Mark Miklos

10.5k citations
7 papers · 7.3k · 2 hit papers · h-index 7

Impact in

  • Genetics top 0.5%
    • Genetic Associations and Epidemiology
    • Genomics and Rare Diseases
  • Aging top 2%

Papers in

    • Genetic Associations and Epidemiology 4
    • Genomics and Rare Diseases 1
    • Genetics, Aging, and Longevity in Model Organisms 1

Mark Miklos

7 papers receiving 7.3k citations

Mark Miklos's Hit Papers

Genetic effects on gene expression across human tissues 2017 · 2.9k citations
2.9k0+3+7Years since publication1k2k3k

Peers

Mark Miklos
Comparison fields: 5 of 124
  • Genetics 3.1k
  • Aging 116
  • Molecular Biology 2.3k
  • Cancer Research 406
  • Psychiatry and Mental health 326
Replace Bernadette Mestichelli with:
Bernadette Mestichelli United States
Heather M. Traino United States
Casandra A. Trowbridge United States
Kimberly M. Valentino United States
Nicole C. Lockhart United States
Anna M. Smith United States
Taylor Young United States
Ping Guan China
Sherilyn J. Sawyer United States
Jakob M. Goldmann United States
Mark Miklos relative to Bernadette Mestichelli United States Bernadette Mestichelli's profile →
Citations per field
00.5×1.5×
Bernadette Mestichelli · 1×
Citations per year

Countries citing papers authored by Mark Miklos

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mark Miklos Line = papers co-authored together Mark Miklos links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans
Hit paper breakdown →
20153944
2
Genetic effects on gene expression across human tissues
Hit paper breakdown →
20172894
3 2015225
4 2015168
5 202051
6 200035
7 201831

About Mark Miklos

Mark Miklos is a scholar working on Genetics, Aging, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 7 papers that have together received 7.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Genomics and Rare Diseases (1 paper), Genomics and Chromatin Dynamics (1 paper) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Genetics (3.1k citations), Aging (116 citations), Molecular Biology (2.3k citations), Cancer Research (406 citations) and Psychiatry and Mental health (326 citations). Mark Miklos has collaborated with scholars based in United States. Frequent co-authors include Andrew G. McArthur, András Fiser, Gang Wu, Andrej Šali and Mitchell L. Sogin. Their work appears in journals such as Science, Molecular Biology and Evolution, Nature, Nature Communications and Scientific Reports.

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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