Eric Roller

492 citations
9 papers · 173 · h-index 6

Impact in

    • Genomic variations and chromosomal abnormalities
    • Genomics and Rare Diseases
    • Cancer Genomics and Diagnostics

Papers in

    • Advanced Biosensing Techniques and Applications 3
    • Advanced biosensing and bioanalysis techniques 2
    • Genomics and Phylogenetic Studies 2
    • Genomics and Rare Diseases 2
    • Genomic variations and chromosomal abnormalities 2

Eric Roller

9 papers receiving 173 citations

Peers

Eric Roller
Comparison fields: 5 of 50
  • Genetics 71
  • Cancer Research 35
  • Molecular Biology 99
  • Biomedical Engineering 52
  • Neurology 9
Replace Haiyan Huang with:
Haiyan Huang China
Shizhen Qiu China
Tanakorn Srirat Japan
Kazuhide Nakayama Japan
Shingo Yamashita Japan
Laura Steenpaß Germany
Amy Ferreccio United States
Anna Balcerak Poland
Alfredo González United States
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Countries citing papers authored by Eric Roller

Since Specialization
Citations

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

Fields of papers citing papers by Eric Roller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Eric Roller, 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 Eric Roller Line = papers co-authored together Eric Roller links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201694
2 201033
3 201121
4 20179
5 20156
6 20106
7 20062
8 20181
9 20071

About Eric Roller

Eric Roller is a scholar working on Molecular Biology, Genetics, Cancer Research, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 173 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Biosensors and Analytical Detection (2 papers), Genomics and Rare Diseases (2 papers), Genomics and Phylogenetic Studies (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Genetics (71 citations), Cancer Research (35 citations), Molecular Biology (99 citations), Biomedical Engineering (52 citations) and Neurology (9 citations). Eric Roller has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Sergii Ivakhno, Thomas Royce, Stephen Lee, Stephen Tanner, Xiaohua Huang, Matthias Franzreb, Ying-Ja Chen, Camilla Colombo, Matthew T. Walsh and Kwang‐Seuk Ko. Their work appears in journals such as Lab on a Chip, Nanomedicine Nanotechnology Biology and Medicine, Bioinformatics, Biochemistry and Journal of The Royal Society Interface.

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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