Monika Nendza

1.8k citations
47 papers · 1.4k indexed · h-index 19
Topics
Computational Drug Discovery Methods (21 papers)Environmental Toxicology and Ecotoxicology (17 papers)Animal testing and alternatives (8 papers)
Partner nations
GermanySwitzerlandItaly

In The Last Decade

Monika Nendza

47 papers receiving 1.3k citations

Peers

Monika Nendza
Comparison fields: 5 of 114
  • Health, Toxicology and Mutagenesis 696
  • Pollution 411
  • Computational Theory and Mathematics 360
  • Molecular Biology 199
  • Spectroscopy 198
Replace Steven J. Broderius with:
Steven J. Broderius United States
Hans Könemann Netherlands
Jack de Bruijn Netherlands
Eñaut Urrestarazu Ramos Netherlands
Mike Comber United Kingdom
F Busser Netherlands
Theo L. Sinnige Netherlands
J.W. Deneer Netherlands
Emiel Rorije Netherlands
Xianhai Yang China
Monika Nendza relative to Steven J. Broderius United States Steven J. Broderius's profile →
Citations per field
00.5×4.7×
Steven J. Broderius · 1×
Citations per year

Countries citing papers authored by Monika Nendza

Since Specialization
Citations

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

Fields of papers citing papers by Monika Nendza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika Nendza

This figure shows the co-authorship network connecting the top 25 collaborators of Monika Nendza. A scholar is included among the top collaborators of Monika Nendza 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 Monika Nendza. Monika Nendza 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
#WorkIndexed citations
1 5
2 1
3 3
4 2
5 5
6 23
7 19
8 20
9 15
10 12
11 26
12 59
13 44
14 87
15 15
16 148
17 15
18 16
19 17
20 7

About Monika Nendza

Monika Nendza is a scholar working on Health, Toxicology and Mutagenesis, Chemical Health and Safety and Computational Theory and Mathematics, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Environmental Toxicology and Ecotoxicology (17 papers) and Animal testing and alternatives (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (696 citations), Pollution (411 citations) and Computational Theory and Mathematics (360 citations). Monika Nendza has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Gerrit Schüürmann, Rolf Altenburger, Martin Müller, Andrea Wenzel, Christine L. Russom, Andreas Gies, Carola Kussatz, Joachim K. Seydel, Sebastian Strempel and Anna Lombardo. Their work appears in journals such as The Science of The Total Environment, Chemosphere and Environment International.

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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