Mario Probst

692 citations
8 papers · 560 · h-index 8

Impact in

  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms
  • Surgery top 10%
    • Cholesterol and Lipid Metabolism
    • Lipoproteins and Cardiovascular Health

Papers in

    • Cholesterol and Lipid Metabolism 6
    • Peroxisome Proliferator-Activated Receptors 2
    • Advanced biosensing and bioanalysis techniques 1
    • DNA and Nucleic Acid Chemistry 1
    • RNA Research and Splicing 1

Mario Probst

8 papers receiving 546 citations

Peers

Mario Probst
Comparison fields: 5 of 73
  • Oncology 291
  • Surgery 310
  • Biochemistry 49
  • Molecular Biology 293
  • Cancer Research 44
Replace Judit Cserepes with:
Judit Cserepes Hungary
Mohan V. Chari United States
Peter Ward United Kingdom
S. Harigae Japan
Rudy N. Van Coster Belgium
Sumedha Bhagat United States
Peng Duan China
L.W. Estes United States
Michael M. Gottesman United States
Akira Kamei Japan
Mario Probst relative to Judit Cserepes Hungary Judit Cserepes's profile →
Citations per field
00.5×1.5×2.3×
Judit Cserepes · 1×
Citations per year

Countries citing papers authored by Mario Probst

Since Specialization
Citations

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

Fields of papers citing papers by Mario Probst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2003212
2 200189
3 200176
4 200257
5 200256
6 200124
7 200323
8 200123

About Mario Probst

Mario Probst is a scholar working on Surgery, Molecular Biology, Oncology, Biophysics and Genetics, having authored 8 papers that have together received 560 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Genetic Associations and Epidemiology (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Oncology (291 citations), Surgery (310 citations), Biochemistry (49 citations), Molecular Biology (293 citations) and Cancer Research (44 citations). Mario Probst has collaborated with scholars based in Germany, Czechia and Poland. Frequent co-authors include Gerd Schmitz, Thomas Langmann, Christoph Moehle, Wolfgang Stremmel, Alexandra Zahn, Richard Mauerer, Danuta Kielar, Charalampos Aslanidis, Wolfgang Dietmaier and Marek Naruszewicz. Their work appears in journals such as Clinical Chemistry, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Photochemistry and Photobiology, Biochemical and Biophysical Research Communications and Journal of Biological Chemistry.

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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