Kai Bittermann

657 citations
11 papers · 547 · h-index 11

Impact in

    • Toxic Organic Pollutants Impact
    • Effects and risks of endocrine disrupting chemicals
    • Environmental Toxicology and Ecotoxicology
  • Pollution top 5%
    • Pharmaceutical and Antibiotic Environmental Impacts

Papers in

Kai Bittermann

11 papers receiving 543 citations

Peers

Kai Bittermann
Comparison fields: 5 of 86
  • Health, Toxicology and Mutagenesis 222
  • Pollution 148
  • Filtration and Separation 19
  • Environmental Chemistry 77
  • Computational Theory and Mathematics 89
Replace Simon Spycher with:
Simon Spycher Switzerland
Glendon D. Sinks United States
Aalt Musch Netherlands
Raghuraman Venkatapathy United States
F. T. Weiss Germany
P. Mäder Czechia
Liumeng Pan China
Stephen W. Morrall United States
Juan M. Ribo Canada
Fabian C. Fischer Germany
Kai Bittermann relative to Simon Spycher Switzerland Simon Spycher's profile →
Citations per field
00.5×1.7×
Simon Spycher · 1×
Citations per year

Countries citing papers authored by Kai Bittermann

Since Specialization
Citations

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

Fields of papers citing papers by Kai Bittermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Kai Bittermann, 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 Kai Bittermann Line = papers co-authored together Kai Bittermann links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2017111
2 201485
3 201772
4 201763
5 201561
6 202038
7 201832
8 201727
9 201721
10 201820
11 201817

About Kai Bittermann

Kai Bittermann is a scholar working on Health, Toxicology and Mutagenesis, Spectroscopy, Molecular Biology, Pollution and Computational Theory and Mathematics, having authored 11 papers that have together received 547 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Analytical Chemistry and Chromatography (3 papers), Electrochemical Analysis and Applications (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Toxic Organic Pollutants Impact (3 papers), Advanced Chemical Sensor Technologies (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Ionic liquids properties and applications (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (222 citations), Pollution (148 citations), Filtration and Separation (19 citations), Environmental Chemistry (77 citations) and Computational Theory and Mathematics (89 citations). Kai Bittermann has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Kai‐Uwe Goss, Beate I. Escher, Simon Spycher, Luise Henneberger, Lukas Linden, Nils Klüver, Maria König, Uwe Huniar, Andreas Klamt and Fabian C. Fischer. Their work appears in journals such as Environmental Science Processes & Impacts, Chemosphere, The Journal of Physical Chemistry B, Chemical Research in Toxicology and Aquatic Toxicology.

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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