Robert Moccia
Impact in
- Microbiology top 10%
- Reproductive tract infections research
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- Metabolism, Diabetes, and Cancer
- Glycosylation and Glycoproteins Research
- RNA Research and Splicing
Papers in
-
- Glycosylation and Glycoproteins Research 3
- RNA Research and Splicing 2
- Muscle Physiology and Disorders 2
- CRISPR and Genetic Engineering 1
- Co-authors
- Ilene K. Gipson (3 shared papers)Antonio Gargiulo (2 shared papers)Joseph A. Hill (2 shared papers)Sandra J. Spurr-Michaud (2 shared papers)Christian M. T. Spahn (1 shared paper)Dillon Z. Chen (1 shared paper)Eric R. Kandel (1 shared paper)Kelsey C. Martin (1 shared paper)
- Journals
- Disease Models & Mechanisms (1 paper)Nature Neuroscience (1 paper)BMC Genomics (1 paper)Biology of Reproduction (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Robert Moccia
10 papers receiving 639 citations
Peers
Comparison fields: 5 of 85
- Microbiology 44
- Molecular Biology 390
- Cellular and Molecular Neuroscience 84
- Aging 8
- Developmental Neuroscience 16
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 | 2017 | 232 | |
| 2 | 2003 | 149 | |
| 3 | 1999 | 102 | |
| 4 | 2001 | 94 | |
| 5 | Developmental expression of mucin genes ASGP (rMuc4) and rMuc5ac by the rat ocular surface epithelium. | 1999 | 33 |
| 6 | 2020 | 13 | |
| 7 | 2022 | 11 | |
| 8 | 2025 | 10 | |
| 9 | 2022 | 4 | |
| 10 | 2014 | 1 |
About Robert Moccia
Robert Moccia is a scholar working on Molecular Biology, Cell Biology, Aging, Immunology and Periodontics, having authored 10 papers that have together received 649 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), RNA Research and Splicing (2 papers), Muscle Physiology and Disorders (2 papers), CRISPR and Genetic Engineering (1 paper), Pancreatic function and diabetes (1 paper), Natural Antidiabetic Agents Studies (1 paper), Neurogenetic and Muscular Disorders Research (1 paper) and Autoimmune Bullous Skin Diseases (1 paper). The work is most often cited by research in Microbiology (44 citations), Molecular Biology (390 citations), Cellular and Molecular Neuroscience (84 citations), Aging (8 citations) and Developmental Neuroscience (16 citations). Robert Moccia has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Ilene K. Gipson, Antonio Gargiulo, Joseph A. Hill, Sandra J. Spurr-Michaud, Christian M. T. Spahn, Dillon Z. Chen, Eric R. Kandel, Kelsey C. Martin, Sergey M. Kalachikov and E Yaping. Their work appears in journals such as Disease Models & Mechanisms, Nature Neuroscience, BMC Genomics, Biology of Reproduction and The Journal of Clinical Endocrinology & Metabolism.
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.