Mario Mikula

4.0k citations
53 papers · 2.7k indexed · h-index 24

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 5%
    • Cancer Cells and Metastasis

Papers in

Mario Mikula

51 papers receiving 2.7k citations

Peers

Mario Mikula
Comparison fields: 5 of 103
  • Cancer Research 633
  • Oncology 965
  • Hepatology 245
  • Molecular Biology 1.8k
  • Cell Biology 303
Replace Masayuki Koizumi with:
Masayuki Koizumi Japan
Frauke Bataille Germany
Esther Bertrán Spain
Laia Caja Sweden
Koichi Hamada Japan
Koh‐ichi Nakashiro Japan
Daizo Koinuma Japan
Lian‐Yue Yang China
Yoshinobu Toda Japan
Changcun Guo China
Mario Mikula relative to Masayuki Koizumi Japan Masayuki Koizumi's profile →
Citations per field
00.5×1.7×
Masayuki Koizumi · 1×
Citations per year

Countries citing papers authored by Mario Mikula

Since Specialization
Citations

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

Fields of papers citing papers by Mario Mikula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 201918
3 201724
4 20162
5 201413
6 201123
7 20111
8 201139
9 201034
10 200976
11 200818
12 200811
13 2006171
14 200686
15 2006119
16 200525
17 200542
18 2004128
19 200429
20 200365

About Mario Mikula

Mario Mikula is a scholar working on Hepatology, Cancer Research, Molecular Biology, Oncology and Cell Biology, having authored 53 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Liver physiology and pathology (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Melanoma and MAPK Pathways (4 papers), Cholesterol and Lipid Metabolism (4 papers), Cancer-related gene regulation (4 papers) and Pluripotent Stem Cells Research (4 papers). The work is most often cited by research in Cancer Research (633 citations), Oncology (965 citations), Hepatology (245 citations), Molecular Biology (1.8k citations) and Cell Biology (303 citations). Mario Mikula has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Wolfgang Mikulits, Hartmut Beug, Andreas Eger, Roland Foisner, Josef Gotzmann, Andreas Fischer, Rolf Schulte‐Hermann, Heidemarie Huber, Verena Proell and Wolfgang Sommergruber. Their work appears in journals such as Oncogene, The EMBO Journal, Scientific Reports, Human Molecular Genetics and Carcinogenesis.

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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