Marco R. Celio

16.8k total citations · 6 hit papers
166 papers, 14.4k citations indexed

About

Marco R. Celio is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Marco R. Celio has authored 166 papers receiving a total of 14.4k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 62 papers in Cellular and Molecular Neuroscience and 30 papers in Cell Biology. Recurrent topics in Marco R. Celio's work include Neuroscience and Neuropharmacology Research (48 papers), Neurogenesis and neuroplasticity mechanisms (18 papers) and Neuroinflammation and Neurodegeneration Mechanisms (15 papers). Marco R. Celio is often cited by papers focused on Neuroscience and Neuropharmacology Research (48 papers), Neurogenesis and neuroplasticity mechanisms (18 papers) and Neuroinflammation and Neurodegeneration Mechanisms (15 papers). Marco R. Celio collaborates with scholars based in Switzerland, Germany and United States. Marco R. Celio's co-authors include Claus W. Heizmann, Beat Schwaller, K.G. Baimbridge, John Rogers, Ingmar Blümcke, Christian Andressen, Ingmar Bl�mcke, Anthony W. Norman, Pierre A. de Viragh and Lukas Schärer and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Marco R. Celio

163 papers receiving 14.1k citations

Hit Papers

Calbindin D-28k and parvalbumin in the rat nervous system 1981 2026 1996 2011 1990 1992 2006 1986 1993 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco R. Celio Switzerland 55 7.7k 5.9k 2.5k 1.9k 1.9k 166 14.4k
Claus W. Heizmann Switzerland 78 6.8k 0.9× 13.2k 2.2× 1.9k 0.8× 1.6k 0.9× 1.7k 0.9× 345 21.4k
Leszek Kaczmarek Poland 65 5.8k 0.8× 7.1k 1.2× 2.6k 1.0× 1.7k 0.9× 1.3k 0.7× 295 15.3k
Yasunori Hayashi Japan 54 9.7k 1.3× 7.9k 1.3× 2.8k 1.1× 1.4k 0.7× 1.5k 0.8× 263 16.2k
Tommaso Pizzorusso Italy 49 6.6k 0.9× 4.8k 0.8× 2.6k 1.1× 1.2k 0.7× 1.9k 1.0× 141 11.8k
Märt Saarma Finland 66 10.9k 1.4× 9.0k 1.5× 1.6k 0.7× 1.4k 0.8× 2.2k 1.2× 276 21.5k
Kouichi Hashimoto Japan 58 6.0k 0.8× 4.8k 0.8× 1.5k 0.6× 1.9k 1.0× 919 0.5× 203 11.0k
Sanford L. Palay United States 48 8.0k 1.0× 5.2k 0.9× 1.9k 0.8× 3.5k 1.9× 2.4k 1.3× 75 14.3k
Anirvan Ghosh United States 65 9.4k 1.2× 8.4k 1.4× 2.2k 0.9× 1.2k 0.6× 2.0k 1.1× 100 16.0k
Raymond D. Lund United States 63 8.3k 1.1× 8.0k 1.3× 2.7k 1.1× 1.6k 0.8× 714 0.4× 225 13.9k
Richard Paylor United States 64 7.2k 0.9× 9.4k 1.6× 5.0k 2.0× 1.1k 0.6× 1.2k 0.7× 115 17.7k

Countries citing papers authored by Marco R. Celio

Since Specialization
Citations

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

Fields of papers citing papers by Marco R. Celio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco R. Celio. 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 Marco R. Celio. The network helps show where Marco R. Celio may publish in the future.

