S. Imre
- Molecular Biology
- Physiology
- Pulmonary and Respiratory Medicine
- Epidemiology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Zita SzikszaiFerenc MechlerPéter DiószeghyR. C. NobleMária Tünde MagyarViktória JeneyAttila ValikovicsIstván Fekete
- Topics
- Adipose Tissue and Metabolism (5 papers)Biochemical effects in animals (4 papers)Fatty Acid Research and Health (4 papers)
- Cited by
- RehabilitationAgingBiochemistry
In The Last Decade
S. Imre
28 papers receiving 381 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 104
- Physiology 95
- Pulmonary and Respiratory Medicine 79
- Epidemiology 74
- Cardiology and Cardiovascular Medicine 66
Countries citing papers authored by S. Imre
This map shows the geographic impact of S. Imre'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 S. Imre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Imre more than expected).
Fields of papers citing papers by S. Imre
This network shows the impact of papers produced by S. Imre. 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 S. Imre. The network helps show where S. Imre may publish in the future.
Co-authorship network of co-authors of S. Imre
This figure shows the co-authorship network connecting the top 25 collaborators of S. Imre. A scholar is included among the top collaborators of S. Imre based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Imre. S. Imre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 16 | |
| 3 | Study on the hemorheological parameters of oldest-old residents in the East-Hungarian city, Debrecen. | 9 |
| 4 | [Can the injured spleen be preserved? Results of 20-year experiments]. | 5 |
| 5 | 110 | |
| 6 | Effect of hemodialysis on the deformability and lipid peroxidation of erythrocytes in chronic renal failure. | 8 |
| 7 | 4 | |
| 8 | [Auto-oxidation test for the determination of lipid peroxidation capacity of liver tissue homogenates of young and old mice]. | 1 |
| 9 | 13 | |
| 10 | 13 | |
| 11 | 48 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | [Caryotype 47 XYY, aortic hypoplasia and congestive cardiomyopathy]. | 1 |
| 16 | [Partial appendix invagination stimulating benign tumor of the cecum]. | 0 |
| 17 | 9 | |
| 18 | The effect of cAMP on phospholipid metabolism. | 3 |
| 19 | 1 | |
| 20 | 4 |
About S. Imre
S. Imre is a scholar working on Neuropsychology and Physiological Psychology, Biochemistry and Physiology, having authored 29 papers that have together received 403 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Biochemical effects in animals (4 papers) and Fatty Acid Research and Health (4 papers). The work is most often cited by research in Rehabilitation (46 citations), Aging (9 citations) and Biochemistry (29 citations). S. Imre has collaborated with scholars based in Hungary, Germany and Israel. Frequent co-authors include Zita Szikszai, Ferenc Mechler, Péter Diószeghy, R. C. Noble, Mária Tünde Magyar, Viktória Jeney, Attila Valikovics, István Fekete, József Balla and László Csiba. Their work appears in journals such as Stroke, Cellular and Molecular Life Sciences and Journal of the Neurological Sciences.
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.