Walter Mancia

1.7k total citations · 2 hit papers
9 papers, 1.0k citations indexed

About

Walter Mancia is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Walter Mancia has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Developmental Neuroscience. Recurrent topics in Walter Mancia's work include RNA Research and Splicing (4 papers), Single-cell and spatial transcriptomics (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Walter Mancia is often cited by papers focused on RNA Research and Splicing (4 papers), Single-cell and spatial transcriptomics (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Walter Mancia collaborates with scholars based in United States, Spain and Germany. Walter Mancia's co-authors include Tomasz J. Nowakowski, Arnold R. Kriegstein, Alex A. Pollen, Denise E. Allen, Julien Spatazza, David Shin, Madeline G. Andrews, Salma Jahan, Galina Schmunk and Dana Jung and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Neuroscience.

In The Last Decade

Walter Mancia

9 papers receiving 1.0k citations

Hit Papers

Zika virus cell tropism in the developing human brain and... 2016 2026 2019 2022 2016 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Walter Mancia United States 6 555 247 215 155 103 9 1.0k
Marina Bershteyn United States 9 687 1.2× 220 0.9× 293 1.4× 209 1.3× 119 1.2× 9 1.2k
Pablo Trindade Brazil 10 415 0.7× 380 1.5× 542 2.5× 124 0.8× 144 1.4× 16 1.2k
Junling Gao United States 17 466 0.8× 344 1.4× 406 1.9× 206 1.3× 234 2.3× 30 1.4k
Maxim M. Bespalov Finland 15 474 0.9× 138 0.6× 125 0.6× 157 1.0× 391 3.8× 21 1.0k
Clayton W. Winkler United States 16 207 0.4× 289 1.2× 288 1.3× 53 0.3× 114 1.1× 35 818
Corri B. Levine United States 12 390 0.7× 186 0.8× 26 0.1× 261 1.7× 117 1.1× 32 869
Huiping Dong United States 9 277 0.5× 425 1.7× 59 0.3× 42 0.3× 184 1.8× 13 1.3k
Shalini Kumar United States 18 388 0.7× 377 1.5× 131 0.6× 297 1.9× 234 2.3× 40 1.4k
Fabiele Baldino Russo Brazil 13 212 0.4× 93 0.4× 145 0.7× 60 0.4× 85 0.8× 25 536
Christian Alfano France 13 266 0.5× 120 0.5× 170 0.8× 145 0.9× 168 1.6× 17 615

Countries citing papers authored by Walter Mancia

Since Specialization
Citations

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

Fields of papers citing papers by Walter Mancia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Walter Mancia

This figure shows the co-authorship network connecting the top 25 collaborators of Walter Mancia. A scholar is included among the top collaborators of Walter Mancia 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 Walter Mancia. Walter Mancia 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.
Xie, Yajun, Christopher M. Reid, Miguel Turrero Garcίa, et al.. (2025). Astrocyte specification in the mouse septum is shaped by both developmental origin and local signals. Nature Neuroscience. 28(8). 1676–1687. 2 indexed citations
2.
Cebrián‐Silla, Arantxa, Marcos Assis Nascimento, Walter Mancia, et al.. (2025). Neural stem cell relay from B1 to B2 cells in the adult mouse ventricular-subventricular zone. Cell Reports. 44(3). 115264–115264. 1 indexed citations
3.
Mancia, Walter, Benjamin Rakela, Andrea R. Hasenstaub, et al.. (2024). The clustered gamma protocadherin PcdhγC4 isoform regulates cortical interneuron programmed cell death in the mouse cortex. Proceedings of the National Academy of Sciences. 121(6). e2313596120–e2313596120. 2 indexed citations
4.
Delgado, Ryan N., Denise E. Allen, Matthew G. Keefe, et al.. (2021). Individual human cortical progenitors can produce excitatory and inhibitory neurons. Nature. 601(7893). 397–403. 103 indexed citations
5.
Bhaduri, Aparna, Madeline G. Andrews, Walter Mancia, et al.. (2020). Cell stress in cortical organoids impairs molecular subtype specification. Nature. 578(7793). 142–148. 357 indexed citations breakdown →
6.
Pandya‐Jones, Amy, Yolanda Markaki, Jacques Serizay, et al.. (2020). A protein assembly mediates Xist localization and gene silencing. Nature. 587(7832). 145–151. 137 indexed citations
7.
Mancia, Walter, Julien Spatazza, Benjamin Rakela, et al.. (2020). Clustered gamma-protocadherins regulate cortical interneuron programmed cell death. eLife. 9. 32 indexed citations
8.
Spatazza, Julien, Walter Mancia, & Arturo Álvarez-Buylla. (2017). Transplantation of GABAergic interneurons for cell-based therapy. Progress in brain research. 231. 57–85. 17 indexed citations
9.
Retallack, Hanna, Elizabeth Di Lullo, Carolina Arias, et al.. (2016). Zika virus cell tropism in the developing human brain and inhibition by azithromycin. Proceedings of the National Academy of Sciences. 113(50). 14408–14413. 365 indexed citations breakdown →

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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