Albéna Pramatarova

3.1k citations
18 papers · 1.2k indexed · h-index 12

Albéna Pramatarova

18 papers receiving 1.2k citations

Peers

Albéna Pramatarova
Comparison fields: 5 of 70
  • Developmental Neuroscience 252
  • Neurology 635
  • Genetics 376
  • Neurology 282
  • Cellular and Molecular Neuroscience 317
Replace Nicole Hersmus with:
Nicole Hersmus Belgium
Meghan Rao United States
Caroline Rouaux France
Noriko Fujimori-Tonou Japan
Joseph R. Herdy United States
Shibi Likhite United States
SungWon Song United States
Matthew J. Winton United States
Giulia E. Tyzack United Kingdom
Chiara F. Valori Germany
Albéna Pramatarova relative to Nicole Hersmus Belgium Nicole Hersmus's profile →
Citations per field
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Citations per year

Countries citing papers authored by Albéna Pramatarova

Since Specialization
Citations

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

Fields of papers citing papers by Albéna Pramatarova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 202312
2 20239
3
Identification and Validation of Targets for Osteoporosis: Evidence from Whole exome Sequencing in 42,263 individuals, CRISPR-Cas9 and murine models
20191
4 201820
5 200870
6 200731
7 200617
8 2004149
9 200469
10 200371
11 2001373
12 1996189
13
Identification of new mutations in the Cu/Zn superoxide dismutase gene of patients with familial amyotrophic lateral sclerosis.
1995100
14 19945
15
A two basepair deletion in the SOD 1 gene causes familial amyotrophic lateral sclerosis.
199459
16 19921
17 19913
18 19902

About Albéna Pramatarova

Albéna Pramatarova is a scholar working on Developmental Neuroscience, Virology and Genetics, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (6 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), Microtubule and mitosis dynamics (3 papers), interferon and immune responses (2 papers), HIV Research and Treatment (2 papers), Virus-based gene therapy research (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Developmental Neuroscience (252 citations), Neurology (635 citations) and Genetics (376 citations). Albéna Pramatarova has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Guy A. Rouleau, Katéri Brisebois, Janet Laganière, Brian W. Howell, Denise A. Figlewicz, Aldis Krizus, Ke‐lian Chen, Arthur W. Clark, Pawel G. Ochalski and Karen Rooke. Their work appears in journals such as Journal of Neuroscience, Molecular and Cellular Biology and Annals of Neurology.

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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