Cliona O’Neill

10 papers receiving 1.2k citations

Cliona O’Neill's Hit Papers

Colour in textile effluents - sources, measurement, discharge consents and simulation: a review 1999 · 725 citations
7250+9+18Years since publication200400600

Peers

Cliona O’Neill
Comparison fields: 5 of 86
  • Water Science and Technology 556
  • Biotechnology 227
  • Analytical Chemistry 245
  • Health, Toxicology and Mutagenesis 242
  • Plant Science 584
Replace D. Brown with:
D. Brown United Kingdom
M. Pourhassan Iran
K. Swaminathan India
Raquel O. Cristóvão Portugal
S. N. Kaul India
Roop Kishor India
Dina A. Yaseen Iraq
Ningjie Li China
Myrna Solís Mexico
Ravi Kumar Sonwani India
Cliona O’Neill relative to D. Brown United Kingdom D. Brown's profile →
Citations per field
00.5×
D. Brown · 1×
Citations per year

Countries citing papers authored by Cliona O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by Cliona O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cliona O’Neill. 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 Cliona O’Neill. The network helps show where Cliona O’Neill may publish in the future.

Co-authors

The 10 scholars most cited alongside Cliona O’Neill, 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 Cliona O’Neill Line = papers co-authored together Cliona O’Neill links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Colour in textile effluents - sources, measurement, discharge consents and simulation: a review
Hit paper breakdown →
1999725
2 2000262
3 1998213
4 199955
5 200310
6 199710
7 19988
8 19987
9
Artificial acid mine drainage for use in laboratory simulation studies
19955
10 20004

About Cliona O’Neill

Cliona O’Neill is a scholar working on Plant Science, Environmental Chemistry, Industrial and Manufacturing Engineering, Building and Construction and Analytical Chemistry, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (5 papers), Mine drainage and remediation techniques (3 papers), Dye analysis and toxicity (2 papers), Dyeing and Modifying Textile Fibers (2 papers), Constructed Wetlands for Wastewater Treatment (1 paper), Railway Systems and Materials Science (1 paper), Microplastics and Plastic Pollution (1 paper) and Advanced oxidation water treatment (1 paper). The work is most often cited by research in Water Science and Technology (556 citations), Biotechnology (227 citations), Analytical Chemistry (245 citations), Health, Toxicology and Mutagenesis (242 citations) and Plant Science (584 citations). Cliona O’Neill has collaborated with scholars based in United Kingdom, Portugal and Ireland. Frequent co-authors include Freda R. Hawkes, H.M. Pinheiro, D.L. Hawkes, Nídia D. Lourenço, S. J. Wilcox, Sandra Esteves, A. López, N. F. Gray, Gabriel Jacobs and Mike Williams. Their work appears in journals such as Journal of Chemical Technology & Biotechnology, Applied Microbiology and Biotechnology, European Business Review, Land Degradation and Development and Environmental Geochemistry and Health.

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.

Explore authors with similar magnitude of impact