Rita Sinka

2.1k total citations
42 papers, 1.6k citations indexed

About

Rita Sinka is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Rita Sinka has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 16 papers in Cell Biology and 8 papers in Immunology. Recurrent topics in Rita Sinka's work include Microtubule and mitosis dynamics (9 papers), Invertebrate Immune Response Mechanisms (8 papers) and Ubiquitin and proteasome pathways (7 papers). Rita Sinka is often cited by papers focused on Microtubule and mitosis dynamics (9 papers), Invertebrate Immune Response Mechanisms (8 papers) and Ubiquitin and proteasome pathways (7 papers). Rita Sinka collaborates with scholars based in Hungary, United Kingdom and United States. Rita Sinka's co-authors include Alison K. Gillingham, Sean Munro, Miklós Erdélyi, Kathryn S. Lilley, Ferenc Jankovics, Isabel Torres, Vangelis Kondylis, Gábor Juhász, David M. Glover and Tamás Lukácsovich and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

In The Last Decade

Rita Sinka

40 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rita Sinka Hungary 18 995 842 216 189 176 42 1.6k
Péter Deák Hungary 23 1.7k 1.7× 1.1k 1.3× 180 0.8× 253 1.3× 300 1.7× 52 2.3k
Serge Urbach France 25 1.4k 1.4× 277 0.3× 169 0.8× 96 0.5× 103 0.6× 66 2.1k
Soon Ji Yoo South Korea 22 2.1k 2.1× 604 0.7× 424 2.0× 402 2.1× 240 1.4× 44 2.5k
Julie A. Brill Canada 31 2.0k 2.0× 1.3k 1.6× 185 0.9× 109 0.6× 219 1.2× 59 2.9k
Erika R. Geisbrecht United States 17 803 0.8× 478 0.6× 167 0.8× 76 0.4× 208 1.2× 38 1.2k
James E. Wilhelm United States 21 2.3k 2.3× 525 0.6× 161 0.7× 144 0.8× 267 1.5× 33 2.7k
Masami Nagahama Japan 17 980 1.0× 784 0.9× 113 0.5× 195 1.0× 170 1.0× 26 1.6k
Jens Lüders Spain 24 2.3k 2.3× 1.8k 2.1× 134 0.6× 104 0.6× 116 0.7× 38 2.7k
Mário Henrique Bengtson Brazil 14 1.4k 1.4× 298 0.4× 115 0.5× 256 1.4× 117 0.7× 23 1.7k
Elizabeth Smythe United Kingdom 24 1.4k 1.4× 1.3k 1.5× 209 1.0× 72 0.4× 225 1.3× 41 2.0k

Countries citing papers authored by Rita Sinka

Since Specialization
Citations

This map shows the geographic impact of Rita Sinka'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 Rita Sinka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Sinka more than expected).

Fields of papers citing papers by Rita Sinka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita Sinka. 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 Rita Sinka. The network helps show where Rita Sinka may publish in the future.

