Ed Grabczyk

1.8k citations
23 papers · 1.5k · h-index 18

Impact in

Papers in

    • DNA Repair Mechanisms 8
    • Mitochondrial Function and Pathology 6
    • RNA Research and Splicing 5
    • RNA and protein synthesis mechanisms 3
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Genetic Neurodegenerative Diseases 11

Ed Grabczyk

23 papers receiving 1.5k citations

Peers

Ed Grabczyk
Comparison fields: 5 of 71
  • Cellular and Molecular Neuroscience 768
  • Developmental Neuroscience 75
  • Molecular Biology 1.2k
  • Genetics 388
  • Cell Biology 158
Replace Filip A. Konopacki with:
Filip A. Konopacki Poland
Marcin Rylski Poland
Caleb Davis United States
Mark Zervas United States
Friso R. Postma Netherlands
Myrna A.R. Dent Mexico
Marie Mangelsdorf Australia
Wun Chey Sin Canada
Zhoufeng Chen United States
Taeko Ichise Japan
Ed Grabczyk relative to Filip A. Konopacki Poland Filip A. Konopacki's profile →
Citations per field
00.5×2×2.9×
Filip A. Konopacki · 1×
Citations per year

Countries citing papers authored by Ed Grabczyk

Since Specialization
Citations

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

Fields of papers citing papers by Ed Grabczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000178
2 1989178
3 1988173
4 2007159
5 2007131
6 200091
7 200780
8 199565
9 199465
10 200061
11 201257
12 200956
13 199852
14 199040
15 201834
16 200926
17 199921
18 202120
19 200117
20 200517

About Ed Grabczyk

Ed Grabczyk is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Genetics and Hematology, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (11 papers), DNA Repair Mechanisms (8 papers), Mitochondrial Function and Pathology (6 papers), RNA Research and Splicing (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), RNA and protein synthesis mechanisms (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (768 citations), Developmental Neuroscience (75 citations), Molecular Biology (1.2k citations), Genetics (388 citations) and Cell Biology (158 citations). Ed Grabczyk has collaborated with scholars based in United States. Frequent co-authors include Mark C. Fishman, Howard J. Federoff, Karen Usdin, Mimi C. Sammarco, Scott Ditch, Suzanne M. de la Monte, Shi‐Chung Ng, Robert L. Nussbaum, Bonnie M. Orrison and Ayan Banerjee. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Analytical Biochemistry, PLoS ONE and PLoS Genetics.

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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