Gábor Mócz

1.6k total citations
34 papers, 1.3k citations indexed

About

Gábor Mócz is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Gábor Mócz has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 13 papers in Cell Biology and 5 papers in Biophysics. Recurrent topics in Gábor Mócz's work include Photosynthetic Processes and Mechanisms (13 papers), Microtubule and mitosis dynamics (11 papers) and Protist diversity and phylogeny (5 papers). Gábor Mócz is often cited by papers focused on Photosynthetic Processes and Mechanisms (13 papers), Microtubule and mitosis dynamics (11 papers) and Protist diversity and phylogeny (5 papers). Gábor Mócz collaborates with scholars based in United States, Hungary and Netherlands. Gábor Mócz's co-authors include I. R. Gibbons, Barbara Gibbons, David J. Asai, Wei‐Jen Tang, David M. Jameson, Justin A. Ross, Satoru Arai, Richard Yanagihara, Hae Ji Kang and André S. Bachmann and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Gábor Mócz

33 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gábor Mócz United States 21 870 565 183 142 138 34 1.3k
Richard F. Gaber United States 37 3.9k 4.4× 419 0.7× 92 0.5× 132 0.9× 12 0.1× 60 4.8k
Richard G. Sleight United States 19 1.5k 1.7× 395 0.7× 70 0.4× 23 0.2× 19 0.1× 27 1.9k
Philip J. Laipis United States 27 1.6k 1.8× 156 0.3× 44 0.2× 29 0.2× 19 0.1× 55 2.1k
Christian Le Peuch France 15 616 0.7× 273 0.5× 204 1.1× 14 0.1× 10 0.1× 23 1.2k
Norimichi Nomura Japan 26 1.6k 1.8× 228 0.4× 124 0.7× 47 0.3× 6 0.0× 61 2.3k
John D. Venable United States 22 2.4k 2.8× 391 0.7× 60 0.3× 18 0.1× 11 0.1× 30 3.4k
Michael P. Yaffe United States 38 5.0k 5.8× 1.0k 1.8× 68 0.4× 48 0.3× 15 0.1× 54 5.5k
Joanne Widom United States 17 1.0k 1.2× 150 0.3× 70 0.4× 34 0.2× 8 0.1× 23 1.8k
Felix Friedberg United States 19 1.1k 1.3× 283 0.5× 7 0.0× 155 1.1× 15 0.1× 91 1.8k
Ana P. C. Rodrigues United States 6 1.6k 1.9× 246 0.4× 157 0.9× 32 0.2× 4 0.0× 6 2.3k

Countries citing papers authored by Gábor Mócz

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Mócz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Mócz

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Mócz. A scholar is included among the top collaborators of Gábor Mócz 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 Gábor Mócz. Gábor Mócz 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.
Yco, Lisette, Dirk Geerts, Gábor Mócz, Jan Köster, & André S. Bachmann. (2015). Effect of sulfasalazine on human neuroblastoma: analysis of sepiapterin reductase (SPR) as a new therapeutic target. BMC Cancer. 15(1). 477–477. 21 indexed citations
2.
Yco, Lisette, et al.. (2014). Withaferin A Inhibits STAT3 and Induces Tumor Cell Death in Neuroblastoma and Multiple Myeloma. SHILAP Revista de lepidopterología. 7. BCI.S18863–BCI.S18863. 34 indexed citations
3.
Mócz, Gábor & Justin A. Ross. (2013). Fluorescence Techniques in Analysis of Protein–Ligand Interactions. Methods in molecular biology. 1008. 169–210. 46 indexed citations
4.
Lange, Ingo, Dirk Geerts, David J. Feith, et al.. (2013). Novel Interaction of Ornithine Decarboxylase with Sepiapterin Reductase Regulates Neuroblastoma Cell Proliferation. Journal of Molecular Biology. 426(2). 332–346. 25 indexed citations
5.
Kang, Hae Ji, Shannon N. Bennett, Laarni Sumibcay, et al.. (2009). Evolutionary Insights from a Genetically Divergent Hantavirus Harbored by the European Common Mole (Talpa europaea). PLoS ONE. 4(7). e6149–e6149. 96 indexed citations
6.
Hermosura, Meredith C., Bennett Davenport, Carsten Schmitz, et al.. (2008). Altered functional properties of a TRPM2 variant in Guamanian ALS and PD. Proceedings of the National Academy of Sciences. 105(46). 18029–18034. 96 indexed citations
7.
Mócz, Gábor. (2007). Fluorescent Proteins and Their Use in Marine Biosciences, Biotechnology, and Proteomics. Marine Biotechnology. 9(3). 305–328. 16 indexed citations
8.
Mócz, Gábor. (2006). Information Content of Fluorescence Polarization and Anisotropy. Journal of Fluorescence. 16(4). 511–524. 27 indexed citations
9.
10.
Jameson, David M. & Gábor Mócz. (2005). Fluorescence Polarization/Anisotropy Approaches to Study Protein-Ligand Interactions. Methods in molecular biology. 305. 301–322. 46 indexed citations
11.
Mócz, Gábor & I. R. Gibbons. (2001). Model for the Motor Component of Dynein Heavy Chain Based on Homology to the AAA Family of Oligomeric ATPases. Structure. 9(2). 93–103. 73 indexed citations
12.
Mócz, Gábor. (1995). Fuzzy cluster analysis of simple physicochemical properties of amino acids for recognizing secondary structure in proteins. Protein Science. 4(6). 1178–1187. 20 indexed citations
13.
Mócz, Gábor & I. R. Gibbons. (1993). ATP-insensitive interaction of the amino-terminal region of the .beta. heavy chain of dynein with microtubules. Biochemistry. 32(13). 3456–3460. 18 indexed citations
14.
Mócz, Gábor, et al.. (1991). Proteolytic analysis of domain structure in the .beta. heavy chain of dynein from sea urchin sperm flagella. Biochemistry. 30(29). 7225–7231. 9 indexed citations
15.
Gibbons, I. R., Barbara Gibbons, Gábor Mócz, & David J. Asai. (1991). Multiple nucleotide-binding sites in the sequence of dynein β heavy chain. Nature. 352(6336). 640–643. 190 indexed citations
16.
Gibbons, I. R., David J. Asai, Gregory J. Dolecki, et al.. (1991). A PCR procedure to determine the sequence of large polypeptides by rapid walking through a cDNA library.. Proceedings of the National Academy of Sciences. 88(19). 8563–8567. 34 indexed citations
17.
Gibbons, I. R., Barbara Gibbons, Gábor Mócz, & David J. Asai. (1991). Multiple nucleotide-binding sites in the sequence of dynein β heavy chain. Trends in Cell Biology. 1(5). 114–114. 3 indexed citations
18.
Mócz, Gábor & I. R. Gibbons. (1990). A circular dichroic study of helical structure in flagellar dynein. Biochemistry. 29(20). 4839–4843. 12 indexed citations
19.
Mócz, Gábor. (1989). Vanadate‐mediated photocleavage of rabbit skeletal myosin. European Journal of Biochemistry. 179(2). 373–378. 30 indexed citations
20.
Evans, John A., Gábor Mócz, & I. R. Gibbons. (1986). Activation of dynein 1 adenosine triphosphatase by monovalent salts and inhibition by vanadate.. Journal of Biological Chemistry. 261(30). 14039–14043. 15 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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