Frances Lefcort

2.5k total citations
54 papers, 2.0k citations indexed

About

Frances Lefcort is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Frances Lefcort has authored 54 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cellular and Molecular Neuroscience, 25 papers in Molecular Biology and 17 papers in Cell Biology. Recurrent topics in Frances Lefcort's work include Axon Guidance and Neuronal Signaling (18 papers), Hereditary Neurological Disorders (16 papers) and Nerve injury and regeneration (13 papers). Frances Lefcort is often cited by papers focused on Axon Guidance and Neuronal Signaling (18 papers), Hereditary Neurological Disorders (16 papers) and Nerve injury and regeneration (13 papers). Frances Lefcort collaborates with scholars based in United States, Sweden and Italy. Frances Lefcort's co-authors include Louis F. Reichardt, Jennifer C. Kasemeier‐Kulesa, Paul M. Kulesa, Douglas O. Clary, Paul C. Letourneau, Gianluca Gallo, Lynn George, Martha Chaverra, Kristine Venstrom and John A. McDonald and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Frances Lefcort

52 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frances Lefcort United States 27 1.4k 1.0k 496 468 126 54 2.0k
Patrice Maurel United States 18 915 0.7× 840 0.8× 373 0.8× 680 1.5× 91 0.7× 27 1.7k
Elizabeth M. Muir United Kingdom 24 1.5k 1.1× 810 0.8× 631 1.3× 561 1.2× 75 0.6× 46 2.3k
Tatsumi Hirata Japan 27 1.5k 1.1× 1.1k 1.1× 675 1.4× 352 0.8× 115 0.9× 79 2.3k
Ysander von Boxberg France 22 813 0.6× 602 0.6× 320 0.6× 355 0.8× 67 0.5× 36 1.5k
JR Sanes United States 15 887 0.7× 1.3k 1.3× 571 1.2× 390 0.8× 98 0.8× 17 2.0k
Horst H. Simon Germany 23 1.4k 1.0× 2.3k 2.3× 518 1.0× 363 0.8× 95 0.8× 30 3.6k
Sigrid Henke‐Fahle Germany 21 853 0.6× 922 0.9× 402 0.8× 349 0.7× 63 0.5× 37 2.1k
Dino P. Leone United States 16 786 0.6× 1.0k 1.0× 773 1.6× 314 0.7× 86 0.7× 19 1.9k
Monte Gates United Kingdom 19 979 0.7× 914 0.9× 984 2.0× 396 0.8× 89 0.7× 38 1.9k
Fatiha Nothias France 29 1.3k 1.0× 725 0.7× 537 1.1× 563 1.2× 256 2.0× 62 2.2k

Countries citing papers authored by Frances Lefcort

Since Specialization
Citations

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

Fields of papers citing papers by Frances Lefcort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frances Lefcort

This figure shows the co-authorship network connecting the top 25 collaborators of Frances Lefcort. A scholar is included among the top collaborators of Frances Lefcort 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 Frances Lefcort. Frances Lefcort 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.
Morgan, Jamie, Diane C. Darland, Alejandra González‐Duarte, et al.. (2024). Neuronal and glial cell alterations involved in the retinal degeneration of the familial dysautonomia optic neuropathy. Glia. 72(12). 2268–2294.
2.
3.
Broadaway, Susan C., Brian Tripet, Douglas J. Kominsky, et al.. (2023). Gut microbiome dysbiosis drives metabolic dysfunction in Familial dysautonomia. Nature Communications. 14(1). 218–218. 14 indexed citations
4.
Chaverra, Martha, et al.. (2022). Elp1 is required for development of visceral sensory peripheral and central circuitry. Disease Models & Mechanisms. 15(5). 6 indexed citations
5.
Lefcort, Frances, et al.. (2022). Loss of Elp1 disrupts trigeminal ganglion neurodevelopment in a model of familial dysautonomia. eLife. 11. 8 indexed citations
6.
Sherk, Vanessa D., et al.. (2021). Bone biomechanical properties and tissue-scale bone quality in a genetic mouse model of familial dysautonomia. Osteoporosis International. 32(11). 2335–2346. 4 indexed citations
7.
Lefcort, Frances, Yongqing Zhang, Elin Lehrmann, et al.. (2018). Elongator and codon bias regulate protein levels in mammalian peripheral neurons. Nature Communications. 9(1). 889–889. 50 indexed citations
8.
Chaverra, Martha, Lynn George, Yumi Ueki, et al.. (2017). The Familial Dysautonomia disease gene,Ikbkap/Elp1, is required in the developing and adult central nervous system. Disease Models & Mechanisms. 10(5). 605–618. 23 indexed citations
9.
Lefcort, Frances, et al.. (2017). Animal and cellular models of familial dysautonomia. Clinical Autonomic Research. 27(4). 235–243. 19 indexed citations
10.
George, Lynn, Barbara J. Hunnicutt, Michael B. Filla, et al.. (2016). In vivo time-lapse imaging reveals extensive neural crest and endothelial cell interactions during neural crest migration and formation of the dorsal root and sympathetic ganglia. Developmental Biology. 413(1). 70–85. 15 indexed citations
11.
George, Lynn, et al.. (2013). Familial dysautonomia model reveals Ikbkap deletion causes apoptosis of Pax3 + progenitors and peripheral neurons. Proceedings of the National Academy of Sciences. 110(46). 18698–18703. 60 indexed citations
12.
Kasemeier‐Kulesa, Jennifer C., et al.. (2010). CXCR4 Controls Ventral Migration of Sympathetic Precursor Cells. Journal of Neuroscience. 30(39). 13078–13088. 97 indexed citations
13.
Kasemeier‐Kulesa, Jennifer C., et al.. (2010). CXCR4 controls ventral migration of sympathetic precursor cells. Developmental Biology. 344(1). 473–473. 6 indexed citations
14.
15.
Clary, Douglas O., et al.. (2006). Anaplastic lymphoma kinase is dynamically expressed on subsets of motor neurons and in the peripheral nervous system. The Journal of Comparative Neurology. 495(2). 202–212. 44 indexed citations
16.
Anderson, Lawrence W., et al.. (2000). Dynamic Expression of Neurotrophin Receptors during Sensory Neuron Genesis and Differentiation. Developmental Biology. 227(2). 465–480. 90 indexed citations
17.
Stone, Jennifer S., et al.. (1999). Ontogenetic expression of trk neurotrophin receptors in the chick auditory system. The Journal of Comparative Neurology. 413(2). 271–288. 29 indexed citations
18.
Boeshore, Kristen L., et al.. (1998). Neural Differentiation Promoted by Truncated trkC Receptors in Collaboration with p75NTR. Developmental Biology. 201(1). 90–100. 70 indexed citations
19.
Lefcort, Frances, et al.. (1997). TrkA Expression Levels of Sympathetic Neurons Correlate with NGF‐dependent Survival During Development and After Treatment with Retinoic Acid. European Journal of Neuroscience. 9(10). 2169–2177. 36 indexed citations
20.
Lefcort, Frances, et al.. (1989). Selective recognition between embryonic afferent neurons of grasshopper appendages in vitro. Developmental Biology. 135(2). 221–230. 5 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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