Mátyás Gorjánácz

1.6k total citations
23 papers, 973 citations indexed

About

Mátyás Gorjánácz is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Mátyás Gorjánácz has authored 23 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Oncology. Recurrent topics in Mátyás Gorjánácz's work include Nuclear Structure and Function (15 papers), RNA Research and Splicing (13 papers) and Genomics and Chromatin Dynamics (6 papers). Mátyás Gorjánácz is often cited by papers focused on Nuclear Structure and Function (15 papers), RNA Research and Splicing (13 papers) and Genomics and Chromatin Dynamics (6 papers). Mátyás Gorjánácz collaborates with scholars based in Germany, United States and Hungary. Mátyás Gorjánácz's co-authors include Iain W. Mattaj, Rachel Santarella‐Mellwig, Vincent Galy, Iain F. Davidson, Moritz Mall, Carmen López‐Iglesias, Rachel Santarella, Peter Askjaer, Andreas Jaedicke and Bernard M. Mechler and has published in prestigious journals such as Cell, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Mátyás Gorjánácz

23 papers receiving 969 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mátyás Gorjánácz Germany 14 841 254 72 61 52 23 973
Hélène Rime France 16 430 0.5× 334 1.3× 163 2.3× 81 1.3× 70 1.3× 25 898
Bilha Raboy Israel 15 820 1.0× 230 0.9× 60 0.8× 58 1.0× 22 0.4× 20 967
Ivo De Baere Belgium 14 629 0.7× 185 0.7× 69 1.0× 165 2.7× 33 0.6× 19 758
Myles Axton United Kingdom 16 963 1.1× 413 1.6× 131 1.8× 166 2.7× 51 1.0× 26 1.2k
Alain Camasses France 16 883 1.0× 283 1.1× 85 1.2× 142 2.3× 18 0.3× 22 1.0k
Wiesława Widłak Poland 21 667 0.8× 186 0.7× 63 0.9× 27 0.4× 75 1.4× 50 893
Keren L. Witkin United States 8 556 0.7× 171 0.7× 23 0.3× 43 0.7× 19 0.4× 10 697
Utako Kato Japan 8 515 0.6× 267 1.1× 47 0.7× 59 1.0× 7 0.1× 11 667
Nobuaki Furuno Japan 14 945 1.1× 512 2.0× 106 1.5× 90 1.5× 63 1.2× 41 1.2k
Kazuko Hanyu Japan 8 758 0.9× 199 0.8× 128 1.8× 74 1.2× 41 0.8× 9 916

Countries citing papers authored by Mátyás Gorjánácz

Since Specialization
Citations

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

Fields of papers citing papers by Mátyás Gorjánácz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mátyás Gorjánácz

