Marcelo N. Rivolta

1.9k total citations
46 papers, 1.4k citations indexed

About

Marcelo N. Rivolta is a scholar working on Sensory Systems, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Marcelo N. Rivolta has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Sensory Systems, 22 papers in Molecular Biology and 9 papers in Cognitive Neuroscience. Recurrent topics in Marcelo N. Rivolta's work include Hearing, Cochlea, Tinnitus, Genetics (33 papers), Hearing Loss and Rehabilitation (9 papers) and Congenital heart defects research (7 papers). Marcelo N. Rivolta is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (33 papers), Hearing Loss and Rehabilitation (9 papers) and Congenital heart defects research (7 papers). Marcelo N. Rivolta collaborates with scholars based in United Kingdom, United States and Netherlands. Marcelo N. Rivolta's co-authors include Matthew C. Holley, Walter Marcotti, Leïla Abbas, Stuart L. Johnson, H. D. M. Moore, Patrick Lawlor, Nopporn Jongkamonwiwat, Peter W. Andrews, Stephanie Kuhn and Marta Milo and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Neuroscience.

In The Last Decade

Marcelo N. Rivolta

46 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcelo N. Rivolta United Kingdom 22 950 664 279 164 154 46 1.4k
Thomas Van De Water United States 17 804 0.8× 444 0.7× 249 0.9× 224 1.4× 216 1.4× 27 1.4k
Fuxin Shi United States 17 789 0.8× 599 0.9× 264 0.9× 69 0.4× 146 0.9× 21 1.3k
Yong Tao China 29 646 0.7× 1.4k 2.1× 382 1.4× 151 0.9× 174 1.1× 81 2.5k
Lisa A. Beyer United States 23 899 0.9× 431 0.6× 325 1.2× 104 0.6× 245 1.6× 41 1.3k
Angelika Doetzlhofer United States 18 1.1k 1.1× 1.1k 1.7× 305 1.1× 91 0.6× 82 0.5× 24 1.9k
Graham Nevill United Kingdom 14 1.2k 1.3× 624 0.9× 295 1.1× 65 0.4× 297 1.9× 17 1.5k
Hainan Lang United States 26 1.3k 1.4× 484 0.7× 647 2.3× 132 0.8× 471 3.1× 47 1.8k
Isabelle Perfettini France 14 1.1k 1.2× 1.1k 1.6× 283 1.0× 180 1.1× 346 2.2× 17 1.8k
Jieyu Qi China 20 938 1.0× 703 1.1× 210 0.8× 158 1.0× 259 1.7× 52 1.5k

Countries citing papers authored by Marcelo N. Rivolta

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo N. Rivolta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo N. Rivolta. 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 Marcelo N. Rivolta. The network helps show where Marcelo N. Rivolta may publish in the future.

Co-authorship network of co-authors of Marcelo N. Rivolta

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo N. Rivolta. A scholar is included among the top collaborators of Marcelo N. Rivolta 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 Marcelo N. Rivolta. Marcelo N. Rivolta 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.
Li, Hao, Sumit Agrawal, Seyed Alireza Rohani, et al.. (2022). Unlocking the human inner ear for therapeutic intervention. Scientific Reports. 12(1). 18508–18508. 7 indexed citations
2.
Boissonade, Fiona M., et al.. (2020). Establishment and neural differentiation of neural crest-derived stem cells from human dental pulp in serum-free conditions. Stem Cells Translational Medicine. 9(11). 1462–1476. 27 indexed citations
3.
Abbas, Leïla & Marcelo N. Rivolta. (2015). Aminoglycoside ototoxicity and hair cell ablation in the adult gerbil: A simple model to study hair cell loss and regeneration. Hearing Research. 325. 12–26. 30 indexed citations
4.
Rivolta, Marcelo N.. (2012). New strategies for the restoration of hearing loss: challenges and opportunities. British Medical Bulletin. 105(1). 69–84. 13 indexed citations
5.
Alonso, María Beatriz Durán, Estela Carnicero, Javier García‐Sancho, et al.. (2012). Generation of Inner Ear Sensory Cells from Bone Marrow-Derived Human Mesenchymal Stem Cells. Regenerative Medicine. 7(6). 769–783. 31 indexed citations
6.
7.
Milo, Marta, et al.. (2009). Genomic Analysis of the Function of the Transcription Factor gata3 during Development of the Mammalian Inner Ear. PLoS ONE. 4(9). e7144–e7144. 34 indexed citations
8.
Johnson, Stuart L., Christoph Franz, Stephanie Kuhn, et al.. (2009). Synaptotagmin IV determines the linear Ca2+ dependence of vesicle fusion at auditory ribbon synapses. Nature Neuroscience. 13(1). 45–52. 97 indexed citations
9.
Chen, Wei, et al.. (2007). The human fetal cochlea can be a source for auditory progenitors/stem cells isolation. Hearing Research. 233(1-2). 23–29. 23 indexed citations
10.
Rivolta, Marcelo N., et al.. (2004). GATA3 and NeuroD distinguish auditory and vestibular neurons during development of the mammalian inner ear. Mechanisms of Development. 121(3). 287–299. 83 indexed citations
11.
Rivolta, Marcelo N., Antony Halsall, Claire M. Johnson, Michael A. Tones, & Matthew C. Holley. (2002). Transcript Profiling of Functionally Related Groups of Genes During Conditional Differentiation of a Mammalian Cochlear Hair Cell Line. Genome Research. 12(7). 1091–1099. 45 indexed citations
12.
Kennedy, Helen J., et al.. (2002). E-cadherin and the Differentiation of Mammalian Vestibular Hair Cells. Experimental Cell Research. 278(1). 19–30. 22 indexed citations
13.
Rivolta, Marcelo N. & Matthew C. Holley. (2002). Cell lines in inner ear research. Journal of Neurobiology. 53(2). 306–318. 54 indexed citations
14.
Rivolta, Marcelo N., et al.. (2000). Identification of differentiating cochlear hair cells in vitro. American Journal of Otolaryngology. 21(1). 130–134. 6 indexed citations
15.
Rivolta, Marcelo N., et al.. (2000). Notch Signaling and the Emergence of Auditory Hair Cells. Archives of Otolaryngology - Head and Neck Surgery. 126(10). 1244–1244. 7 indexed citations
16.
Rivolta, Marcelo N., et al.. (1996). A novel zinc finger gene preferentially expressed in the retina and the organ of Corti localizes to human chromosome 12q24.3. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1306(2-3). 127–132. 6 indexed citations
17.
Rivolta, Marcelo N., Raúl Urrutia, & Bechara Kachar. (1995). A soluble motor from the alga Nitella supports fast movement of actin filaments in vitro. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1232(1-2). 1–4. 13 indexed citations
18.
Rivolta, Marcelo N. & Edward R. Wilcox. (1995). A novel and simple methodology to generate subtracted cDNA libraries. Nucleic Acids Research. 23(13). 2565–2566. 8 indexed citations
19.
Kachar, Bechara, Raúl Urrutia, Marcelo N. Rivolta, & Mark A. McNiven. (1993). Chapter 13 Myosin-Mediated Vesicular Transport in the Extruded Cytoplasm of Characean Algae Cells. Methods in cell biology. 39. 179–190. 4 indexed citations
20.
Wilcox, Edward R., Marcelo N. Rivolta, Barbara Ploplis, S. Brian Potterf, & Jörgen Fex. (1992). The PAX3 gene is mapped to human chromosome 2 together with a highly informative CA dinucleotide repeat. Human Molecular Genetics. 1(3). 215–215. 21 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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