Ágnes Molnár

3.5k citations
76 papers · 2.0k · h-index 26

Impact in

Papers in

Ágnes Molnár

73 papers receiving 1.9k citations

Peers

Ágnes Molnár
Comparison fields: 5 of 155
  • Atmospheric Science 1.1k
  • Health, Toxicology and Mutagenesis 762
  • Global and Planetary Change 556
  • Environmental Engineering 224
  • Health 115
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W. Ryan Diver United States
Doug Brugge United States
Sophie Gumy Switzerland
Lara A. Gundel United States
John L. Pearce United States
Joel Schwartz United States
Tingting Ye China
Guoxing Li China
Sylvie Gravel Canada
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Citations per field
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Citations per year

Countries citing papers authored by Ágnes Molnár

Since Specialization
Citations

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

Fields of papers citing papers by Ágnes Molnár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999395
2 2001173
3 2015104
4 199969
5 200267
6 201366
7 199760
8 201656
9 201653
10 200050
11 201850
12 201348
13 200145
14 200041
15 199641
16 199740
17 200438
18 200637
19 201637
20 201535

About Ágnes Molnár

Ágnes Molnár is a scholar working on Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis, Environmental Engineering and General Health Professions, having authored 76 papers that have together received 2.0k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (29 papers), Air Quality and Health Impacts (13 papers), Air Quality Monitoring and Forecasting (12 papers), Atmospheric aerosols and clouds (11 papers), Atmospheric Ozone and Climate (8 papers), Atmospheric and Environmental Gas Dynamics (6 papers), Radioactivity and Radon Measurements (6 papers) and Neurological Disorders and Treatments (6 papers). The work is most often cited by research in Atmospheric Science (1.1k citations), Health, Toxicology and Mutagenesis (762 citations), Global and Planetary Change (556 citations), Environmental Engineering (224 citations) and Health (115 citations). Ágnes Molnár has collaborated with scholars based in Hungary, Canada and United Kingdom. Frequent co-authors include E. Mészáros, Z. Krivácsy, András Gelencsér, Gyula Kiss, Patricia O’Campo, Gy. Kiss, Émilie Renahy, Ketan Shankardass, K. Rosman and Yngve Zebühr. Their work appears in journals such as Atmospheric Environment, Journal of Aerosol Science, Atmospheric Research, Journal of Atmospheric Chemistry and European Journal of Public 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.

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