Robert Moccia
Impact in
- Microbiology top 10%
- Reproductive tract infections research
Papers in
-
- Glycosylation and Glycoproteins Research 3
- RNA Research and Splicing 2
- Muscle Physiology and Disorders 2
- Single-cell and spatial transcriptomics 1
- RNA and protein synthesis mechanisms 1
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- Proteoglycans and glycosaminoglycans research 2
- Co-authors
- Ilene K. Gipson (3 shared papers)Sandra Spurr-Michaud (2 shared papers)Joseph A. Hill (2 shared papers)Antonio Gargiulo (2 shared papers)Eric R. Kandel (1 shared paper)C.M.T. Spahn (1 shared paper)E Yaping (1 shared paper)Mark Barad (1 shared paper)
- Journals
- BMC Genomics (1 paper)Biology of Reproduction (1 paper)Journal of Neuroscience (1 paper)Disease Models & Mechanisms (1 paper)Neuromuscular Disorders (1 paper)
- Partner nations
- United StatesUnited KingdomHong Kong
In The Last Decade
Robert Moccia
8 papers receiving 382 citations
Peers
Comparison fields: 5 of 74
- Microbiology 54
- Reproductive Medicine 36
- Cellular and Molecular Neuroscience 74
- Developmental Neuroscience 16
- Cell Biology 56
Countries citing papers authored by Robert Moccia
This map shows the geographic impact of Robert Moccia'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 Robert Moccia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Moccia more than expected).
Fields of papers citing papers by Robert Moccia
This network shows the impact of papers produced by Robert Moccia. 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 Robert Moccia. The network helps show where Robert Moccia may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Moccia, 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 | 2003 | 138 | |
| 2 | 1999 | 98 | |
| 3 | 2001 | 90 | |
| 4 | Developmental expression of mucin genes ASGP (rMuc4) and rMuc5ac by the rat ocular surface epithelium. | 1999 | 32 |
| 5 | 2022 | 12 | |
| 6 | 2020 | 11 | |
| 7 | 2022 | 3 | |
| 8 | 2014 | 1 |
About Robert Moccia
Robert Moccia is a scholar working on Molecular Biology, Cell Biology, Immunology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 385 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), RNA Research and Splicing (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Muscle Physiology and Disorders (2 papers), Single-cell and spatial transcriptomics (1 paper), Galectins and Cancer Biology (1 paper), RNA and protein synthesis mechanisms (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Microbiology (54 citations), Reproductive Medicine (36 citations), Cellular and Molecular Neuroscience (74 citations), Developmental Neuroscience (16 citations) and Cell Biology (56 citations). Robert Moccia has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include Ilene K. Gipson, Sandra Spurr-Michaud, Joseph A. Hill, Antonio Gargiulo, Eric R. Kandel, C.M.T. Spahn, E Yaping, Mark Barad, Kelsey C. Martin and Joachim Frank. Their work appears in journals such as BMC Genomics, Biology of Reproduction, Journal of Neuroscience, Disease Models & Mechanisms and Neuromuscular Disorders.
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.