Microbial Community Ecology and Physiology (3 papers), Isotope Analysis in Ecology (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Groundwater flow and contamination studies (2 papers). The work is most often cited by research in Pollution (930 citations), Health, Toxicology and Mutagenesis (471 citations), Environmental Chemistry (191 citations), Environmental Engineering (225 citations) and Geochemistry and Petrology (83 citations). Eva Annweiler has collaborated with scholars based in Germany and Russia. Frequent co-authors include Walter Michaelis, Rainer U. Meckenstock, Hans Hermann Richnow, Bernhard Schink, R. Warthmann, Wittko Francke, Barbara Morasch, Garo Antranikian, Stephan Franke and RICHARD M. SEIFERT. Their work appears in journals such as Applied and Environmental Microbiology, Environmental Science & Technology, Journal of Microbiological Methods, Environmental Pollution and Food Chemistry.

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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