Mario Medvedovic
- Molecular Biology top 2%
- Cancer Research top 1%
- Oncology top 5%
- Health, Toxicology and Mutagenesis top 1%
- Immunology top 5%
- Co-authors
- Maureen A. SartorJing ChenSiva SivaganesanRoger E. BumgarnerKa Yee YeungJames A. FaginCraig R. TomlinsonGeorge D. Leikauf
- Topics
- Gene expression and cancer classification (20 papers)Effects and risks of endocrine disrupting chemicals (14 papers)Bioinformatics and Genomic Networks (14 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Mario Medvedovic
156 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Molecular Biology 3.8k
- Cancer Research 1.4k
- Oncology 779
- Health, Toxicology and Mutagenesis 726
- Immunology 674
Countries citing papers authored by Mario Medvedovic
This map shows the geographic impact of Mario Medvedovic'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 Medvedovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Medvedovic more than expected).
Fields of papers citing papers by Mario Medvedovic
This network shows the impact of papers produced by Mario Medvedovic. 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 Medvedovic. The network helps show where Mario Medvedovic may publish in the future.
Co-authorship network of co-authors of Mario Medvedovic
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Medvedovic. A scholar is included among the top collaborators of Mario Medvedovic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Medvedovic. Mario Medvedovic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 133 | |
| 6 | 30 | |
| 7 | 72 | |
| 8 | 17 | |
| 9 | 59 | |
| 10 | 138 | |
| 11 | 9 | |
| 12 | 12 | |
| 13 | 33 | |
| 14 | 29 | |
| 15 | Abstract 3026: MicroRNA Expression Profiling in the Ischemic Preconditioned Heart: Functional Role of a MiR-1/GATA-4/MiR-144, -451, and -762 Circuit | 1 |
| 16 | 9 | |
| 17 | 116 | |
| 18 | 201 | |
| 19 | 53 | |
| 20 | 84 |
About Mario Medvedovic
Mario Medvedovic is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Molecular Biology, having authored 162 papers that have together received 6.9k indexed citations. Recurring topics across this work include Gene expression and cancer classification (20 papers), Effects and risks of endocrine disrupting chemicals (14 papers) and Bioinformatics and Genomic Networks (14 papers). The work is most often cited by research in Cancer Research (1.4k citations), Molecular Biology (3.8k citations) and Health, Toxicology and Mutagenesis (726 citations). Mario Medvedovic has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Maureen A. Sartor, Jing Chen, Siva Sivaganesan, Roger E. Bumgarner, Ka Yee Yeung, James A. Fagin, Craig R. Tomlinson, George D. Leikauf, Yuri E. Nikiforov and James R. Stringer. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.