Isabelle Draper

687 total citations
19 papers, 382 citations indexed

About

Isabelle Draper is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Isabelle Draper has authored 19 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Isabelle Draper's work include Muscle Physiology and Disorders (11 papers), RNA Research and Splicing (7 papers) and Genetics and Neurodevelopmental Disorders (5 papers). Isabelle Draper is often cited by papers focused on Muscle Physiology and Disorders (11 papers), RNA Research and Splicing (7 papers) and Genetics and Neurodevelopmental Disorders (5 papers). Isabelle Draper collaborates with scholars based in United States, Japan and India. Isabelle Draper's co-authors include Alan S. Kopin, F. Rob Jackson, Peri T. Kurshan, Edward W. McBride, Peter B. Kang, Christina A. Pacak, Madhurima Saha, Satomi Mitsuhashi, Robert Salomon and Hemakumar M. Reddy and has published in prestigious journals such as FEBS Letters, Human Molecular Genetics and American Journal Of Pathology.

In The Last Decade

Isabelle Draper

18 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabelle Draper United States 12 221 130 91 75 53 19 382
Andriy S. Yatsenko Germany 14 362 1.6× 178 1.4× 86 0.9× 35 0.5× 42 0.8× 21 547
Pengyu Gu China 12 181 0.8× 149 1.1× 64 0.7× 20 0.3× 50 0.9× 20 407
Amparo García-López Spain 7 433 2.0× 288 2.2× 61 0.7× 58 0.8× 16 0.3× 8 577
Ouarda Taghli-Lamallem United States 10 262 1.2× 125 1.0× 52 0.6× 107 1.4× 20 0.4× 15 408
Paul S. Hartley United Kingdom 14 263 1.2× 86 0.7× 92 1.0× 20 0.3× 39 0.7× 26 583
Anton L. Bryantsev United States 16 491 2.2× 122 0.9× 49 0.5× 88 1.2× 47 0.9× 23 610
Stefan Andersson Escher Sweden 10 116 0.5× 38 0.3× 93 1.0× 57 0.8× 159 3.0× 19 425
Janko Gospočić United States 8 242 1.1× 141 1.1× 176 1.9× 146 1.9× 83 1.6× 10 602
Morio Ueyama Japan 14 284 1.3× 224 1.7× 151 1.7× 11 0.1× 140 2.6× 26 629
Jerell R. Aguila United States 8 269 1.2× 114 0.9× 53 0.6× 7 0.1× 85 1.6× 8 493

Countries citing papers authored by Isabelle Draper

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Draper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Draper

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

All Works

19 of 19 papers shown
1.
Pacak, Christina A., et al.. (2025). The impact of Hnrnpl deficiency on transcriptional patterns of developing muscle cells. FEBS Open Bio. 16(1). 178–198.
2.
Draper, Isabelle, Wan‐Ting Huang, Timothy D. Calamaras, et al.. (2024). The splicing factor hnRNPL demonstrates conserved myocardial regulation across species and is altered in heart failure. FEBS Letters. 598(21). 2670–2682. 1 indexed citations
3.
Draper, Isabelle, et al.. (2024). Drosophila noktochor regulates night sleep via a local mushroom body circuit. iScience. 27(3). 109106–109106. 1 indexed citations
4.
Blanton, Robert M., Olga Kashpur, Wei Cui, et al.. (2023). hnRNPL expression dynamics in the embryo and placenta. Gene Expression Patterns. 48. 119319–119319. 3 indexed citations
5.
Draper, Isabelle, et al.. (2022). The Notch signaling pathway in skeletal muscle health and disease. Muscle & Nerve. 66(5). 530–544. 26 indexed citations
6.
Alexander, Matthew S., Lakshmanan K. Iyer, Donna K. Slonim, et al.. (2021). hnRNP L is essential for myogenic differentiation and modulates myotonic dystrophy pathologies. Muscle & Nerve. 63(6). 928–940. 12 indexed citations
7.
Li, Chengcheng, et al.. (2020). Megf10 deficiency impairs skeletal muscle stem cell migration and muscle regeneration. FEBS Open Bio. 11(1). 114–123. 14 indexed citations
8.
Li, Chengcheng, Hemakumar M. Reddy, Elicia Estrella, et al.. (2019). Identification of a pathogenic mutation in ATP2A1 via in silico analysis of exome data for cryptic aberrant splice sites. Molecular Genetics & Genomic Medicine. 7(3). e552–e552. 9 indexed citations
9.
Draper, Isabelle, et al.. (2019). The impact of Megf10/Drpr gain‐of‐function on muscle development in Drosophila. FEBS Letters. 593(7). 680–696. 5 indexed citations
10.
Saha, Madhurima, Katherine E. Santostefano, Naohiro Terada, et al.. (2019). Selective serotonin reuptake inhibitors ameliorate MEGF10 myopathy. Human Molecular Genetics. 28(14). 2365–2377. 11 indexed citations
11.
O’Donohue, Marie-Françoise, Jeffrey J. Widrick, Isabelle Draper, et al.. (2018). RNA helicase, DDX27 regulates skeletal muscle growth and regeneration by modulation of translational processes. PLoS Genetics. 14(3). e1007226–e1007226. 34 indexed citations
12.
Saha, Madhurima, Hemakumar M. Reddy, Mustafa A. Salih, et al.. (2018). Impact of PYROXD1 deficiency on cellular respiration and correlations with genetic analyses of limb-girdle muscular dystrophy in Saudi Arabia and Sudan. Physiological Genomics. 50(11). 929–939. 15 indexed citations
13.
Saha, Madhurima, Satomi Mitsuhashi, Michael D. Jones, et al.. (2017). Consequences of MEGF10 deficiency on myoblast function and Notch1 interactions. Human Molecular Genetics. 26(15). 2984–3000. 33 indexed citations
14.
Regna, Kimberly, Peri T. Kurshan, Adam M. Jenkins, et al.. (2016). A critical role for the Drosophila dopamine D1-like receptor Dop1R2 at the onset of metamorphosis. BMC Developmental Biology. 16(1). 15–15. 25 indexed citations
15.
Draper, Isabelle, et al.. (2014). Targeted inactivation of the rickets receptor in muscle compromises Drosophila viability. Journal of Experimental Biology. 217(22). 4091–4098. 5 indexed citations
16.
Draper, Isabelle, et al.. (2014). Silencing of drpr Leads to Muscle and Brain Degeneration in Adult Drosophila. American Journal Of Pathology. 184(10). 2653–2661. 18 indexed citations
17.
Wooten, Eric C., Virginia B. Hebl, Matthew J. Wolf, et al.. (2012). Formin Homology 2 Domain Containing 3 Variants Associated With Hypertrophic Cardiomyopathy. Circulation Cardiovascular Genetics. 6(1). 10–18. 58 indexed citations
18.
Draper, Isabelle, et al.. (2009). The evolutionarily conserved RNA binding protein SMOOTH is essential for maintaining normal muscle function. Fly. 3(4). 235–246. 13 indexed citations
19.
Draper, Isabelle, Peri T. Kurshan, Edward W. McBride, F. Rob Jackson, & Alan S. Kopin. (2007). Locomotor activity is regulated by D2‐like receptors in Drosophila: An anatomic and functional analysis. Developmental Neurobiology. 67(3). 378–393. 99 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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