Z Marcsek
- Co-authors
- Anna TompaGeorge KleinFerenc BoldogBéla SzendeRikard ErlandssonJános SümegiJános MinárovitsEugene R. Zabarovsky
- Topics
- Renal cell carcinoma treatment (2 papers)Epigenetics and DNA Methylation (2 papers)Renal and related cancers (2 papers)
- Partner nations
- HungarySwedenUnited States
In The Last Decade
Z Marcsek
23 papers receiving 352 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 184
- Oncology 88
- Genetics 46
- Cancer Research 43
- Epidemiology 41
Countries citing papers authored by Z Marcsek
This map shows the geographic impact of Z Marcsek'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 Z Marcsek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z Marcsek more than expected).
Fields of papers citing papers by Z Marcsek
This network shows the impact of papers produced by Z Marcsek. 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 Z Marcsek. The network helps show where Z Marcsek may publish in the future.
Co-authorship network of co-authors of Z Marcsek
This figure shows the co-authorship network connecting the top 25 collaborators of Z Marcsek. A scholar is included among the top collaborators of Z Marcsek 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 Z Marcsek. Z Marcsek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 19 | |
| 3 | 17 | |
| 4 | 14 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 15 | |
| 8 | 34 | |
| 9 | 1 | |
| 10 | Effect of streptozotocin-induced diabetes on kidney Na+/K(+)-ATPase. | 9 |
| 11 | 6 | |
| 12 | 36 | |
| 13 | 22 | |
| 14 | 10 | |
| 15 | 33 | |
| 16 | Episodic secretion of hormones and the diagnostic value of single blood estimates. II. Progesterone, oestradiol and oestrone. | 4 |
| 17 | Episodic secretion of hormones and the diagnostic value of single blood estimates. III. Testosterone, androstenedione, dehydroepiandrosterone, dehydroepiandrosterone sulphate, cortisol. | 4 |
| 18 | Proliferation related peptides in quiescent and regenerating rat liver. | 3 |
| 19 | [Correlations between the clinical condition and the antiglobulin consumption test in rheumatic fever in childhood]. | 1 |
| 20 | [Data on immunopathological aspects of rheumatic fever in children. I. Experience with the anti-globulin consumption test]. | 1 |
About Z Marcsek
Z Marcsek is a scholar working on Geriatrics and Gerontology, Molecular Biology and Oncology, having authored 25 papers that have together received 361 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (2 papers), Epigenetics and DNA Methylation (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Geriatrics and Gerontology (14 citations), Oncology (88 citations) and Cancer Research (43 citations). Z Marcsek has collaborated with scholars based in Hungary, Sweden and United States. Frequent co-authors include Anna Tompa, George Klein, Ferenc Boldog, Béla Szende, Rikard Erlandsson, János Sümegi, János Minárovits, Eugene R. Zabarovsky, B. Szende and M Jakab. Their work appears in journals such as Nucleic Acids Research, Biochemical and Biophysical Research Communications and FEBS Letters.
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.