Mario Albrecht

14.1k citations
74 papers · 6.4k indexed · 1 hit paper · h-index 38

Impact in

    • Bioinformatics and Genomic Networks
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Plant-Microbe Interactions and Immunity
    • Plant Pathogenic Bacteria Studies

Papers in

    • Bioinformatics and Genomic Networks 26
    • Biomedical Text Mining and Ontologies 11
    • RNA Research and Splicing 10
    • Gene expression and cancer classification 9
    • RNA modifications and cancer 8
    • Protein Structure and Dynamics 7
    • Genomics and Phylogenetic Studies 6

Mario Albrecht

74 papers receiving 6.3k citations

Hit Papers

Computing topological parameters of biological networks 2007 · 1.4k citations
1.4k20072026201320194008001.2k

Peers

Mario Albrecht
Comparison fields: 5 of 163
  • Molecular Biology 3.7k
  • Plant Science 1.2k
  • Immunology 690
  • Genetics 792
  • Computational Theory and Mathematics 446
Replace Yu Xue with:
Yu Xue China
Kalliopi P. Tsafou Denmark
Tao Fang China
Jean Muller France
Rebecca Kirsch Denmark
Pablo Mínguez Spain
Katerina Nastou Greece
Jianmin Wu China
Alexander R. Pico United States
Mika Hirakawa Japan
Mario Albrecht relative to Yu Xue China Yu Xue's profile →
Citations per field
00.5×1.5×2.0×
Yu Xue · 1×
Citations per year

Countries citing papers authored by Mario Albrecht

Since Specialization
Citations

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

Fields of papers citing papers by Mario Albrecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201551
2 201470
3 20149
4 201350
5 201223
6 201242
7 2012374
8 201114
9 201116
10 200751
11 200718
12 2006230
13 200661
14 200555
15 200517
16 2005215
17 200581
18 200562
19 2004108
20 200318

About Mario Albrecht

Mario Albrecht is a scholar working on Molecular Biology, Hepatology, Cellular and Molecular Neuroscience, Immunology and Computational Theory and Mathematics, having authored 74 papers that have together received 6.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (26 papers), Biomedical Text Mining and Ontologies (11 papers), RNA Research and Splicing (10 papers), Gene expression and cancer classification (9 papers), RNA modifications and cancer (8 papers), Protein Structure and Dynamics (7 papers), Genomics and Phylogenetic Studies (6 papers) and Genetic Neurodegenerative Diseases (6 papers). The work is most often cited by research in Molecular Biology (3.7k citations), Plant Science (1.2k citations), Immunology (690 citations), Genetics (792 citations) and Computational Theory and Mathematics (446 citations). Mario Albrecht has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Thomas Lengauer, Yassen Assenov, Fidel Ramírez, Sven-Eric Schelhorn, Frank L. W. Takken, Francisco S. Domingues, Nadezhda T. Doncheva, W.I.L. Tameling, Ben J. C. Cornelissen and Stefan Schreiber. Their work appears in journals such as Bioinformatics, PLoS ONE, Nucleic Acids Research, FEBS Letters and Biochemical and Biophysical Research Communications.

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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