L. Specht

766 citations
11 papers · 663 · h-index 8

Impact in

    • Neurogenesis and neuroplasticity mechanisms
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research
    • Virus-based gene therapy research

Papers in

    • Muscle Physiology and Disorders 6
    • Extracellular vesicles in disease 1
    • Neurogenetic and Muscular Disorders Research 5

L. Specht

11 papers receiving 625 citations

Peers

L. Specht
Comparison fields: 5 of 66
  • Developmental Neuroscience 45
  • Genetics 93
  • Cellular and Molecular Neuroscience 168
  • Molecular Biology 518
  • Cardiology and Cardiovascular Medicine 141
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L. Specht relative to Jean‐Claude Mira France Jean‐Claude Mira's profile →
Citations per field
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Citations per year

Countries citing papers authored by L. Specht

Since Specialization
Citations

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

Fields of papers citing papers by L. Specht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside L. Specht, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with L. Specht Line = papers co-authored together L. Specht links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Exploring the molecular basis for variability among patients with Becker muscular dystrophy: dystrophin gene and protein studies.
1991359
2 1980138
3 199350
4 199342
5 199637
6 199211
7 19909
8 20117
9 20234
10 19924
11 20242

About L. Specht

L. Specht is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Physiology and Health, having authored 11 papers that have together received 663 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Neurogenetic and Muscular Disorders Research (5 papers), Child Abuse and Trauma (2 papers), Genetic Neurodegenerative Diseases (2 papers), Intimate Partner and Family Violence (2 papers), Allergic Rhinitis and Sensitization (1 paper), Neuroscience and Neural Engineering (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Developmental Neuroscience (45 citations), Genetics (93 citations), Cellular and Molecular Neuroscience (168 citations), Molecular Biology (518 citations) and Cardiology and Cardiovascular Medicine (141 citations). L. Specht has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Frederic Shapiro, Alan H. Beggs, C. Angelini, Louis M. Kunkel, Kiichi Arahata, Hideo Sugita, Eric P. Hoffman, D.J. Reis, Michael D. Gershon and T.P. Rothman. Their work appears in journals such as Neurology, Journal of Bone and Joint Surgery, Veterinary Parasitology, Proceedings of the National Academy of Sciences and New England Journal of Medicine.

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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