Marina Siebert

892 citations
51 papers · 601 · h-index 14

Impact in

  • Physiology top 10%
    • Lysosomal Storage Disorders Research
  • Cell Biology top 10%
    • Cellular transport and secretion

Papers in

    • Lysosomal Storage Disorders Research 19
    • Glycosylation and Glycoproteins Research 4
    • Muscle Physiology and Disorders 3

Marina Siebert

49 papers receiving 588 citations

Peers

Marina Siebert
Comparison fields: 5 of 80
  • Physiology 232
  • Cell Biology 112
  • Neurology 92
  • Cellular and Molecular Neuroscience 117
  • Developmental Neuroscience 21
Replace Xing‐Li Meng with:
Xing‐Li Meng United States
Ariel Díaz United States
Josef Ekstein United States
Eleonora Marchina Italy
F Stivala Italy
Petra Huehnchen Germany
Asako Takanohashi United States
Pablo H.H. López Argentina
S. Saredi Italy
R. M. Chalmers United Kingdom
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Citations per year

Countries citing papers authored by Marina Siebert

Since Specialization
Citations

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

Fields of papers citing papers by Marina Siebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014115
2 199567
3 201435
4 201735
5 201531
6 202126
7 202023
8 201921
9 201217
10 201115
11 201915
12 201614
13 201914
14 201914
15 201713
16 201712
17 202012
18 201911
19 201611
20 20219

About Marina Siebert

Marina Siebert is a scholar working on Physiology, Molecular Biology, Cell Biology, Organic Chemistry and Rheumatology, having authored 51 papers that have together received 601 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (19 papers), Cellular transport and secretion (7 papers), Carbohydrate Chemistry and Synthesis (6 papers), Glycosylation and Glycoproteins Research (4 papers), Trypanosoma species research and implications (3 papers), Neurological diseases and metabolism (3 papers), Hereditary Neurological Disorders (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Physiology (232 citations), Cell Biology (112 citations), Neurology (92 citations), Cellular and Molecular Neuroscience (117 citations) and Developmental Neuroscience (21 citations). Marina Siebert has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Ellen Sidransky, Wendy Westbroek, Maria Luiza Saraiva Pereira, Úrsula da Silveira Matte, Ida Vanessa Döederlein Schwartz, Filippo Pinto e Vairo, Roberto Giugliani, Jonas Alex Morales Saute, Andrese Aline Gasparin and Odirlei André Monticielo. Their work appears in journals such as Oral Diseases, Gene, Clinical Genetics, Molecular Genetics and Metabolism and Blood Cells Molecules and 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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