M. Gabriel

1.6k total citations
45 papers, 1.2k citations indexed

About

M. Gabriel is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Endocrine and Autonomic Systems. According to data from OpenAlex, M. Gabriel has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Pediatrics, Perinatology and Child Health and 7 papers in Endocrine and Autonomic Systems. Recurrent topics in M. Gabriel's work include RNA Research and Splicing (13 papers), RNA and protein synthesis mechanisms (12 papers) and RNA modifications and cancer (9 papers). M. Gabriel is often cited by papers focused on RNA Research and Splicing (13 papers), RNA and protein synthesis mechanisms (12 papers) and RNA modifications and cancer (9 papers). M. Gabriel collaborates with scholars based in Germany, Spain and United States. M. Gabriel's co-authors include Miguel Remacha, M. Albani, Juan P. G. Ballesta, F. J. Schulte, Paul Russell, Jürg Bähler, Stephen Watt, Elena Hidalgo, Cruz Santos and José Ayté and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and PLoS ONE.

In The Last Decade

M. Gabriel

43 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Gabriel Germany 20 762 198 179 118 101 45 1.2k
S. Marsy France 19 866 1.1× 238 1.2× 52 0.3× 67 0.6× 34 0.3× 40 1.1k
Seiko F. Okada United States 16 503 0.7× 538 2.7× 276 1.5× 43 0.4× 70 0.7× 22 1.4k
Juliana I. Sesma United States 17 509 0.7× 187 0.9× 138 0.8× 22 0.2× 109 1.1× 25 1.1k
Alison L. Woo United States 15 1.1k 1.4× 183 0.9× 69 0.4× 35 0.3× 48 0.5× 16 1.5k
Michael R. Dorwart United States 12 1.0k 1.3× 500 2.5× 71 0.4× 44 0.4× 100 1.0× 13 1.8k
Mike Althaus Germany 21 603 0.8× 231 1.2× 163 0.9× 35 0.3× 33 0.3× 43 1.3k
R Richman United States 23 1.4k 1.8× 133 0.7× 88 0.5× 194 1.6× 200 2.0× 34 2.1k
Masahiro Nakayama Japan 21 570 0.7× 94 0.5× 32 0.2× 155 1.3× 111 1.1× 48 1.1k
Sukrutha Chettimada United States 17 440 0.6× 175 0.9× 95 0.5× 44 0.4× 31 0.3× 26 919
S Phaneuf United Kingdom 20 438 0.6× 114 0.6× 132 0.7× 171 1.4× 14 0.1× 34 1.3k

Countries citing papers authored by M. Gabriel

Since Specialization
Citations

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

Fields of papers citing papers by M. Gabriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Gabriel

This figure shows the co-authorship network connecting the top 25 collaborators of M. Gabriel. A scholar is included among the top collaborators of M. Gabriel 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 M. Gabriel. M. Gabriel 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.
Roffael, E., et al.. (2017). Influence of pulping technology on the release of formaldehyde and volatile organic acids from oak fibres and medium density fibreboards (MDF) prepared therefrom. European Journal of Wood and Wood Products. 76(1). 397–399. 2 indexed citations
2.
Sansó, Miriam, Mercè Carmona, Esther Paulo, et al.. (2013). Modification of tRNALysUUU by Elongator Is Essential for Efficient Translation of Stress mRNAs. PLoS Genetics. 9(7). e1003647–e1003647. 105 indexed citations
3.
Matia‐González, Ana M., et al.. (2013). Functional characterization of Upf1 targets inSchizosaccharomyces pombe. RNA Biology. 10(6). 1057–1065. 11 indexed citations
4.
Matia‐González, Ana M., et al.. (2012). The RNA Binding Protein Csx1 Promotes Sexual Differentiation in Schizosaccharomyces pombe. PLoS ONE. 7(1). e30067–e30067. 5 indexed citations
5.
Matia‐González, Ana M., et al.. (2012). Response to Arsenate Treatment in Schizosaccharomyces pombe and the Role of Its Arsenate Reductase Activity. PLoS ONE. 7(8). e43208–e43208. 5 indexed citations
6.
Matia‐González, Ana M. & M. Gabriel. (2010). Slt2 MAPK pathway is essential for cell integrity in the presence of arsenate. Yeast. 28(1). 9–17. 13 indexed citations
7.
López‐Avilés, Sandra, Alberto Moldón, Maribel Grande, et al.. (2008). Activation of Srk1 by the Mitogen-activated Protein Kinase Sty1/Spc1 Precedes Its Dissociation from the Kinase and Signals Its Degradation. Molecular Biology of the Cell. 19(4). 1670–1679. 30 indexed citations
8.
Gabriel, M. & Paul Russell. (2007). Control of mRNA Stability by SAPKs. PubMed. 20. 159–170. 3 indexed citations
9.
Gabriel, M.. (2003). RNA-binding protein Csx1 mediates global control of gene expression in response to oxidative stress. The EMBO Journal. 22(23). 6256–6266. 66 indexed citations
10.
Gabriel, M., Miguel Remacha, & Juan P. G. Ballesta. (2000). The RNA Interacting Domain but Not the Protein Interacting Domain Is Highly Conserved in Ribosomal Protein P0. Journal of Biological Chemistry. 275(3). 2130–2136. 48 indexed citations
11.
12.
Gabriel, M., et al.. (1999). Structure and function of the stalk, a putative regulatory element of the yeast ribosome. Role of stalk protein phosphorylation. Folia Microbiologica. 44(2). 153–163. 7 indexed citations
13.
Ballesta, Juan P. G., et al.. (1999). Phosphorylation of the yeast ribosomal stalk. Functional effects and enzymes involved in the process. FEMS Microbiology Reviews. 23(5). 537–550. 40 indexed citations
14.
Remacha, Miguel, et al.. (1995). Ribosomal Acidic Phosphoproteins P1 and P2 Are Not Required for Cell Viability but Regulate the Pattern of Protein Expression in Saccharomyces cerevisiae. Molecular and Cellular Biology. 15(9). 4754–4762. 115 indexed citations
15.
Remacha, Miguel, et al.. (1995). Proteins P1, P2, and P0, components of the eukaryotic ribosome stalk. New structural and functional aspects. Biochemistry and Cell Biology. 73(11-12). 959–968. 89 indexed citations
16.
Goebel, Hans H., Peter Vogel, & M. Gabriel. (1986). Neuropathologic and morphometric studies in hereditary motor and sensory neuropathy type II with neurofilament accumulation. Neurological Sciences. 7(3). 325–332. 7 indexed citations
17.
Gabriel, M., D. H. Hunneman, & Manfred Gahr. (1983). Plasma Levels of Catecholamine Metabolites in the Newborn Period. Neonatology. 44(4). 203–209. 6 indexed citations
18.
Prindull, G., et al.. (1982). A comparison of spontaneous and CSF added CFU-MG colony formation in healthy, sick and hypotrophic pre-term infants. Annals of Hematology. 45(3). 167–170. 2 indexed citations
19.
Prindull, G., et al.. (1981). Circulating myelopoietic stem cells (CFUc): High levels in healthy pre-term infants and reduced levels in sick pre-term infants. Annals of Hematology. 43(2). 109–111. 5 indexed citations
20.
Gabriel, M.. (1977). [Factors causing apneas in otherwise healthy newborns: a neurophysiological Concept (author's transl)].. PubMed. 125(4). 181–4. 2 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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