Ed Grabczyk
Impact in
-
- Genetic Neurodegenerative Diseases
- Nerve injury and regeneration
- Developmental Neuroscience top 5%
Papers in
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- DNA Repair Mechanisms 9
- Mitochondrial Function and Pathology 7
- RNA Research and Splicing 6
- RNA and protein synthesis mechanisms 4
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- Genetic Neurodegenerative Diseases 11
- Co-authors
- Mark C. Fishman (4 shared papers)Howard J. Federoff (3 shared papers)Mimi C. Sammarco (8 shared papers)Karen Usdin (5 shared papers)Scott Ditch (6 shared papers)Suzanne M. de la Monte (1 shared paper)Shi‐Chung Ng (1 shared paper)Robert L. Nussbaum (2 shared papers)
- Journals
- Nucleic Acids Research (5 papers)Journal of Biological Chemistry (4 papers)Analytical Biochemistry (3 papers)PLoS ONE (2 papers)Gene (1 paper)
- Partner nations
- United States
In The Last Decade
Ed Grabczyk
23 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 71
- Cellular and Molecular Neuroscience 739
- Developmental Neuroscience 76
- Molecular Biology 1.2k
- Genetics 372
- Cell Biology 157
Countries citing papers authored by Ed Grabczyk
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
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.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 172 | |
| 2 | 2000 | 168 | |
| 3 | 1988 | 165 | |
| 4 | 2007 | 148 | |
| 5 | 2007 | 131 | |
| 6 | 2000 | 84 | |
| 7 | 2007 | 76 | |
| 8 | 1995 | 62 | |
| 9 | 1994 | 62 | |
| 10 | 2000 | 56 | |
| 11 | 2012 | 56 | |
| 12 | 2009 | 52 | |
| 13 | 1998 | 48 | |
| 14 | 1990 | 38 | |
| 15 | 2018 | 33 | |
| 16 | 2009 | 26 | |
| 17 | 1999 | 21 | |
| 18 | 2021 | 19 | |
| 19 | 2001 | 17 | |
| 20 | 2005 | 17 |
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 (9 papers), Mitochondrial Function and Pathology (7 papers), RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Hemoglobinopathies and Related Disorders (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (739 citations), Developmental Neuroscience (76 citations), Molecular Biology (1.2k citations), Genetics (372 citations) and Cell Biology (157 citations). Ed Grabczyk has collaborated with scholars based in United States. Frequent co-authors include Mark C. Fishman, Howard J. Federoff, Mimi C. Sammarco, Karen Usdin, Scott Ditch, Suzanne M. de la Monte, Shi‐Chung Ng, Robert L. Nussbaum, Tapas Saha and Jeffrey Wang. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Analytical Biochemistry, PLoS ONE and Gene.
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.