Anca M. Pașca

5.2k total citations · 3 hit papers
20 papers, 3.3k citations indexed

About

Anca M. Pașca is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Anca M. Pașca has authored 20 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Pediatrics, Perinatology and Child Health and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Anca M. Pașca's work include Pluripotent Stem Cells Research (4 papers), Single-cell and spatial transcriptomics (4 papers) and Neonatal Respiratory Health Research (4 papers). Anca M. Pașca is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), Single-cell and spatial transcriptomics (4 papers) and Neonatal Respiratory Health Research (4 papers). Anca M. Pașca collaborates with scholars based in United States, Germany and South Korea. Anca M. Pașca's co-authors include Sergiu P. Pașca, Daniel H. Geschwind, Steven A. Sloan, Masayuki Yazawa, Joachim Hallmayer, Jonathan A. Bernstein, Ricardo E. Dolmetsch, John R. Huguenard, Jimena Andersen and Nina Huber and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Anca M. Pașca

19 papers receiving 3.2k citations

Hit Papers

Functional cortical neurons and astrocytes from human plu... 2011 2026 2016 2021 2015 2011 2021 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anca M. Pașca United States 15 2.4k 855 774 607 331 20 3.3k
Christopher D. Makinson United States 14 1.8k 0.8× 914 1.1× 715 0.9× 557 0.9× 288 0.9× 24 2.7k
Allison D. Ebert United States 30 2.6k 1.1× 839 1.0× 396 0.5× 421 0.7× 293 0.9× 65 3.4k
Sarah E. Newey United Kingdom 24 2.7k 1.1× 1.4k 1.6× 177 0.2× 391 0.6× 503 1.5× 32 4.0k
Mirella Dottori Australia 31 2.2k 0.9× 1.4k 1.6× 312 0.4× 663 1.1× 294 0.9× 96 3.3k
Perry B. Shieh United States 27 1.7k 0.7× 791 0.9× 145 0.2× 238 0.4× 320 1.0× 106 2.8k
Gihan Tennekoon United States 30 1.6k 0.7× 1.5k 1.7× 214 0.3× 584 1.0× 165 0.5× 69 3.2k
Kathie M. Bishop United States 25 2.6k 1.1× 1.1k 1.3× 126 0.2× 510 0.8× 648 2.0× 53 4.2k
Anita Bhattacharyya United States 31 2.1k 0.9× 1.4k 1.6× 179 0.2× 642 1.1× 704 2.1× 67 3.5k
Diana Yu United States 14 2.0k 0.8× 700 0.8× 325 0.4× 460 0.8× 617 1.9× 23 2.7k

Countries citing papers authored by Anca M. Pașca

Since Specialization
Citations

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

Fields of papers citing papers by Anca M. Pașca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anca M. Pașca

