Danielle Feldman

824 total citations
9 papers, 560 citations indexed

About

Danielle Feldman is a scholar working on Genetics, Molecular Biology and Occupational Therapy. According to data from OpenAlex, Danielle Feldman has authored 9 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Molecular Biology and 1 paper in Occupational Therapy. Recurrent topics in Danielle Feldman's work include Genetics and Neurodevelopmental Disorders (7 papers), Epigenetics and DNA Methylation (2 papers) and Pluripotent Stem Cells Research (1 paper). Danielle Feldman is often cited by papers focused on Genetics and Neurodevelopmental Disorders (7 papers), Epigenetics and DNA Methylation (2 papers) and Pluripotent Stem Cells Research (1 paper). Danielle Feldman collaborates with scholars based in United States, Canada and Switzerland. Danielle Feldman's co-authors include Mriganka Sur, Rudolf Jaenisch, Showming Kwok, Yun Li, Abhishek Banerjee, Jacque Pak Kan Ip, Stephanie Chou, Qing Gao, Maisam Mitalipova and Dirk Hockemeyer and has published in prestigious journals such as The Journal of Immunology, Cell stem cell and Molecular Psychiatry.

In The Last Decade

Danielle Feldman

9 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danielle Feldman United States	6	416	316	161	73	60	9	560
Showming Kwok United States	8	615 1.5×	451 1.4×	227 1.4×	87 1.2×	59 1.0×	9	827
Aaron Cheung Canada	9	656 1.6×	326 1.0×	151 0.9×	64 0.9×	94 1.6×	12	777
Thomas F. Allison United Kingdom	7	345 0.8×	71 0.2×	57 0.4×	52 0.7×	63 1.1×	10	508
Angela Maria Peer Austria	7	455 1.1×	78 0.2×	63 0.4×	116 1.6×	138 2.3×	7	586
Paula Freire-Pritchett United Kingdom	10	691 1.7×	126 0.4×	50 0.3×	56 0.8×	21 0.3×	11	831
Iván Navarro-Quiroga United States	12	349 0.8×	140 0.4×	60 0.4×	160 2.2×	47 0.8×	12	574
Alina Piekna Canada	9	319 0.8×	203 0.6×	123 0.8×	38 0.5×	18 0.3×	11	433
Ábel Vértesy Austria	9	310 0.7×	80 0.3×	49 0.3×	50 0.7×	43 0.7×	12	437
Ilaria Chiaradia United Kingdom	4	245 0.6×	68 0.2×	60 0.4×	57 0.8×	78 1.3×	4	384
Kristin G. Beaumont United States	10	385 0.9×	81 0.3×	42 0.3×	57 0.8×	52 0.9×	35	562

Countries citing papers authored by Danielle Feldman

Since Specialization

Citations

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

Fields of papers citing papers by Danielle Feldman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Feldman

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

All Works

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9 of 9 papers shown

Shokhen, Michael, Randall S. Walikonis, Vladimir N. Uversky, et al.. (2023). Molecular modeling of ARF6 dysregulation caused by mutations in IQSEC2. Journal of Biomolecular Structure and Dynamics. 42(3). 1268–1279. 3 indexed citations

Yıldırım, Murat, Chloé Delépine, Danielle Feldman, et al.. (2022). Label-free three-photon imaging of intact human cerebral organoids for tracking early events in brain development and deficits in Rett syndrome. eLife. 11. 27 indexed citations

Mellios, Nikolaos, Danielle Feldman, Steven D. Sheridan, et al.. (2018). Human cerebral organoids reveal deficits in neurogenesis and neuronal migration in MeCP2-deficient neural progenitors. Molecular Psychiatry. 23(4). 791–791. 12 indexed citations

Mellios, Nikolaos, Danielle Feldman, Steven D. Sheridan, et al.. (2017). MeCP2-regulated miRNAs control early human neurogenesis through differential effects on ERK and AKT signaling. Molecular Psychiatry. 23(4). 1051–1065. 205 indexed citations

Yıldırım, Murat, Danielle Feldman, Tianyu Wang, et al.. (2017). Third harmonic generation imaging of intact human cerebral organoids to assess key components of early neurogenesis in Rett Syndrome (Conference Presentation). 9–9. 1 indexed citations

Feldman, Danielle, Abhishek Banerjee, & Mriganka Sur. (2016). Developmental Dynamics of Rett Syndrome. Neural Plasticity. 2016. 1–9. 53 indexed citations

Li, Yun, Haoyi Wang, Julien Muffat, et al.. (2013). Global Transcriptional and Translational Repression in Human-Embryonic-Stem-Cell-Derived Rett Syndrome Neurons. Cell stem cell. 13(4). 446–458. 243 indexed citations

Treszezamsky, Alejandro D., et al.. (2011). Concurrent Postpartum Uterine and Abdominal Wall Dehiscence and Streptococcus anginosus Infection. Obstetrics and Gynecology. 118(2). 449–451. 2 indexed citations

Li, Fubin, et al.. (2010). Comparison of Identical and Functional Igh Alleles Reveals a Nonessential Role for Eμ in Somatic Hypermutation and Class-Switch Recombination. The Journal of Immunology. 185(10). 6049–6057. 14 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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