Mark Miklos
Impact in
- Genetics top 0.5%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
Papers in
- Genetics 4
- Genetic Associations and Epidemiology 3
- Genomics and Rare Diseases 2
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- RNA modifications and cancer 2
- Bioinformatics and Genomic Networks 2
- Genomics and Phylogenetic Studies 1
- Mitochondrial Function and Pathology 1
- RNA Research and Splicing 1
- Co-authors
- Andrew G. McArthur (1 shared paper)Mitchell L. Sogin (1 shared paper)Gang Wu (1 shared paper)Andrej Šali (1 shared paper)András Fiser (1 shared paper)
- Journals
- Science (2 papers)Nature Communications (1 paper)Nature (1 paper)Scientific Reports (1 paper)Molecular Biology and Evolution (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Mark Miklos
7 papers receiving 7.8k citations
Mark Miklos's Hit Papers
Peers
Comparison fields: 5 of 144
- Genetics 3.0k
- Cancer Research 856
- Molecular Biology 4.1k
- Aging 87
- Biological Psychiatry 65
Countries citing papers authored by Mark Miklos
This map shows the geographic impact of Mark Miklos'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 Mark Miklos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Miklos more than expected).
Fields of papers citing papers by Mark Miklos
This network shows the impact of papers produced by Mark Miklos. 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 Mark Miklos. The network helps show where Mark Miklos may publish in the future.
Co-authors
The 5 scholars most cited alongside Mark Miklos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans Hit paper breakdown → | 2015 | 3872 |
| 2 | Genetic effects on gene expression across human tissues Hit paper breakdown → | 2017 | 2831 |
| 3 | Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics Hit paper breakdown → | 2018 | 717 |
| 4 | 2015 | 220 | |
| 5 | 2015 | 165 | |
| 6 | 2020 | 46 | |
| 7 | 2000 | 35 |
About Mark Miklos
Mark Miklos is a scholar working on Genetics, Molecular Biology, Aging, Parasitology and Insect Science, having authored 7 papers that have together received 7.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), RNA modifications and cancer (2 papers), Genomics and Rare Diseases (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Phylogenetic Studies (1 paper), Mitochondrial Function and Pathology (1 paper), RNA Research and Splicing (1 paper) and Parasitic Infections and Diagnostics (1 paper). The work is most often cited by research in Genetics (3.0k citations), Cancer Research (856 citations), Molecular Biology (4.1k citations), Aging (87 citations) and Biological Psychiatry (65 citations). Mark Miklos has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Andrew G. McArthur, Mitchell L. Sogin, Gang Wu, Andrej Šali and András Fiser. Their work appears in journals such as Science, Nature Communications, Nature, Scientific Reports and Molecular Biology and Evolution.
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.