Mercedes Beyna

2.0k total citations
9 papers, 1.6k citations indexed

About

Mercedes Beyna is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mercedes Beyna has authored 9 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mercedes Beyna's work include Hedgehog Signaling Pathway Studies (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). Mercedes Beyna is often cited by papers focused on Hedgehog Signaling Pathway Studies (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). Mercedes Beyna collaborates with scholars based in United States, France and United Kingdom. Mercedes Beyna's co-authors include Michela Noseda, Antonio Iavarone, Anna Lasorella, Ariel Ruiz i Altaba, Pilar Sánchez‐Gómez, Howard L. Weiner, Nadia Dahmane, Verónica Palma, Yorick Gitton and Barbara Stecca and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Mercedes Beyna

8 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
Mercedes Beyna United States 7 1.2k 407 209 150 137 9 1.6k
Angelo Raggioli Germany 6 488 0.4× 118 0.3× 66 0.3× 168 1.1× 93 0.7× 8 1.2k
Peter H. Larsen Canada 19 762 0.6× 393 1.0× 157 0.8× 433 2.9× 484 3.5× 28 2.1k
Adam P. Croft United Kingdom 22 442 0.4× 145 0.4× 73 0.3× 231 1.5× 112 0.8× 48 1.4k
Gilmor I. Keshet Israel 14 1.2k 1.0× 197 0.5× 91 0.4× 435 2.9× 100 0.7× 16 2.2k
Silvia Maretto Italy 9 1.3k 1.0× 183 0.4× 324 1.6× 274 1.8× 90 0.7× 9 1.6k
Kazuo Washiyama Japan 23 791 0.6× 187 0.5× 184 0.9× 365 2.4× 189 1.4× 60 1.5k
Sanja Ivković Serbia 15 1.0k 0.8× 77 0.2× 186 0.9× 373 2.5× 105 0.8× 37 1.6k
Josée Prud’homme Canada 13 490 0.4× 129 0.3× 154 0.7× 114 0.8× 57 0.4× 14 1.1k
Thaddeus J. Unger United States 15 775 0.6× 306 0.8× 76 0.4× 178 1.2× 53 0.4× 17 1.4k
Claire Magnon France 15 546 0.4× 375 0.9× 71 0.3× 443 3.0× 199 1.5× 23 1.8k

Countries citing papers authored by Mercedes Beyna

Since Specialization
Citations

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

Fields of papers citing papers by Mercedes Beyna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mercedes Beyna

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

All Works

9 of 9 papers shown
1.
O’Sullivan, Niamh C., Mercedes Beyna, Menelas N. Pangalos, et al.. (2024). Midkine is upregulated in the hippocampus following both spatial and olfactory reward association learning and enhances memory. Journal of Neurochemistry. 168(9). 2832–2847.
2.
Dresselhaus, Erica C., James M. Duerr, Fabien Vincent, et al.. (2018). Class I HDAC inhibition is a novel pathway for regulating astrocytic apoE secretion. PLoS ONE. 13(3). e0194661–e0194661. 16 indexed citations
3.
Modi, Meera E., Julie M. Brooks, Edward Guilmette, et al.. (2018). Hyperactivity and Hypermotivation Associated With Increased Striatal mGluR1 Signaling in a Shank2 Rat Model of Autism. Frontiers in Molecular Neuroscience. 11. 107–107. 28 indexed citations
4.
Ramaswamy, Gayathri, Mercedes Beyna, James M. Duerr, et al.. (2013). P4–335: A novel LXRα‐ or RX‐independent mechanism for increasing brain APOE levels. Alzheimer s & Dementia. 9(4S_Part_22). 1 indexed citations
5.
Rizzo, Stacey J. Sukoff, Sarah J. Neal Webb, Zoë A. Hughes, et al.. (2012). Evidence for sustained elevation of IL-6 in the CNS as a key contributor of depressive-like phenotypes. Translational Psychiatry. 2(12). e199–e199. 195 indexed citations
6.
Arévalo, Juan Carlos, Janelle Waite, Rithwick Rajagopal, et al.. (2006). Cell Survival through Trk Neurotrophin Receptors Is Differentially Regulated by Ubiquitination. Neuron. 50(4). 549–559. 156 indexed citations
7.
Sánchez‐Gómez, Pilar, Ana Hernández, Barbara Stecca, et al.. (2004). Inhibition of prostate cancer proliferation by interference with SONIC HEDGEHOG-GLI1 signaling. Proceedings of the National Academy of Sciences. 101(34). 12561–12566. 423 indexed citations
8.
Dahmane, Nadia, Pilar Sánchez‐Gómez, Yorick Gitton, et al.. (2001). The Sonic Hedgehog-Gli pathway regulates dorsal brain growth and tumorigenesis. Development. 128(24). 5201–5212. 392 indexed citations
9.
Lasorella, Anna, Michela Noseda, Mercedes Beyna, & Antonio Iavarone. (2000). Id2 is a retinoblastoma protein target and mediates signalling by Myc oncoproteins. Nature. 407(6804). 592–598. 420 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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