Roland Takács

587 total citations
28 papers, 436 citations indexed

About

Roland Takács is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Rheumatology. According to data from OpenAlex, Roland Takács has authored 28 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 9 papers in Rheumatology. Recurrent topics in Roland Takács's work include Osteoarthritis Treatment and Mechanisms (9 papers), Circadian rhythm and melatonin (5 papers) and Neuropeptides and Animal Physiology (5 papers). Roland Takács is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (9 papers), Circadian rhythm and melatonin (5 papers) and Neuropeptides and Animal Physiology (5 papers). Roland Takács collaborates with scholars based in Hungary, United Kingdom and Finland. Roland Takács's co-authors include Csaba Matta, Róza Zákány, Tamás Juhász, Csilla Somogyi, Éva Katona, László Csernoch, Pál Gergely, János Fodor, Éva Bakó and Andrea Tamás and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Roland Takács

26 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roland Takács Hungary 13 176 168 124 69 60 28 436
Anita Terse United States 12 265 1.5× 140 0.8× 81 0.7× 20 0.3× 123 2.0× 17 548
Zhijian Yang China 15 319 1.8× 60 0.4× 61 0.5× 52 0.8× 39 0.7× 52 585
Yujun Pan China 11 146 0.8× 79 0.5× 82 0.7× 21 0.3× 31 0.5× 16 433
Keren Bismuth France 9 251 1.4× 43 0.3× 70 0.6× 43 0.6× 35 0.6× 14 466
Aixin Cheng United Kingdom 12 320 1.8× 171 1.0× 95 0.8× 136 2.0× 37 0.6× 16 625
Cristina Sancricca Italy 14 242 1.4× 70 0.4× 129 1.0× 59 0.9× 53 0.9× 29 703
Seong‐Suk Jue South Korea 12 143 0.8× 49 0.3× 52 0.4× 51 0.7× 75 1.3× 18 403
Tae‐Ryong Riew South Korea 11 178 1.0× 31 0.2× 92 0.7× 21 0.3× 78 1.3× 32 378
Tyler J. Rentz United States 6 138 0.8× 134 0.8× 83 0.7× 82 1.2× 25 0.4× 7 464
Katerina K. Papachroni Greece 9 265 1.5× 44 0.3× 95 0.8× 35 0.5× 116 1.9× 10 661

Countries citing papers authored by Roland Takács

Since Specialization
Citations

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

Fields of papers citing papers by Roland Takács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Takács

This figure shows the co-authorship network connecting the top 25 collaborators of Roland Takács. A scholar is included among the top collaborators of Roland Takács 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 Roland Takács. Roland Takács 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.
2.
Takács, Roland, Ali Mobasheri, & Csaba Matta. (2025). Introduction: Methods for Studying the Plasma Membrane and the Surfaceome. Methods in molecular biology. 2908. 1–9.
3.
Matta, Csaba, Roland Takács, Mona Dvir‐Ginzberg, et al.. (2025). Insights into chondrocyte populations in cartilaginous tissues at the single-cell level. Nature Reviews Rheumatology. 21(8). 465–477. 1 indexed citations
4.
Kovács, Patrik, et al.. (2024). Hypoxic Conditions Modulate Chondrogenesis through the Circadian Clock: The Role of Hypoxia-Inducible Factor-1α. Cells. 13(6). 512–512. 7 indexed citations
5.
Somogyi, Csilla, et al.. (2024). Isolation and Culturing of Primary Murine Chondroprogenitor Cells: A Mammalian Model of Chondrogenesis. Current Protocols. 4(3). e1005–e1005.
6.
Takács, Roland, Tamás Juhász, Éva Katona, et al.. (2023). Isolation and Micromass Culturing of Primary Chicken Chondroprogenitor Cells for Cartilage Regeneration. Current Protocols. 3(7). e835–e835. 3 indexed citations
7.
Takács, Roland, Szilárd Póliska, Peter Natesan Pushparaj, et al.. (2023). The temporal transcriptomic signature of cartilage formation. Nucleic Acids Research. 51(8). 3590–3617. 14 indexed citations
8.
Takács, Roland, Patrik Kovács, János Almássy, et al.. (2023). Ca2+-Activated K+ Channels in Progenitor Cells of Musculoskeletal Tissues: A Narrative Review. International Journal of Molecular Sciences. 24(7). 6796–6796. 4 indexed citations
9.
Matta, Csaba, et al.. (2023). Ion channels involved in inflammation and pain in osteoarthritis and related musculoskeletal disorders. American Journal of Physiology-Cell Physiology. 325(1). C257–C271. 20 indexed citations
10.
Takács, Roland, et al.. (2023). Isolation of High‐Quality Total RNA from Small Animal Articular Cartilage for Next‐Generation Sequencing. Current Protocols. 3(3). e692–e692. 4 indexed citations
11.
Takács, Roland, et al.. (2023). Combining biomechanical stimulation and chronobiology: a novel approach for augmented chondrogenesis?. Frontiers in Bioengineering and Biotechnology. 11. 1232465–1232465. 5 indexed citations
12.
Hegedűs, Krisztina, Gréta Kis, Roland Takács, et al.. (2023). Neuronal P2X4 receptor may contribute to peripheral inflammatory pain in rat spinal dorsal horn. Frontiers in Molecular Neuroscience. 16. 1115685–1115685. 5 indexed citations
13.
Kovács, Patrik, Peter Natesan Pushparaj, Roland Takács, Ali Mobasheri, & Csaba Matta. (2023). The clusterin connectome: Emerging players in chondrocyte biology and putative exploratory biomarkers of osteoarthritis. Frontiers in Immunology. 14. 1103097–1103097. 6 indexed citations
14.
Katona, Éva, Roland Takács, Patrik Kovács, et al.. (2022). Cyclic uniaxial mechanical load enhances chondrogenesis through entraining the molecular circadian clock. Journal of Pineal Research. 73(4). e12827–e12827. 16 indexed citations
15.
Kiss, Katalin, et al.. (2021). Analysis of Gene Expression Patterns of Epigenetic Enzymes Dnmt3a, Tet1 and Ogt in Murine Chondrogenic Models. Cells. 10(10). 2678–2678. 3 indexed citations
16.
Katona, Éva, et al.. (2020). A Synchronized Circadian Clock Enhances Early Chondrogenesis. Cartilage. 13(2_suppl). 53S–67S. 13 indexed citations
17.
Matta, Csaba, János Fodor, Nicolai Miosge, et al.. (2014). Purinergic signalling is required for calcium oscillations in migratory chondrogenic progenitor cells. Pflügers Archiv - European Journal of Physiology. 467(2). 429–442. 28 indexed citations
18.
Juhász, Tamás, Csaba Matta, Éva Katona, et al.. (2014). Pituitary Adenylate Cyclase-Activating Polypeptide (PACAP) Signalling Enhances Osteogenesis in UMR-106 Cell Line. Journal of Molecular Neuroscience. 54(3). 555–573. 30 indexed citations
19.
Takács, Roland, Csaba Matta, Csilla Somogyi, Tamás Juhász, & Róza Zákány. (2013). Comparative Analysis of Osteogenic/Chondrogenic Differentiation Potential in Primary Limb Bud-Derived and C3H10T1/2 Cell Line-Based Mouse Micromass Cultures. International Journal of Molecular Sciences. 14(8). 16141–16167. 28 indexed citations
20.
Fodor, János, Csaba Matta, Tamás Oláh, et al.. (2013). Store-operated calcium entry and calcium influx via voltage-operated calcium channels regulate intracellular calcium oscillations in chondrogenic cells. Cell Calcium. 54(1). 1–16. 57 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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