Maria Rüther

1.0k total citations
20 papers, 625 citations indexed

About

Maria Rüther is a scholar working on Health, Toxicology and Mutagenesis, Artificial Intelligence and Pollution. According to data from OpenAlex, Maria Rüther has authored 20 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health, Toxicology and Mutagenesis, 4 papers in Artificial Intelligence and 2 papers in Pollution. Recurrent topics in Maria Rüther's work include Effects and risks of endocrine disrupting chemicals (7 papers), Semantic Web and Ontologies (4 papers) and Heavy Metal Exposure and Toxicity (2 papers). Maria Rüther is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (7 papers), Semantic Web and Ontologies (4 papers) and Heavy Metal Exposure and Toxicity (2 papers). Maria Rüther collaborates with scholars based in Germany, United Kingdom and British Virgin Islands. Maria Rüther's co-authors include Marike Kolossa‐Gehring, André Conrad, Thomas Brüning, Holger M. Koch, Petra Apel, Claudia Pälmke, Silvia Pieper, Christa Schröter‐Kermani, André Schütze and Monika Kasper-Sonnenberg and has published in prestigious journals such as Chemosphere, Environment International and International Journal of Hygiene and Environmental Health.

In The Last Decade

Maria Rüther

15 papers receiving 605 citations

Peers

Maria Rüther
Comparison fields: 5 of 88
  • Health, Toxicology and Mutagenesis 421
  • Pollution 250
  • Plant Science 132
  • Cancer Research 65
  • Environmental Chemistry 39
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Citations per field, relative to Maria Rüther
Maria Rüther · 1×
Citations per year, relative to Maria Rüther
Maria Rüther · 1×

Countries citing papers authored by Maria Rüther

Since Specialization
Citations

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

Fields of papers citing papers by Maria Rüther

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Rüther

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Rüther. A scholar is included among the top collaborators of Maria Rüther 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 Maria Rüther. Maria Rüther 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
# Work Indexed citations
1 42
2 30
3 62
4 8
5 52
6 17
7 1
8 162
9 189
10 44
11
A Common Tool for Managing Environmental Monitoring Data
0
12
Networking Activities of Environmental Specimen Banks
1
13
Linked Environment Data.
3
14
The German Environmental Specimen Bank: Discovering Data and Information on the Web.
1
15
Linked Environment Data: SCOVO-fying the Environment Specimen Bank
1
16
Applications of Environmental Semantics.
1
17
Sharing Environmental Vocabulary
0
18
Semantic Network Services (SNS)
2
19 7
20
The German Environmental Information Network (GEIN)
2

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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