Angela Abicht

4.9k citations
124 papers · 2.1k indexed · h-index 27
  • Neurology top 1%
    • Myasthenia Gravis and Thymoma 38
    • Metabolism and Genetic Disorders 27
    • Cellular transport and secretion 19
    • Mitochondrial Function and Pathology 28
    • Ion channel regulation and function 15
    • RNA modifications and cancer 11
  • Genetics top 10%
    • Genomics and Rare Diseases 13
    • Cancer Treatment and Pharmacology 11

Angela Abicht

120 papers receiving 2.1k citations

Peers

Angela Abicht
Comparison fields: 5 of 91
  • Neurology 864
  • Clinical Biochemistry 341
  • Cell Biology 537
  • Molecular Biology 1.2k
  • Genetics 156
Replace Göknur Haliloğlu with:
Göknur Haliloğlu Türkiye
Christine Barnérias France
Roseline Froissart France
Helen Griffin United Kingdom
Simon Hammans United Kingdom
Rudolf A. Kley Germany
Denise Cassandrini Italy
Sharon Keers United Kingdom
Jens Reimann Germany
Brent L. Fogel United States
Angela Abicht relative to Göknur Haliloğlu Türkiye Göknur Haliloğlu's profile →
Citations per field
00.5×4.1×
Göknur Haliloğlu · 1×
Citations per year

Countries citing papers authored by Angela Abicht

Since Specialization
Citations

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

Fields of papers citing papers by Angela Abicht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Angela Abicht, 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 Angela Abicht Line = papers co-authored together Angela Abicht links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20243
3 20235
4 20213
5 20214
6 20208
7 20206
8 201823
9 20187
10 201514
11 20155
12 201347
13 201216
14 201026
15 200944
16 20072
17 200419
18 200428
19 199977
20
Congenital myasthenic syndromes: clinical and genetic analysis of 18 patients.
19975

About Angela Abicht

Angela Abicht is a scholar working on Clinical Biochemistry, Neurology and Cell Biology, having authored 124 papers that have together received 2.1k indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (38 papers), Mitochondrial Function and Pathology (28 papers), Metabolism and Genetic Disorders (27 papers), Cellular transport and secretion (19 papers), Ion channel regulation and function (15 papers), Genomics and Rare Diseases (13 papers), Cancer Treatment and Pharmacology (11 papers) and RNA modifications and cancer (11 papers). The work is most often cited by research in Neurology (864 citations), Clinical Biochemistry (341 citations) and Cell Biology (537 citations). Angela Abicht has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Hanns Lochmüller, Juliane S. Müller, Ulrike Schara, Rita Horváth, Elke Holinski‐Feder, Rolf Stucka, Angela Huebner, Violeta Mihaylova, Marina Dusl and Wolfgang Müller‐Felber. Their work appears in journals such as Neuromuscular Disorders, Neuropediatrics, Journal of Neurology, Neurology and Journal of Neuromuscular Diseases.

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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