Co-authorship network of co-authors of Rita Sinka

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Sinka. A scholar is included among the top collaborators of Rita Sinka 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 Rita Sinka. Rita Sinka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kozinszky, Zoltán, et al.. (2025). Machine Learning-Based Prediction of IVF Outcomes: The Central Role of Female Preprocedural Factors. Biomedicines. 13(11). 2768–2768.
2.
Dallai, Romano, David Mercati, Rita Sinka, et al.. (2024). Proteomic diversification of spermatostyles among six species of whirligig beetles. Molecular Reproduction and Development. 91(5). e23745–e23745. 3 indexed citations
3.
Krecsmarik, Mónika, et al.. (2024). Versatile gamma-tubulin complexes contribute to the dynamic organization of MTOCs during Drosophila spermatogenesis. Communications Biology. 7(1). 1385–1385.
4.
Sinka, Rita, et al.. (2024). Dual role for Headcase in hemocyte progenitor fate determination in Drosophila melanogaster. PLoS Genetics. 20(10). e1011448–e1011448. 1 indexed citations
5.
Jankovics, Ferenc, et al.. (2024). Mitochondrial Differentiation during Spermatogenesis: Lessons from Drosophila melanogaster. International Journal of Molecular Sciences. 25(7). 3980–3980. 3 indexed citations
6.
Ábrahám, Edit, et al.. (2023). Plk4 Is a Novel Substrate of Protein Phosphatase 5. International Journal of Molecular Sciences. 24(3). 2033–2033. 5 indexed citations
7.
Ábrahám, Edit, et al.. (2023). Protein Phosphatase 4 Is Required for Centrobin Function in DNA Damage Repair. Cells. 12(18). 2219–2219. 1 indexed citations
8.
Datki, Zsolt, Zsuzsanna Darula, Éva Hunyadi‐Gulyás, et al.. (2023). Biofilm formation initiating rotifer-specific biopolymer and its predicted components. International Journal of Biological Macromolecules. 253(Pt 5). 127157–127157. 1 indexed citations
9.
Lőrincz, Péter, et al.. (2023). A comparative analysis of fruit fly and human glutamate dehydrogenases in Drosophila melanogaster sperm development. Frontiers in Cell and Developmental Biology. 11. 1281487–1281487. 4 indexed citations
10.
Datki, Zsolt, Bence Gálik, Rita Sinka, et al.. (2022). The interacting rotifer-biopolymers are anti- and disaggregating agents for human-type beta-amyloid in vitro. International Journal of Biological Macromolecules. 201. 262–269. 3 indexed citations
11.
Datki, Zsolt, et al.. (2022). Particle-dependent reproduction and exogenic biopolymer secretion of protozoa co-cultured rotifers. International Journal of Biological Macromolecules. 211. 669–677. 3 indexed citations
12.
Bajusz, Csaba, Tomáš Venit, Tamás Lukácsovich, et al.. (2021). The nuclear activity of the actin‐binding Moesin protein is necessary for gene expression in Drosophila. FEBS Journal. 288(16). 4812–4832. 7 indexed citations
13.
Lipinszki, Zoltán, et al.. (2021). Microtubule Organizing Centers Contain Testis-Specific γ-TuRC Proteins in Spermatids of Drosophila. Frontiers in Cell and Developmental Biology. 9. 727264–727264. 9 indexed citations
14.
Kovács, Attila, et al.. (2021). The tumor suppressor archipelago E3 ligase is required for spermatid differentiation in Drosophila testis. Scientific Reports. 11(1). 8422–8422. 6 indexed citations
15.
Szebenyi, Csilla, Rita Sinka, Mónika Homa, et al.. (2020). CRISPR-Cas9-Based Mutagenesis of the Mucormycosis-Causing Fungus Lichtheimia corymbifera. International Journal of Molecular Sciences. 21(10). 3727–3727. 11 indexed citations
16.
Laurinyecz, Barbara, et al.. (2016). Testis-Specific Bb8 Is Essential in the Development of Spermatid Mitochondria. PLoS ONE. 11(8). e0161289–e0161289. 20 indexed citations
17.
Gillingham, Alison K., Rita Sinka, Isabel Torres, Kathryn S. Lilley, & Sean Munro. (2014). Toward a Comprehensive Map of the Effectors of Rab GTPases. Developmental Cell. 31(3). 358–373. 201 indexed citations
18.
Wendler, Franz, Alison K. Gillingham, Rita Sinka, et al.. (2009). A genome‐wide RNA interference screen identifies two novel components of the metazoan secretory pathway. The EMBO Journal. 29(2). 304–314. 79 indexed citations
19.
Juhász, Gábor, György Csikós, Rita Sinka, Miklós Erdélyi, & Miklós Sass. (2003). The Drosophila homolog of Aut1 is essential for autophagy and development. FEBS Letters. 543(1-3). 154–158. 86 indexed citations
20.
Jankovics, Ferenc, Rita Sinka, Tamás Lukácsovich, & Miklós Erdélyi. (2002). MOESIN Crosslinks Actin and Cell Membrane in Drosophila Oocytes and Is Required for OSKAR Anchoring. Current Biology. 12(23). 2060–2065. 74 indexed citations

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.

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