Julia B. Scheerer
Impact in
- Physiology top 10%
- Lysosomal Storage Disorders Research
-
- Carcinogens and Genotoxicity Assessment
Papers in
-
- CRISPR and Genetic Engineering 5
- DNA Repair Mechanisms 3
- Biochemical and Molecular Research 2
- RNA and protein synthesis mechanisms 2
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- Carbohydrate Chemistry and Synthesis 2
- Co-authors
- Jary S. Mayes (2 shared papers)Richard N. Sifers (1 shared paper)Mark Donaldson (1 shared paper)Gerald M. Adair (5 shared papers)MJ Siciliano (1 shared paper)James D. Tucker (1 shared paper)Randy J. Legerski (1 shared paper)Larry H. Thompson (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Molecular and Cellular Biology (2 papers)Mutation research. Fundamental and molecular mechanisms of mutagenesis (1 paper)Clinica Chimica Acta (1 paper)Military Medicine (3 papers)
- Partner nations
- United States
In The Last Decade
Julia B. Scheerer
12 papers receiving 595 citations
Peers
Comparison fields: 5 of 56
- Physiology 188
- Cancer Research 83
- Molecular Biology 404
- Oncology 100
- Cell Biology 55
Countries citing papers authored by Julia B. Scheerer
This map shows the geographic impact of Julia B. Scheerer'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 Julia B. Scheerer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia B. Scheerer more than expected).
Fields of papers citing papers by Julia B. Scheerer
This network shows the impact of papers produced by Julia B. Scheerer. 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 Julia B. Scheerer. The network helps show where Julia B. Scheerer may publish in the future.
Co-authors
The 22 scholars most cited alongside Julia B. Scheerer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 234 | |
| 2 | 1981 | 188 | |
| 3 | 1989 | 92 | |
| 4 | 1994 | 29 | |
| 5 | Endocytosis of lysosomal alpha-galactosidase A by cultured fibroblasts from patients with Fabry disease. | 1982 | 19 |
| 6 | 1990 | 17 | |
| 7 | 1998 | 12 | |
| 8 | 1999 | 10 | |
| 9 | 1994 | 7 | |
| 10 | 2018 | 5 | |
| 11 | 2017 | 3 | |
| 12 | 2020 | 1 |
About Julia B. Scheerer
Julia B. Scheerer is a scholar working on Molecular Biology, Organic Chemistry, Epidemiology, Physiology and Genetics, having authored 12 papers that have together received 617 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), DNA Repair Mechanisms (3 papers), Virus-based gene therapy research (2 papers), Lysosomal Storage Disorders Research (2 papers), Biochemical and Molecular Research (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), RNA and protein synthesis mechanisms (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Physiology (188 citations), Cancer Research (83 citations), Molecular Biology (404 citations), Oncology (100 citations) and Cell Biology (55 citations). Julia B. Scheerer has collaborated with scholars based in United States. Frequent co-authors include Jary S. Mayes, Richard N. Sifers, Mark Donaldson, Gerald M. Adair, MJ Siciliano, James D. Tucker, Randy J. Legerski, Larry H. Thompson, Ying Zhao and Robert S. Tebbs. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Mutation research. Fundamental and molecular mechanisms of mutagenesis, Clinica Chimica Acta and Military Medicine.
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.