Mark Reimers

10.1k citations
52 papers · 4.4k · h-index 31

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Gene expression and cancer classification
    • Epigenetics and DNA Methylation
    • Bioinformatics and Genomic Networks
    • Circular RNAs in diseases

Papers in

    • Gene expression and cancer classification 11
    • Bioinformatics and Genomic Networks 7
    • Molecular Biology Techniques and Applications 4
    • RNA modifications and cancer 3
    • Epigenetics and DNA Methylation 3
    • Genetic Associations and Epidemiology 3

Mark Reimers

52 papers receiving 4.3k citations

Peers

Mark Reimers
Comparison fields: 5 of 157
  • Cancer Research 878
  • Molecular Biology 2.2k
  • Oncology 748
  • Biological Psychiatry 66
  • Cellular and Molecular Neuroscience 368
Replace Elaine Johnstone with:
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Mark Reimers relative to Elaine Johnstone United Kingdom Elaine Johnstone's profile →
Citations per field
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Elaine Johnstone · 1×
Citations per year

Countries citing papers authored by Mark Reimers

Since Specialization
Citations

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

Fields of papers citing papers by Mark Reimers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004436
2 1989374
3 2009319
4 2013274
5 2010240
6 2006240
7 2005229
8 2008207
9 2006194
10 2009173
11 2002128
12 2006128
13 2006127
14 2007124
15 2011117
16 2014108
17 200468
18 200857
19 200856
20 200452

About Mark Reimers

Mark Reimers is a scholar working on Molecular Biology, Genetics, Oncology, Physiology and Cancer Research, having authored 52 papers that have together received 4.4k indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Bioinformatics and Genomic Networks (7 papers), Molecular Biology Techniques and Applications (4 papers), Neural dynamics and brain function (4 papers), Genetic Associations and Epidemiology (3 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Cancer Research (878 citations), Molecular Biology (2.2k citations), Oncology (748 citations), Biological Psychiatry (66 citations) and Cellular and Molecular Neuroscience (368 citations). Mark Reimers has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include John N. Weinstein, Vincent J. Carey, Thomas M. Stulnig, Alan Fogel, Carol Zander Malatesta, Beth Shepard, Clayton Culver, Gail Zivin, Samir Lababidi and Kimberly J. Bussey. Their work appears in journals such as Molecular Cancer Therapeutics, BMC Bioinformatics, PLoS ONE, Molecular Pharmacology and Blood.

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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