Erica Korb

2.3k citations
20 papers · 1.4k · h-index 11

Impact in

Papers in

    • Genomics and Chromatin Dynamics 6
    • Protein Degradation and Inhibitors 4
    • Epigenetics and DNA Methylation 3
    • RNA Research and Splicing 2
    • Retinoids in leukemia and cellular processes 2
    • Genetics and Neurodevelopmental Disorders 6

Erica Korb

16 papers receiving 1.4k citations

Peers

Erica Korb
Comparison fields: 5 of 82
  • Developmental Neuroscience 116
  • Neurology 362
  • Cellular and Molecular Neuroscience 417
  • Genetics 194
  • Neurology 117
Replace Mackenzie W. Amoroso with:
Mackenzie W. Amoroso United States
Yisheng Lu China
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Stefania Fasano Italy
Alexandre Ferrão Santos Switzerland
Toshikuni Sasaoka Japan
Anupama Sathyamurthy United States
Rocío Ruiz Spain
Erica Korb relative to Mackenzie W. Amoroso United States Mackenzie W. Amoroso's profile →
Citations per field
00.5×1.5×
Mackenzie W. Amoroso · 1×
Citations per year

Countries citing papers authored by Erica Korb

Since Specialization
Citations

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

Fields of papers citing papers by Erica Korb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2010407
2 2011282
3 2015194
4 2013111
5 201899
6 201781
7 200974
8 200834
9 200833
10 201925
11
The Development and Initial Evaluation of Two Promising Mental Preparatory Methods in a Sample of Female Cross Country Runners
200115
12 201310
13 20246
14 20226
15 20255
16 20253
17 20250
18 20250
19 20250
20 20250

About Erica Korb

Erica Korb is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Developmental Neuroscience and Physiology, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Genetics and Neurodevelopmental Disorders (6 papers), Protein Degradation and Inhibitors (4 papers), Epigenetics and DNA Methylation (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), RNA Research and Splicing (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Developmental Neuroscience (116 citations), Neurology (362 citations), Cellular and Molecular Neuroscience (417 citations), Genetics (194 citations) and Neurology (117 citations). Erica Korb has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Steven Finkbeiner, Sami J. Barmada, Jane Y. Wu, Gaia Skibinski, Robert B. Darnell, Ilana Zucker-Scharff, C. David Allis, Margaret Herre, Carol L. Wilkinson and Kathryn L. Lovero. Their work appears in journals such as Nature Neuroscience, Science Advances, Genome Research, Journal of Neuroscience and Cell Reports.

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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