John E. Moskaitis
Impact in
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- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA regulation and disease
- Protein Interaction Studies and Fluorescence Analysis
- RNA Interference and Gene Delivery
- Protein Structure and Dynamics
Papers in
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- RNA Research and Splicing 4
- Protein purification and stability 2
- RNA and protein synthesis mechanisms 2
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- Phytoestrogen effects and research 2
- Co-authors
- Daniel R. Schoenberg (10 shared papers)Ricardo L. Pastori (9 shared papers)Laurens H. Smith (3 shared papers)Denise Nardelli‐Haefliger (1 shared paper)Walter Wahli (1 shared paper)Anthony T. Campagnoni (2 shared papers)Thomas D. Sargent (1 shared paper)Markus J. Hunkeler (1 shared paper)
- Journals
- Molecular Endocrinology (3 papers)Neurochemical Research (2 papers)Biochemistry (2 papers)Nucleic Acids Research (2 papers)Journal of Molecular Evolution (1 paper)
- Partner nations
- United StatesSwitzerlandHungary
In The Last Decade
John E. Moskaitis
13 papers receiving 348 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 262
- Physiology 14
- Genetics 68
- Developmental Neuroscience 10
- Cell Biology 28
Countries citing papers authored by John E. Moskaitis
This map shows the geographic impact of John E. Moskaitis'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 John E. Moskaitis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Moskaitis more than expected).
Fields of papers citing papers by John E. Moskaitis
This network shows the impact of papers produced by John E. Moskaitis. 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 John E. Moskaitis. The network helps show where John E. Moskaitis may publish in the future.
Co-authors
The 9 scholars most cited alongside John E. Moskaitis, 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 | 1991 | 51 | |
| 2 | 1989 | 45 | |
| 3 | 1989 | 39 | |
| 4 | 1989 | 39 | |
| 5 | 1991 | 37 | |
| 6 | 1990 | 33 | |
| 7 | 1987 | 23 | |
| 8 | 1990 | 22 | |
| 9 | 1990 | 19 | |
| 10 | 1987 | 19 | |
| 11 | 1992 | 11 | |
| 12 | 1991 | 9 | |
| 13 | 1986 | 6 |
About John E. Moskaitis
John E. Moskaitis is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Physiology, Genetics and Spectroscopy, having authored 13 papers that have together received 353 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Protein purification and stability (2 papers), RNA and protein synthesis mechanisms (2 papers), Phytoestrogen effects and research (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Estrogen and related hormone effects (2 papers), Proteins in Food Systems (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Molecular Biology (262 citations), Physiology (14 citations), Genetics (68 citations), Developmental Neuroscience (10 citations) and Cell Biology (28 citations). John E. Moskaitis has collaborated with scholars based in United States, Switzerland and Hungary. Frequent co-authors include Daniel R. Schoenberg, Ricardo L. Pastori, Laurens H. Smith, Denise Nardelli‐Haefliger, Walter Wahli, Anthony T. Campagnoni, Thomas D. Sargent, Markus J. Hunkeler and A. T. Campagnoni. Their work appears in journals such as Molecular Endocrinology, Neurochemical Research, Biochemistry, Nucleic Acids Research and Journal of Molecular Evolution.
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.