Gesine Witt

1.8k total citations
42 papers, 1.5k citations indexed

About

Gesine Witt is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Oceanography. According to data from OpenAlex, Gesine Witt has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Health, Toxicology and Mutagenesis, 26 papers in Pollution and 6 papers in Oceanography. Recurrent topics in Gesine Witt's work include Toxic Organic Pollutants Impact (30 papers), Heavy metals in environment (9 papers) and Environmental Toxicology and Ecotoxicology (9 papers). Gesine Witt is often cited by papers focused on Toxic Organic Pollutants Impact (30 papers), Heavy metals in environment (9 papers) and Environmental Toxicology and Ecotoxicology (9 papers). Gesine Witt collaborates with scholars based in Germany, Denmark and United Kingdom. Gesine Witt's co-authors include Philipp Mayer, Thomas Leipe, Beate I. Escher, Kay‐Christian Emeis, Thomas F. Parkerton, Detlef E. Schulz‐Bull, Foppe Smedes, Steven B. Hawthorne, Jing You and Sabine Schäfer and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Gesine Witt

41 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gesine Witt Germany 20 1.1k 782 199 174 160 42 1.5k
Ioannis Hatzianestis Greece 22 811 0.8× 743 1.0× 239 1.2× 188 1.1× 183 1.1× 55 1.5k
Antonio Cobelo-Garcı́a Spain 25 892 0.8× 1.3k 1.6× 199 1.0× 179 1.0× 186 1.2× 80 2.0k
Jean‐Louis Gonzalez France 18 547 0.5× 611 0.8× 172 0.9× 204 1.2× 133 0.8× 40 1.1k
Alireza Riyahi Bakhtiari Iran 24 1.2k 1.1× 713 0.9× 92 0.5× 221 1.3× 87 0.5× 67 1.5k
Rossano Piazza Italy 24 1.1k 1.0× 568 0.7× 113 0.6× 130 0.7× 171 1.1× 89 1.7k
Larissa Dsikowitzky Germany 24 633 0.6× 815 1.0× 88 0.4× 236 1.4× 137 0.9× 42 1.4k
Kristoffer Næs Norway 24 1.2k 1.1× 760 1.0× 212 1.1× 171 1.0× 183 1.1× 46 1.6k
Terry I. Brinton United States 9 656 0.6× 554 0.7× 214 1.1× 143 0.8× 191 1.2× 14 1.4k
Parthasarathi Chakraborty India 27 943 0.9× 1.2k 1.5× 164 0.8× 273 1.6× 245 1.5× 69 1.8k
Eliete Zanardi‐Lamardo Brazil 20 573 0.5× 575 0.7× 335 1.7× 241 1.4× 130 0.8× 60 1.2k

Countries citing papers authored by Gesine Witt

Since Specialization
Citations

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

Fields of papers citing papers by Gesine Witt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gesine Witt

This figure shows the co-authorship network connecting the top 25 collaborators of Gesine Witt. A scholar is included among the top collaborators of Gesine Witt 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 Gesine Witt. Gesine Witt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Barbir, Jelena, Elisabetta Arato, C. Chen, et al.. (2023). Assessing ecotoxicity of an innovative bio-based mulch film: a multi-environmental and multi-bioassay approach. Frontiers in Environmental Science. 11. 9 indexed citations
2.
Heise, Susanne, et al.. (2022). Passive dosing: Assessing the toxicity of individual PAHs and recreated mixtures to the microalgae Raphidocelis subcapitata. Aquatic Toxicology. 249. 106220–106220. 9 indexed citations
4.
Zimmermann, Tristan, et al.. (2022). Assessing the chemical anthropocene – Development of the legacy pollution fingerprint in the North Sea during the last century. Environmental Pollution. 302. 119040–119040. 18 indexed citations
5.
Witt, Gesine, et al.. (2022). Equilibrium passive sampling: A novel approach to determine internal tissue concentrations of hydrophobic organic compounds in biota. The Science of The Total Environment. 824. 153764–153764. 4 indexed citations
6.
Witt, Gesine, et al.. (2021). Uptake and absorption of fluoranthene from spiked microplastics into the digestive gland tissues of blue mussels, Mytilus edulis L.. Chemosphere. 279. 130480–130480. 27 indexed citations
7.
Hollert, Henner, et al.. (2018). Miniaturised Marine Algae Test with Polycyclic Aromatic Hydrocarbons − Comparing Equilibrium Passive Dosing and Nominal Spiking. Aquatic Toxicology. 198. 190–197. 21 indexed citations
8.
Witt, Gesine, et al.. (2018). Bioavailability and distribution of PAHs and PCBs in the sediment pore water of the German Bight and Wadden Sea. Marine Pollution Bulletin. 138. 421–427. 20 indexed citations
9.
Schäfer, Sabine, et al.. (2018). Equilibrium sampling of HOCs in sediments and suspended particulate matter of the Elbe River. Environmental Sciences Europe. 30(1). 28–28. 13 indexed citations
10.
Hilber, Isabel, et al.. (2018). Comparison of freely dissolved concentrations of PAHs in contaminated pot soils under saturated and unsaturated water conditions. The Science of The Total Environment. 644. 835–843. 10 indexed citations
11.
Mayer, Philipp, et al.. (2017). Assessing PCB pollution in the Baltic Sea - An equilibrium partitioning based study. Chemosphere. 191. 886–894. 12 indexed citations
12.
Jahnke, Annika, et al.. (2016). Combining Passive Sampling with Toxicological Characterization of Complex Mixtures of Pollutants from the Aquatic Environment. Advances in biochemical engineering, biotechnology. 157. 225–261. 12 indexed citations
13.
Hursthouse, Andrew, et al.. (2015). Equilibrium passive sampling as a tool to study polycyclic aromatic hydrocarbons in Baltic Sea sediment pore-water systems. Marine Pollution Bulletin. 101(1). 296–303. 55 indexed citations
14.
Witt, Gesine, et al.. (2015). Comparison of passive and standard dosing of polycyclic aromatic hydrocarbons to the marine algae Phaeodactylum tricornutum. 1 indexed citations
15.
Mayer, Philipp, Thomas F. Parkerton, Rachel G. Adams, et al.. (2013). Passive sampling methods for contaminated sediments: Scientific rationale supporting use of freely dissolved concentrations. Integrated Environmental Assessment and Management. 10(2). 197–209. 157 indexed citations
17.
Zettler, Michael L., et al.. (2005). The ocean quahog Arctica islandica L.: a bioindicator for contaminated sediments. Marine Biology. 147(3). 671–679. 19 indexed citations
18.
Leipe, Thomas, Michael Kersten, Susanne Heise, et al.. (2004). Ecotoxicity assessment of natural attenuation effects at a historical dumping site in the western Baltic Sea. Marine Pollution Bulletin. 50(4). 446–459. 40 indexed citations
19.
Witt, Gesine & Wolfgang Matthäus. (2001). The impact of salt water inflows on the distribution of polycyclic aromatic hydrocarbons in the deep water of the Baltic Sea. Marine Chemistry. 74(4). 279–301. 20 indexed citations
20.
Witt, Gesine, Thomas Leipe, & Kay‐Christian Emeis. (2001). Using Fluffy Layer Material To Study the Fate of Particle-Bound Organic Pollutants in the Southern Baltic Sea. Environmental Science & Technology. 35(8). 1567–1573. 38 indexed citations

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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