G. Csaba
Impact in
- Molecular Biology top 5%
- Protist diversity and phylogeny
- Polyamine Metabolism and Applications
- Ion Transport and Channel Regulation
Papers in
-
- Protist diversity and phylogeny 175
- Polyamine Metabolism and Applications 23
- Ion Transport and Channel Regulation 16
- Cell Biology 42
- Hemoglobin structure and function 27
- Co-authors
- Péter Kovács (101 shared papers)László Kőhidai (40 shared papers)Éva Pállinger (24 shared papers)Hargita Hegyesi (11 shared papers)Gábor Németh (11 shared papers)Csaba Székely (3 shared papers)Péter Kovács (7 shared papers)Kálmán Molnár (3 shared papers)
In The Last Decade
G. Csaba
309 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 123
- Endocrine and Autonomic Systems 311
- Molecular Biology 2.1k
- Cell Biology 414
- Environmental Chemistry 226
- Cellular and Molecular Neuroscience 347
Countries citing papers authored by G. Csaba
This map shows the geographic impact of G. Csaba'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 G. Csaba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Csaba more than expected).
Fields of papers citing papers by G. Csaba
This network shows the impact of papers produced by G. Csaba. 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 G. Csaba. The network helps show where G. Csaba may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Csaba, 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 315 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 274 | |
| 2 | The unicellular Tetrahymena as a model cell for receptor research. | 1985 | 148 |
| 3 | 1994 | 123 | |
| 4 | 1986 | 98 | |
| 5 | 1993 | 88 | |
| 6 | 1975 | 76 | |
| 7 | 1990 | 74 | |
| 8 | 1998 | 54 | |
| 9 | 1986 | 44 | |
| 10 | 1993 | 39 | |
| 11 | 2012 | 37 | |
| 12 | 1990 | 37 | |
| 13 | 1980 | 36 | |
| 14 | 1971 | 34 | |
| 15 | MOLECULE DEPENDENT CHEMOTACTIC RESPONSES OF TETRAHYMENA PYRIFORMIS ELICITED BY VOLATILE OILS | 1995 | 34 |
| 16 | 1995 | 29 | |
| 17 | 2006 | 29 | |
| 18 | 2013 | 26 | |
| 19 | 1999 | 26 | |
| 20 | Effect of epinephrine on glucose metabolism in Tetrahymena. | 1976 | 26 |
About G. Csaba
G. Csaba is a scholar working on Molecular Biology, Cell Biology, Environmental Chemistry, Ecology and Pollution, having authored 315 papers that have together received 3.4k indexed citations. Recurring topics across this work include Protist diversity and phylogeny (175 papers), Hemoglobin structure and function (27 papers), Wastewater Treatment and Nitrogen Removal (26 papers), Polyamine Metabolism and Applications (23 papers), Erythrocyte Function and Pathophysiology (19 papers), Mast cells and histamine (18 papers), Marine Toxins and Detection Methods (17 papers) and Ion Transport and Channel Regulation (16 papers). The work is most often cited by research in Endocrine and Autonomic Systems (311 citations), Molecular Biology (2.1k citations), Cell Biology (414 citations), Environmental Chemistry (226 citations) and Cellular and Molecular Neuroscience (347 citations). G. Csaba has collaborated with scholars based in Hungary, Japan and Germany. Frequent co-authors include Péter Kovács, László Kőhidai, Éva Pállinger, Hargita Hegyesi, Gábor Németh, Csaba Székely, Péter Kovács, Kálmán Molnár, Zsuzsa Darvas and Zsuzsanna Darvas. Their work appears in journals such as Cell Biochemistry and Function, Cell Biology International, Acta Protozoologica, Cellular and Molecular Life Sciences and Bioscience Reports.
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.