Co-authorship network of co-authors of Marco R. Celio

This figure shows the co-authorship network connecting the top 25 collaborators of Marco R. Celio. A scholar is included among the top collaborators of Marco R. Celio 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 Marco R. Celio. Marco R. Celio 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
3.
Girard, F, et al.. (2022). The PV2 cluster of parvalbumin neurons in the murine periaqueductal gray: connections and gene expression. Brain Structure and Function. 227(6). 2049–2072.
4.
Álvarez‐Bolado, Gonzalo, et al.. (2016). Birthdate of parvalbumin-neurons in the Parvafox-nucleus of the lateral hypothalamus. Brain Research. 1633. 111–114. 2 indexed citations
5.
Celio, Marco R., et al.. (2007). The human lateral tuberal nucleus: Immunohistochemical characterization and analogy to the rodent PV1-nucleus. Brain Research. 1139. 110–116. 13 indexed citations
7.
Schwaller, Beat, Igor V. Tetko, Poonam Tandon, et al.. (2004). Parvalbumin deficiency affects network properties resulting in increased susceptibility to epileptic seizures. Molecular and Cellular Neuroscience. 25(4). 650–663. 141 indexed citations
8.
Schubert, Stephan, Gisela Stoltenburg‐Didinger, Michael Huebler, et al.. (2003). Release patterns of astrocytic and neuronal biochemical markers in serum during and after experimental settings of cardiac surgery. Restorative Neurology and Neuroscience. 21(3-4). 141–150. 11 indexed citations
9.
Raymackers, Jean‐Marc, Philippe Gailly, M. Colson‐Van Schoor, et al.. (2000). Tetanus relaxation of fast skeletal muscles of the mouse made parvalbumin deficient by gene inactivation. The Journal of Physiology. 527(2). 355–364. 51 indexed citations
10.
Schwaller, Beat, et al.. (2000). Alterations in Purkinje cell spines of calbindin D‐28 k and parvalbumin knock‐out mice. European Journal of Neuroscience. 12(3). 945–954. 91 indexed citations
11.
Wintergerst, Eva S., Andréas Faissner, & Marco R. Celio. (1996). THE PROTEOGLYCAN DSD‐1‐PG OCCURS IN PERINEURONAL NETS AROUND PARVALBUMIN‐IMMUNOREACTIVE INTERNEURONS OF THE RAT CEREBRAL CORTEX. International Journal of Developmental Neuroscience. 14(3). 249–255. 41 indexed citations
12.
Gotzos, V., Peter Vogt, & Marco R. Celio. (1996). The Calcium Binding Protein Calretinin is a Selective Marker for Malignant Pleural Mesotheliomas of the Epithelial Type. Pathology - Research and Practice. 192(2). 137–147. 104 indexed citations
13.
Celio, Marco R.. (1996). Guidebook to the Calcium-binding Proteins. 148 indexed citations
14.
Sanna, Pietro Paolo, Kent T. Keyser, Marco R. Celio, Harvey J. Karten, & Floyd E. Bloom. (1993). Distribution of parvalbumin immunoreactivity in the vertebrate retina. Brain Research. 600(1). 141–150. 64 indexed citations
15.
Celio, Marco R. & Ruth Chiquet‐Ehrismann. (1993). ‘Perineuronal nets’ around cortical interneurons expressing parvalbumin are rich in tenascin. Neuroscience Letters. 162(1-2). 137–140. 62 indexed citations
16.
Hornung, Jean‐Pierre & Marco R. Celio. (1992). The Selective innervation by serotoninergic axons of calbindin‐containing interneurons in the neocortex and hippocampus of the marmoset. The Journal of Comparative Neurology. 320(4). 457–467. 81 indexed citations
17.
Baimbridge, K.G., Marco R. Celio, & John Rogers. (1992). Calcium-binding proteins in the nervous system. Trends in Neurosciences. 15(8). 303–308. 1179 indexed citations breakdown →
18.
Blümcke, Ingmar, Patrick R. Hof, John H. Morrison, & Marco R. Celio. (1990). Distribution of parvalbumin immunoreactivity in the visual cortex of Old World monkeys and humans. The Journal of Comparative Neurology. 301(3). 417–432. 148 indexed citations
19.
Zilla, Peter, et al.. (1985). Ectopic Parvalbumin-Positive Cells in the Cerebellum of the Adult Mutant Mouse ‘Nervous’. Cells Tissues Organs. 124(3-4). 181–187. 5 indexed citations
20.
Inagami, Tadashi, Daniel L. Clemens, Marco R. Celio, et al.. (1980). Immunohistochemical localization of renin in mouse brain. Neuroscience Letters. 18(1). 91–98. 30 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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