Eric A. Epping

35 papers receiving 1.3k citations

Peers

Eric A. Epping
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 541
  • Neurology 323
  • Biological Psychiatry 29
  • Molecular Biology 732
  • Genetics 268
Replace Christophe Verny with:
Christophe Verny France
Lynnette J. Cook United Kingdom
Miguel Verbitsky United States
Claude Marineau Canada
Georgina M. Aldridge United States
Anabela Silva‐Fernandes Portugal
Elizabeth Hernández Mexico
James P. Clement India
Subhrangshu Guhathakurta United States
Chiho Sumi‐Ichinose Japan
Eric A. Epping relative to Christophe Verny France Christophe Verny's profile →
Citations per field
00.5×3.2×
Christophe Verny · 1×
Citations per year

Countries citing papers authored by Eric A. Epping

Since Specialization
Citations

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

Fields of papers citing papers by Eric A. Epping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995136
2 1999127
3 200894
4 201593
5 200779
6 199975
7 201169
8 201256
9 201351
10 201242
11 201240
12 202039
13 201637
14 201330
15 201829
16 200928
17 201228
18 201126
19 201724
20 201122

About Eric A. Epping

Eric A. Epping is a scholar working on Cellular and Molecular Neuroscience, Neurology, Genetics, Psychiatry and Mental health and Molecular Biology, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (21 papers), Mitochondrial Function and Pathology (14 papers), Neurological disorders and treatments (13 papers), Genomic variations and chromosomal abnormalities (5 papers), Genetic Associations and Epidemiology (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Congenital heart defects research (4 papers) and Autism Spectrum Disorder Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (541 citations), Neurology (323 citations), Biological Psychiatry (29 citations), Molecular Biology (732 citations) and Genetics (268 citations). Eric A. Epping has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include W. Scott Moye‐Rowley, Jane S. Paulsen, Thomas H. Wassink, Susanne Steggerda, Sean T. Coleman, Danielle S. Rudd, Peg Nopoulos, David J. Katzmann, Nancy C. Andreasen and James A. Mills. Their work appears in journals such as Neurology, American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Journal of Neurology Neurosurgery & Psychiatry, Journal of Biological Chemistry and Molecular and Cellular Biology.

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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