Ewa Cukrowska

4.8k citations
139 papers · 3.9k · h-index 33

Impact in

Papers in

Ewa Cukrowska

136 papers receiving 3.7k citations

Peers

Ewa Cukrowska
Comparison fields: 5 of 153
  • Analytical Chemistry 870
  • Pollution 847
  • Water Science and Technology 711
  • Health, Toxicology and Mutagenesis 697
  • Industrial and Manufacturing Engineering 401
Replace Manuela Hidalgo with:
Manuela Hidalgo Spain
Radmila Milačić Slovenia
Mery Malandrino Italy
George A. Zachariadis Greece
Ismail M.M. Rahman Japan
Manuel Valiente Spain
Antonije Onjia Serbia
Ornella Abollino Italy
E. Barrado Spain
Xin Hu China
Ewa Cukrowska relative to Manuela Hidalgo Spain Manuela Hidalgo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ewa Cukrowska

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Cukrowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003228
2
Adsorption and Migration of Heavy Metals in Soil
2001224
3 2008207
4 2008150
5 2011125
6 2014117
7 2016109
8 2013104
9 201783
10 201479
11 201670
12 201469
13 201268
14 201464
15 201757
16 201154
17 201452
18 199550
19 201949
20 202248

About Ewa Cukrowska

Ewa Cukrowska is a scholar working on Analytical Chemistry, Health, Toxicology and Mutagenesis, Pollution, Water Science and Technology and Inorganic Chemistry, having authored 139 papers that have together received 3.9k indexed citations. Recurring topics across this work include Analytical chemistry methods development (48 papers), Radioactive element chemistry and processing (22 papers), Adsorption and biosorption for pollutant removal (20 papers), Heavy metals in environment (20 papers), Extraction and Separation Processes (18 papers), Electrochemical Analysis and Applications (15 papers), Mercury impact and mitigation studies (12 papers) and Toxic Organic Pollutants Impact (12 papers). The work is most often cited by research in Analytical Chemistry (870 citations), Pollution (847 citations), Water Science and Technology (711 citations), Health, Toxicology and Mutagenesis (697 citations) and Industrial and Manufacturing Engineering (401 citations). Ewa Cukrowska has collaborated with scholars based in South Africa, Poland and France. Frequent co-authors include Luke Chimuka, Hlanganani Tutu, T.S. McCarthy, Tomasz Kowalkowski, Kriveshini Pillay, Neil J. Coville, Bogusław Buszewski, Nikita Tawanda Tavengwa, Vusumzi Emmanuel Pakade and Dalia Saad. Their work appears in journals such as Journal of Separation Science, Analytica Chimica Acta, Water SA, Chemosphere and South African Journal of 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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