Dávid Molnár

41 papers receiving 434 citations

Peers

Dávid Molnár
Comparison fields: 5 of 113
  • Research and Theory 12
  • Immunology and Allergy 47
  • Neuropsychology and Physiological Psychology 9
  • Issues, ethics and legal aspects 6
  • Radiology, Nuclear Medicine and Imaging 98
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Smith United Kingdom
Xiaowei Zhang China
Caroline Mills United Kingdom
Takeshi Nishiyama Japan
Masashi Mikami Japan
Juliette Meunier France
Mi Youn Park South Korea
Jolanta Wysocka Poland
Ivo Šlapák Czechia
Giovanna Zanoni Italy
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Citations per year

Countries citing papers authored by Dávid Molnár

Since Specialization
Citations

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

Fields of papers citing papers by Dávid Molnár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201362
2 201149
3 202032
4
Nutritional survey of pregnant women in Hungary.
199730
5 201630
6 201522
7 201118
8 201117
9 201514
10 201413
11 201313
12 201113
13 201612
14 202111
15 201211
16 201411
17 20189
18 20218
19 20187
20 20167

About Dávid Molnár

Dávid Molnár is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health, Surgery and Cardiology and Cardiovascular Medicine, having authored 44 papers that have together received 456 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (9 papers), Lung Cancer Diagnosis and Treatment (6 papers), Medical Imaging Techniques and Applications (5 papers), Radiation Dose and Imaging (4 papers), Asthma and respiratory diseases (3 papers), Medical Education and Admissions (3 papers), Diversity and Career in Medicine (3 papers) and Cardiovascular Disease and Adiposity (3 papers). The work is most often cited by research in Research and Theory (12 citations), Immunology and Allergy (47 citations), Neuropsychology and Physiological Psychology (9 citations), Issues, ethics and legal aspects (6 citations) and Radiology, Nuclear Medicine and Imaging (98 citations). Dávid Molnár has collaborated with scholars based in Hungary, Sweden and United States. Frequent co-authors include Graham Shaw, Nándor Nagy, Åse A. Johnsson, Allan M. Goldstein, Ryo Hotta, Sarah Miller, Jenny Vikgren, John D. Mably, Magnus Båth and Angelica Svalkvist. Their work appears in journals such as Journal of the American Podiatric Medical Association, Scientific Reports, Academic Radiology, Radiation Protection Dosimetry and Acta Radiologica.

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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