Amanda Beccard

813 total citations
8 papers, 550 citations indexed

About

Amanda Beccard is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Amanda Beccard has authored 8 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Physiology. Recurrent topics in Amanda Beccard's work include CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Amanda Beccard is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Amanda Beccard collaborates with scholars based in United States and Japan. Amanda Beccard's co-authors include Todd E. Golde, Paramita Chakrabarty, Dennis W. Dickson, Pritam Das, Carolina Ceballos‐Diaz, Karen Jansen‐West, Abba C. Zubair, Christophe Verbeeck, Yona Levites and Christopher Janus and has published in prestigious journals such as Nature Neuroscience, The Journal of Immunology and Scientific Reports.

In The Last Decade

Amanda Beccard

8 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amanda Beccard United States	7	322	294	155	120	96	8	550
Selina Imboywa United States	4	301 0.9×	363 1.2×	233 1.5×	82 0.7×	108 1.1×	5	625
Mariko Taga United States	12	238 0.7×	235 0.8×	252 1.6×	68 0.6×	76 0.8×	18	541
Russell J. Swan United States	13	262 0.8×	255 0.9×	149 1.0×	90 0.8×	79 0.8×	18	702
Monika Plescher Germany	7	274 0.9×	232 0.8×	206 1.3×	70 0.6×	83 0.9×	7	578
Nadia DiNunno United States	6	265 0.8×	280 1.0×	121 0.8×	114 0.9×	70 0.7×	6	476
Jennifer Alamed United States	7	285 0.9×	498 1.7×	186 1.2×	85 0.7×	40 0.4×	7	666
Nelli Blank Germany	7	255 0.8×	166 0.6×	169 1.1×	53 0.4×	71 0.7×	10	501
Paul J. Cheng United States	5	512 1.6×	281 1.0×	156 1.0×	79 0.7×	264 2.8×	5	828
Alexandra Phillips United Kingdom	5	394 1.2×	199 0.7×	140 0.9×	60 0.5×	205 2.1×	7	585
Stephanie Ziegler‐Waldkirch Germany	7	280 0.9×	252 0.9×	167 1.1×	73 0.6×	101 1.1×	10	504

Countries citing papers authored by Amanda Beccard

Since Specialization

Citations

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

Fields of papers citing papers by Amanda Beccard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda Beccard

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

All Works

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8 of 8 papers shown

Ghosh, Sulagna, Patrizia Mazzucato, Amanda Beccard, et al.. (2022). Molecular convergence between Down syndrome and fragile X syndrome identified using human pluripotent stem cell models. Cell Reports. 40(10). 111312–111312. 9 indexed citations

Fukuda, Atsushi, Dane Z. Hazelbaker, Nami Motosugi, et al.. (2021). De novo DNA methyltransferases DNMT3A and DNMT3B are essential for XIST silencing for erosion of dosage compensation in pluripotent stem cells. Stem Cell Reports. 16(9). 2138–2148. 17 indexed citations

Hazelbaker, Dane Z., et al.. (2020). A multiplexed gRNA piggyBac transposon system facilitates efficient induction of CRISPRi and CRISPRa in human pluripotent stem cells. Scientific Reports. 10(1). 635–635. 30 indexed citations

Arias-García, Mario A., et al.. (2020). FMR1 loss in a human stem cell model reveals early changes to intrinsic membrane excitability. Developmental Biology. 468(1-2). 93–100. 5 indexed citations

Hazelbaker, Dane Z., Amanda Beccard, Patrizia Mazzucato, et al.. (2017). A Scaled Framework for CRISPR Editing of Human Pluripotent Stem Cells to Study Psychiatric Disease. Stem Cell Reports. 9(4). 1315–1327. 10 indexed citations

Chakrabarty, Paramita, Carolina Ceballos‐Diaz, Wen-Lang Lin, et al.. (2011). Interferon-γ induces progressive nigrostriatal degeneration and basal ganglia calcification. Nature Neuroscience. 14(6). 694–696. 62 indexed citations

Chakrabarty, Paramita, Carolina Ceballos‐Diaz, Amanda Beccard, et al.. (2010). IFN-γ Promotes Complement Expression and Attenuates Amyloid Plaque Deposition in Amyloid β Precursor Protein Transgenic Mice. The Journal of Immunology. 184(9). 5333–5343. 156 indexed citations

Chakrabarty, Paramita, Karen Jansen‐West, Amanda Beccard, et al.. (2009). Massive gliosis induced by interleukin‐6 suppresses Aβ deposition in vivo: evidence against inflammation as a driving force for amyloid deposition. The FASEB Journal. 24(2). 548–559. 261 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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