J. Mandl
Impact in
- Nutrition and Dietetics top 5%
- Vitamin C and Antioxidants Research
- Vitamin K Research Studies
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
Papers in
-
- Polyamine Metabolism and Applications 3
- Metabolism, Diabetes, and Cancer 2
-
- Metabolism and Genetic Disorders 7
- Co-authors
- Gábor Bánhegyi (8 shared papers)András Szarka (1 shared paper)F. Antoni (12 shared papers)Gábor Bánhegyi (5 shared papers)Angelo Benedetti (4 shared papers)Rosella Fulceri (3 shared papers)Alessandra Gamberucci (2 shared papers)Károly Mészáros (4 shared papers)
- Journals
- FEBS Letters (3 papers)Journal of ExtraCorporeal Technology (2 papers)Thrombosis Research (2 papers)Hormone and Metabolic Research (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)
- Partner nations
- HungaryUnited StatesItaly
In The Last Decade
J. Mandl
32 papers receiving 850 citations
Peers
Comparison fields: 5 of 101
- Nutrition and Dietetics 253
- Biochemistry 88
- Clinical Biochemistry 69
- Pharmacology 83
- Biochemistry 51
Countries citing papers authored by J. Mandl
This map shows the geographic impact of J. Mandl'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 J. Mandl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Mandl more than expected).
Fields of papers citing papers by J. Mandl
This network shows the impact of papers produced by J. Mandl. 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 J. Mandl. The network helps show where J. Mandl may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Mandl, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 362 | |
| 2 | 2009 | 96 | |
| 3 | 1994 | 75 | |
| 4 | 1979 | 41 | |
| 5 | 2001 | 31 | |
| 6 | 2008 | 27 | |
| 7 | 2010 | 27 | |
| 8 | 1984 | 26 | |
| 9 | 1972 | 20 | |
| 10 | 1982 | 20 | |
| 11 | 1993 | 19 | |
| 12 | 1995 | 19 | |
| 13 | 1995 | 15 | |
| 14 | 1976 | 14 | |
| 15 | 2002 | 13 | |
| 16 | 1987 | 11 | |
| 17 | 1974 | 11 | |
| 18 | 2009 | 9 | |
| 19 | 1996 | 9 | |
| 20 | 1989 | 8 |
About J. Mandl
J. Mandl is a scholar working on Molecular Biology, Clinical Biochemistry, Biochemistry, Epidemiology and Physiology, having authored 32 papers that have together received 885 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (7 papers), Amino Acid Enzymes and Metabolism (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Biochemical effects in animals (3 papers), Polyamine Metabolism and Applications (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Diet and metabolism studies (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Nutrition and Dietetics (253 citations), Biochemistry (88 citations), Clinical Biochemistry (69 citations), Pharmacology (83 citations) and Biochemistry (51 citations). J. Mandl has collaborated with scholars based in Hungary, United States and Italy. Frequent co-authors include Gábor Bánhegyi, András Szarka, F. Antoni, Gábor Bánhegyi, Angelo Benedetti, Rosella Fulceri, Alessandra Gamberucci, Károly Mészáros, Tamás Garzó and Roberta Giunti. Their work appears in journals such as FEBS Letters, Journal of ExtraCorporeal Technology, Thrombosis Research, Hormone and Metabolic Research and The International Journal of Biochemistry & Cell Biology.
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.