Eric Reed

672 citations
19 papers · 353 · h-index 9

Impact in

Papers in

    • RNA Research and Splicing 3
    • RNA modifications and cancer 3
    • Genetic Mapping and Diversity in Plants and Animals 4
    • Genetic Associations and Epidemiology 3

Eric Reed

17 papers receiving 350 citations

Peers

Eric Reed
Comparison fields: 5 of 70
  • Aging 19
  • Endocrine and Autonomic Systems 23
  • Genetics 87
  • Cancer Research 38
  • Cellular and Molecular Neuroscience 41
Replace Marina Tarsitano with:
Marina Tarsitano Italy
Khomgrit Morarach Sweden
Kathleen J. Krentz United States
Stuart Calimport United Kingdom
Mingru Yin China
Eline C. Brombacher Netherlands
Stewart W. C. Masson Australia
Kalpita R. Karan United States
Shirish Damle United States
Simon D. Rees United Kingdom
Eric Reed relative to Marina Tarsitano Italy Marina Tarsitano's profile →
Citations per field
00.5×3.3×
Marina Tarsitano · 1×
Citations per year

Countries citing papers authored by Eric Reed

Since Specialization
Citations

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

Fields of papers citing papers by Eric Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201573
2 201658
3 202349
4 201538
5 201632
6 201925
7 201225
8 202111
9 20209
10 20216
11 20246
12 20166
13 20214
14 20194
15
Abstract 14545: Aortic Root and Main Pulmonary Artery Areas Derived from Cardiovascular Magnetic Resonance as Reference Values for Normal Subjects and Repaired Tetralogy of Fallot
20113
16 20233
17 20251
18 20250
19 20250

About Eric Reed

Eric Reed is a scholar working on Molecular Biology, Genetics, Cancer Research, Cellular and Molecular Neuroscience and Epidemiology, having authored 19 papers that have together received 353 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (4 papers), RNA Research and Splicing (3 papers), Genetic Associations and Epidemiology (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (2 papers), Congenital Heart Disease Studies (2 papers), Alzheimer's disease research and treatments (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Aging (19 citations), Endocrine and Autonomic Systems (23 citations), Genetics (87 citations), Cancer Research (38 citations) and Cellular and Molecular Neuroscience (41 citations). Eric Reed has collaborated with scholars based in United States, Denmark and Netherlands. Frequent co-authors include Sara Núñez, Muredach P. Reilly, Andrea S. Foulkes, Jing Qian, David Kulp, Stefano Monti, Camron D. Bryant, W. Evan Johnson, Neema Yazdani and Lisa R. Goldberg. Their work appears in journals such as Molecular Pain, Frontiers in Genetics, Human Molecular Genetics, Circulation and GeroScience.

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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