Ferdinand Molnár
Impact in
-
- Vitamin D Research Studies
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Genomics and Chromatin Dynamics 28
- Epigenetics and DNA Methylation 26
- Protein Structure and Dynamics 6
- Peroxisome Proliferator-Activated Receptors 5
-
- Vitamin D Research Studies 15
- Co-authors
- Carsten Carlberg (95 shared papers)Mikael Peräkylä (5 shared papers)Miguel Angel Maestro (3 shared papers)Antonio Mouriño (4 shared papers)Christian Frank (2 shared papers)Lasse Sinkkonen (1 shared paper)Thomas W. Dunlop (1 shared paper)Sami Vaïsänen (1 shared paper)
- Journals
- Molecular Medicine (12 papers)Journal of Biological Chemistry (3 papers)Current Topics in Medicinal Chemistry (2 papers)Expert Opinion on Therapeutic Patents (2 papers)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- FinlandKazakhstanGermany
In The Last Decade
Ferdinand Molnár
105 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 99
- Pathology and Forensic Medicine 822
- Pharmacology 129
- Molecular Biology 407
- Oncology 112
- Computational Theory and Mathematics 58
Countries citing papers authored by Ferdinand Molnár
This map shows the geographic impact of Ferdinand 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 Ferdinand Molnár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferdinand Molnár more than expected).
Fields of papers citing papers by Ferdinand Molnár
This network shows the impact of papers produced by Ferdinand 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 Ferdinand Molnár. The network helps show where Ferdinand Molnár may publish in the future.
Co-authors
The 25 scholars most cited alongside Ferdinand Molnár, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 186 | |
| 2 | 2009 | 136 | |
| 3 | 2019 | 107 | |
| 4 | 2012 | 93 | |
| 5 | 2011 | 76 | |
| 6 | 2005 | 61 | |
| 7 | 2016 | 58 | |
| 8 | 2015 | 50 | |
| 9 | 2006 | 49 | |
| 10 | 2012 | 47 | |
| 11 | 2015 | 46 | |
| 12 | 2011 | 44 | |
| 13 | 2014 | 44 | |
| 14 | 2005 | 42 | |
| 15 | 2011 | 40 | |
| 16 | 2013 | 39 | |
| 17 | 2006 | 37 | |
| 18 | 2004 | 34 | |
| 19 | 2016 | 32 | |
| 20 | 2017 | 31 |
About Ferdinand Molnár
Ferdinand Molnár is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Immunology and Pharmacology, having authored 120 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (28 papers), Epigenetics and DNA Methylation (26 papers), Vitamin D Research Studies (15 papers), Nutrition, Genetics, and Disease (10 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Protein Structure and Dynamics (6 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (822 citations), Pharmacology (129 citations), Molecular Biology (407 citations), Oncology (112 citations) and Computational Theory and Mathematics (58 citations). Ferdinand Molnár has collaborated with scholars based in Finland, Kazakhstan and Germany. Frequent co-authors include Carsten Carlberg, Mikael Peräkylä, Miguel Angel Maestro, Antonio Mouriño, Christian Frank, Lasse Sinkkonen, Thomas W. Dunlop, Sami Vaïsänen, Natacha Rochel and Merja Heinäniemi. Their work appears in journals such as Molecular Medicine, Journal of Biological Chemistry, Current Topics in Medicinal Chemistry, Expert Opinion on Therapeutic Patents and Proteins Structure Function and Bioinformatics.
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.