David J. O’Connor

1.8k citations
49 papers · 1.1k · h-index 20

Impact in

Papers in

David J. O’Connor

48 papers receiving 1.0k citations

Peers

David J. O’Connor
Comparison fields: 5 of 104
  • Health, Toxicology and Mutagenesis 678
  • Immunology and Allergy 265
  • Process Chemistry and Technology 51
  • Environmental Engineering 247
  • Atmospheric Science 278
Replace Concepción De Linares with:
Concepción De Linares Spain
Agnieszka Strzelczak Poland
Santiago Fernández-Rodríguez Spain
Julie M. Corden United Kingdom
José María Maya‐Manzano Spain
László Makra Hungary
Anna T. Kunert Germany
Ann G. Miguel United States
Paola De Nuntiis Italy
Rebeca Izquierdo Spain
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Citations per field
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Concepción De Linares · 1×
Citations per year

Countries citing papers authored by David J. O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by David J. O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David J. O’Connor, 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 David J. O’Connor Line = papers co-authored together David J. O’Connor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017119
2 201471
3 201170
4 201363
5 201263
6 201452
7 201547
8 201247
9 200842
10 201532
11 201330
12 202229
13 202128
14 199927
15 201727
16 201522
17 202121
18 202221
19 201819
20 201919

About David J. O’Connor

David J. O’Connor is a scholar working on Health, Toxicology and Mutagenesis, Immunology and Allergy, Environmental Engineering, Atmospheric Science and Ecology, Evolution, Behavior and Systematics, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Indoor Air Quality and Microbial Exposure (31 papers), Air Quality and Health Impacts (21 papers), Allergic Rhinitis and Sensitization (18 papers), Air Quality Monitoring and Forecasting (13 papers), Atmospheric chemistry and aerosols (11 papers), Lichen and fungal ecology (7 papers), Infection Control and Ventilation (4 papers) and Plant Pathogens and Fungal Diseases (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (678 citations), Immunology and Allergy (265 citations), Process Chemistry and Technology (51 citations), Environmental Engineering (247 citations) and Atmospheric Science (278 citations). David J. O’Connor has collaborated with scholars based in Ireland, France and United Kingdom. Frequent co-authors include John R. Sodeau, David A. Healy, Michael B. Prentice, Stig Hellebust, Daniela Iacopino, E. McGillicuddy, Aoife M. Burke, Christopher Pöhlker, J. A. Huffman and Daniel O’Sullivan. Their work appears in journals such as Atmosphere, Aerobiologia, Atmospheric Environment, The Science of The Total Environment and Atmospheric chemistry and physics.

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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