This figure shows the co-authorship network connecting the top 25 collaborators of Anca M. Pașca. A scholar is included among the top collaborators of Anca M. Pașca 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 Anca M. Pașca. Anca M. Pașca 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.
Stevenson, David K., Ronald J. Wong, Jonathan D. Reiss, et al.. (2025). A clinician’s musings on oxygen: Too little or too much with life in the balance. Journal of Perinatology. 45(11). 1649–1652.
2.
Kim, Ji‐il, Yuki Miura, Min-Yin Li, et al.. (2024). Human assembloids reveal the consequences of CACNA1G gene variants in the thalamocortical pathway. Neuron. 112(24). 4048–4059.e7. 23 indexed citations
4.
Pașca, Anca M., et al.. (2023). Anatomical and functional maturation of the mid-gestation human enteric nervous system. Nature Communications. 14(1). 2680–2680. 5 indexed citations
5.
Andersen, Jimena, Jennifer L. Shadrach, Xiaoyu Chen, et al.. (2023). Single-cell transcriptomic landscape of the developing human spinal cord. Nature Neuroscience. 26(5). 902–914. 28 indexed citations
6.
Birey, Fikri, Min-Yin Li, Aaron Gordon, et al.. (2022). Dissecting the molecular basis of human interneuron migration in forebrain assembloids from Timothy syndrome. Cell stem cell. 29(2). 248–264.e7. 91 indexed citations
7.
Coronado, Pamela E. Rios, Mingming Zhao, Martin R. Pfaller, et al.. (2022). Blood flow modeling reveals improved collateral artery performance during the regenerative period in mammalian hearts. Nature Cardiovascular Research. 1(8). 775–790. 11 indexed citations
8.
Michno, Wojciech, Wentao Dong, Yuqin Dai, et al.. (2022). Carnitine octanoyltransferase is important for the assimilation of exogenous acetyl-L-carnitine into acetyl-CoA in mammalian cells. Journal of Biological Chemistry. 299(2). 102848–102848. 12 indexed citations
9.
Reiss, Jonathan D., Laura S. Peterson, Alan L. Chang, et al.. (2022). Perinatal infection, inflammation, preterm birth, and brain injury: A review with proposals for future investigations. Experimental Neurology. 351. 113988–113988. 22 indexed citations
10.
Trevino, Alexandro E., Fabian Müller, Jimena Andersen, et al.. (2021). Chromatin and gene-regulatory dynamics of the developing human cerebral cortex at single-cell resolution. Cell. 184(19). 5053–5069.e23. 219 indexed citations breakdown →
11.
Crary, John F., et al.. (2020). Increased Tau Expression Correlates with Neuronal Maturation in the Developing Human Cerebral Cortex. eNeuro. 7(3). ENEURO.0058–20.2020. 23 indexed citations
12.
Pașca, Anca M., Jin Young Park, Hyun‐Woo Shin, et al.. (2019). Human 3D cellular model of hypoxic brain injury of prematurity. Nature Medicine. 25(5). 784–791. 127 indexed citations
13.
Sloan, Steven A., Jimena Andersen, Anca M. Pașca, Fikri Birey, & Sergiu P. Pașca. (2018). Generation and assembly of human brain region–specific three-dimensional cultures. Nature Protocols. 13(9). 2062–2085. 298 indexed citations
14.
Yoon, Se‐Jin, Anca M. Pașca, Rebecca M. Marton, et al.. (2018). Reliability of human cortical organoid generation. Nature Methods. 16(1). 75–78. 310 indexed citations
15.
Pașca, Anca M., Steven A. Sloan, Laura Clarke, et al.. (2015). Functional cortical neurons and astrocytes from human pluripotent stem cells in 3D culture. Nature Methods. 12(7). 671–678. 1079 indexed citations breakdown →
16.
Penn, Anna A., Wendy A. Koss, Suresh R. Volate, et al.. (2014). Placental hormone contribution to fetal brain damage. Placenta. 35(9). A52–A52. 2 indexed citations
17.
Clark, Catherine L., Anca M. Pașca, Shellie A. Hyde, et al.. (2013). Neonatal CSF oxytocin levels are associated with parent report of infant soothability and sociability. Psychoneuroendocrinology. 38(7). 1208–1212. 46 indexed citations
18.
Yazawa, Masayuki, Brian Hsueh, Xiaolin Jia, et al.. (2011). Using induced pluripotent stem cells to investigate cardiac phenotypes in Timothy syndrome. Nature. 471(7337). 230–234. 496 indexed citations breakdown →
19.
Pașca, Sergiu P., Thomas Portmann, Irina Voineagu, et al.. (2011). Using iPSC-derived neurons to uncover cellular phenotypes associated with Timothy syndrome. Nature Medicine. 17(12). 1657–1662. 435 indexed citations
20.
Pașca, Anca M. & Anna A. Penn. (2010). The Placenta: The Lost Neuroendocrine Organ. NeoReviews. 11(2). e64–e77. 15 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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