Nina Cedergreen

8.5k citations
118 papers · 5.6k indexed · 1 hit paper · h-index 43

Nina Cedergreen

117 papers receiving 5.4k citations

Hit Papers

Quantifying Synergy: A Systematic Review of Mixture Toxic...6272014202620182022200400600

Peers

Nina Cedergreen
Comparison fields: 5 of 138
  • Pollution 2.4k
  • Health, Toxicology and Mutagenesis 2.2k
  • Environmental Chemistry 684
  • Insect Science 680
  • Plant Science 1.9k
Replace Ronald S. Tjeerdema with:
Ronald S. Tjeerdema United States
Benjamı́n Piña Spain
Marco Vighi Italy
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José Tarazona Spain
Michael J. Lydy United States
Rolf Altenburger Germany
Jesús Olivero‐Verbel Colombia
Aditi Shreeya Bali India
Gagan Preet Singh Sidhu India
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Citations per field
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Ronald S. Tjeerdema · 1×
Citations per year

Countries citing papers authored by Nina Cedergreen

Since Specialization
Citations

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

Fields of papers citing papers by Nina Cedergreen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202137
2 20213
3 202032
4 202013
5 201921
6 201819
7 201826
8 201742
9 201740
10 201715
11 201612
12 201525
13 201538
14 201185
15 201118
16 201136
17 201032
18 200757
19 200467
20 200355

About Nina Cedergreen

Nina Cedergreen is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Aging, having authored 118 papers that have together received 5.6k indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (53 papers), Pesticide and Herbicide Environmental Studies (48 papers), Pharmaceutical and Antibiotic Environmental Impacts (21 papers), Weed Control and Herbicide Applications (20 papers), Pesticide Exposure and Toxicity (15 papers), Pesticide Residue Analysis and Safety (11 papers), Insect and Pesticide Research (10 papers) and Allelopathy and phytotoxic interactions (8 papers). The work is most often cited by research in Pollution (2.4k citations), Health, Toxicology and Mutagenesis (2.2k citations) and Environmental Chemistry (684 citations). Nina Cedergreen has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include J. C. Streibig, Tom Vindbæk Madsen, Helle Sørensen, Solvejg K. Mathiassen, Per Kudsk, Regina G. Belz, Christian Ritz, Stephen O. Duke, Andreas Kretschmann and Kristoffer Dalhoff. Their work appears in journals such as Environmental Toxicology and Chemistry, Aquatic Toxicology, Environmental Science & Technology, Ecotoxicology and Pest Management Science.

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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