Mona Connolly

865 citations
22 papers · 601 · h-index 14

Impact in

Papers in

Mona Connolly

22 papers receiving 589 citations

Peers

Mona Connolly
Comparison fields: 5 of 103
  • Health, Toxicology and Mutagenesis 175
  • Pollution 127
  • Materials Chemistry 359
  • Biomaterials 65
  • Electrochemistry 25
Replace James D. Ede with:
James D. Ede United States
Tobias Lammel Sweden
Min‐Kyeong Yeo South Korea
Zengtian Sun China
Danfeng Yang China
Silke Treumann Germany
Thabitha P. Dasari United States
Atif Yaqub Pakistan
Yu-Ri Kim South Korea
Subhrangsu Sundar Maitra India
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Citations per field
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Citations per year

Countries citing papers authored by Mona Connolly

Since Specialization
Citations

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

Fields of papers citing papers by Mona Connolly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201695
2 201388
3 201559
4 201257
5 201155
6 201454
7 201936
8 201728
9 201519
10 202219
11 201916
12 202216
13 202213
14 201613
15 20157
16 20227
17 20214
18 20224
19 20244
20 20133

About Mona Connolly

Mona Connolly is a scholar working on Materials Chemistry, Health, Toxicology and Mutagenesis, Pollution, Electrochemistry and Biomedical Engineering, having authored 22 papers that have together received 601 indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (15 papers), Heavy Metal Exposure and Toxicity (6 papers), Microplastics and Plastic Pollution (6 papers), Graphene and Nanomaterials Applications (4 papers), Electrochemical Analysis and Applications (4 papers), Environmental Toxicology and Ecotoxicology (3 papers), Mercury impact and mitigation studies (3 papers) and Advanced Nanomaterials in Catalysis (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (175 citations), Pollution (127 citations), Materials Chemistry (359 citations), Biomaterials (65 citations) and Electrochemistry (25 citations). Mona Connolly has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include María Luisa Fernández‐Cruz, José M. Navas, Estefanía Conde, Marta Fernández, Ursula Fearon, Douglas J. Veale, Fernando Torrent, Michael Schuster, Lingxiangyu Li and Lan Song. Their work appears in journals such as Chemosphere, The Science of The Total Environment, Environmental Toxicology and Chemistry, Nanotoxicology and Environmental Sciences Europe.

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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