Eric Scott

2.3k citations
7 papers · 150 · h-index 4

Impact in

    • Cancer Genomics and Diagnostics
    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • Gene expression and cancer classification
    • Molecular Biology Techniques and Applications

Papers in

    • Cancer Genomics and Diagnostics 5
    • Breast Cancer Treatment Studies 1
    • Epigenetics and DNA Methylation 2
    • Molecular Biology Techniques and Applications 2
    • Single-cell and spatial transcriptomics 1

Eric Scott

7 papers receiving 146 citations

Peers

Eric Scott
Comparison fields: 5 of 34
  • Cancer Research 56
  • Molecular Biology 119
  • Genetics 37
  • Artificial Intelligence 26
  • Oncology 20
Replace Runsheng He with:
Runsheng He United States
Tsung-Jung Wu United States
Mehran Karimzadeh Canada
Abdelrahman Hosny United States
Hongzhe Guo China
Marta Bleda Spain
Navin Rustagi United States
Joeri K. van der Velde Netherlands
Donald J. Corsmeier United States
Eric Scott relative to Runsheng He United States Runsheng He's profile →
Citations per field
00.5×4.3×
Runsheng He · 1×
Citations per year

Countries citing papers authored by Eric Scott

Since Specialization
Citations

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

Fields of papers citing papers by Eric Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 201182
2 201351
3 20239
4
Intracerebral thrombosis. Case report and brief clinical review.
19924
5 20232
6 20191
7 20191

About Eric Scott

Eric Scott is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Computer Networks and Communications and Dermatology, having authored 7 papers that have together received 150 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Epigenetics and DNA Methylation (2 papers), Molecular Biology Techniques and Applications (2 papers), Single-cell and spatial transcriptomics (1 paper), Breast Cancer Treatment Studies (1 paper), Error Correcting Code Techniques (1 paper), Genetic factors in colorectal cancer (1 paper) and Cerebral Venous Sinus Thrombosis (1 paper). The work is most often cited by research in Cancer Research (56 citations), Molecular Biology (119 citations), Genetics (37 citations), Artificial Intelligence (26 citations) and Oncology (20 citations). Eric Scott has collaborated with scholars based in United States and South Korea. Frequent co-authors include Boyko Kakaradov, Paul Medvedev, Pavel A. Pevzner, Jeong Ho Lee, Anand Patel, Hayan Lee, Vineet Bafna, Kunal Bhutani, Joseph G. Gleeson and Kyowon Jeong. Their work appears in journals such as Cancers, Bioinformatics, Genome biology, Cancer Research and PubMed.

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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