This figure shows the co-authorship network connecting the top 25 collaborators of Mátyás Gorjánácz. A scholar is included among the top collaborators of Mátyás Gorjánácz 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 Mátyás Gorjánácz. Mátyás Gorjánácz 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.
Roider, Helge G., Sabine Hoff, Su-Yi Tseng, et al.. (2024). Selective depletion of tumor-infiltrating regulatory T cells with BAY 3375968, a novel Fc-optimized anti-CCR8 antibody. Clinical and Experimental Medicine. 24(1). 122–122. 10 indexed citations
2.
Heller, Simon, Andreas Janzer, Helge G. Roider, et al.. (2023). Pan-PI3K inhibition with copanlisib overcomes Treg- and M2-TAM-mediated immune suppression and promotes anti-tumor immune responses. Clinical and Experimental Medicine. 23(8). 5445–5461. 7 indexed citations
3.
Phillips, Margaret, Marco Tonelli, Gabriel Cornilescu, et al.. (2021). Coordination of Di-Acetylated Histone Ligands by the ATAD2 Bromodomain. International Journal of Molecular Sciences. 22(17). 9128–9128. 10 indexed citations
4.
Gutcher, Ilona, Christina Kober, Julian Roewe, et al.. (2019). Abstract 1288: Blocking tumor-associated immune suppression with BAY-218, a novel, selective aryl hydrocarbon receptor (AhR) inhibitor. Cancer Research. 79(13_Supplement). 1288–1288. 13 indexed citations
5.
6.
Koo, Seong Joo, Amaury E. Fernández‐Montalván, Volker Badock, et al.. (2016). ATAD2 is an epigenetic reader of newly synthesized histone marks during DNA replication. Oncotarget. 7(43). 70323–70335. 61 indexed citations
7.
Gorjánácz, Mátyás, et al.. (2014). TheCaenorhabditis elegansSUN protein UNC-84 interacts with lamin to transfer forces from the cytoplasm to the nucleoskeleton during nuclear migration. Molecular Biology of the Cell. 25(18). 2853–2865. 52 indexed citations
8.
Gorjánácz, Mátyás. (2014). Nuclear assembly as a target for anti-cancer therapies. Nucleus. 5(1). 47–55. 21 indexed citations
9.
Joseph-Strauss, Daphna, Mátyás Gorjánácz, Rachel Santarella‐Mellwig, et al.. (2012). Sm protein down-regulation leads to defects in nuclear pore complex disassembly and distribution in C. elegans embryos. Developmental Biology. 365(2). 445–457. 13 indexed citations
10.
Asencio, Claudio, Iain F. Davidson, Rachel Santarella‐Mellwig, et al.. (2012). Coordination of Kinase and Phosphatase Activities by Lem4 Enables Nuclear Envelope Reassembly during Mitosis. Cell. 150(1). 122–135. 132 indexed citations
11.
Gorjánácz, Mátyás. (2012). LEM-4 promotes rapid dephosphorylation of BAF during mitotic exit. Nucleus. 4(1). 14–17. 14 indexed citations
12.
Mall, Moritz, Thomas Walter, Mátyás Gorjánácz, et al.. (2012). Mitotic lamin disassembly is triggered by lipid-mediated signaling. The Journal of Cell Biology. 198(6). 981–990. 59 indexed citations
13.
Santarella‐Mellwig, Rachel, Josef D. Franke, Andreas Jaedicke, et al.. (2010). The Compartmentalized Bacteria of the Planctomycetes-Verrucomicrobia-Chlamydiae Superphylum Have Membrane Coat-Like Proteins. PLoS Biology. 8(1). e1000281–e1000281. 115 indexed citations
14.
Gorjánácz, Mátyás & Iain W. Mattaj. (2009). Lipin is required for efficient breakdown of the nuclear envelope inCaenorhabditis elegans. Journal of Cell Science. 122(12). 1963–1969. 70 indexed citations
15.
Gorjánácz, Mátyás, Andreas Jaedicke, & Iain W. Mattaj. (2007). What can Caenorhabditis elegans tell us about the nuclear envelope?. FEBS Letters. 581(15). 2794–2801. 25 indexed citations
16.
Gorjánácz, Mátyás, Iain W. Mattaj, & Jens Rietdorf. (2007). Some Like It Hot. 9(1). 28–29. 4 indexed citations
17.
Gorjánácz, Mátyás, István Török, István Pomozi, et al.. (2006). Domains of Importin-α2 required for ring canal assembly during Drosophila oogenesis. Journal of Structural Biology. 154(1). 27–41. 21 indexed citations
18.
Gorjánácz, Mátyás, Vincent Galy, Rachel Santarella, et al.. (2006). Caenorhabditis elegans BAF‐1 and its kinase VRK‐1 participate directly in post‐mitotic nuclear envelope assembly. The EMBO Journal. 26(1). 132–143. 173 indexed citations
19.
Gorjánácz, Mátyás, et al.. (2002). Importin-α2 Is Critically Required for the Assembly of Ring Canals during Drosophila Oogenesis. Developmental Biology. 251(2). 271–282. 44 indexed citations
20.
Giarrè, Marianna, et al.. (2002). Patterns of importin-α expression during Drosophila spermatogenesis. Journal of Structural Biology. 140(1-3). 279–290. 36 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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