Rob Moccia
Impact in
Papers in
-
- Glycosylation and Glycoproteins Research 1
- S100 Proteins and Annexins 1
- Prion Diseases and Protein Misfolding 1
-
- Amyotrophic Lateral Sclerosis Research 4
- Co-authors
- Kevin Eggan (4 shared papers)Daniel A. Mordes (3 shared papers)Aaron Burberry (2 shared papers)Brandi N. Davis‐Dusenbery (2 shared papers)Joseph R. Klim (2 shared papers)Francesco Limone (2 shared papers)Irune Guerra San Juan (1 shared paper)Luis A. Williams (1 shared paper)
- Journals
- Nature Neuroscience (2 papers)Bioinformatics (1 paper)Gastroenterology (1 paper)Acta Neuropathologica Communications (1 paper)Human Genetics and Genomics Advances (1 paper)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Rob Moccia
8 papers receiving 669 citations
Rob Moccia's Hit Papers
Peers
Comparison fields: 5 of 53
- Neurology 510
- Genetics 302
- Neurology 92
- Molecular Biology 332
- Cellular and Molecular Neuroscience 80
Countries citing papers authored by Rob Moccia
This map shows the geographic impact of Rob 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 Rob Moccia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Moccia more than expected).
Fields of papers citing papers by Rob Moccia
This network shows the impact of papers produced by Rob 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 Rob Moccia. The network helps show where Rob Moccia may publish in the future.
Co-authors
The 25 scholars most cited alongside Rob 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 | ALS-implicated protein TDP-43 sustains levels of STMN2, a mediator of motor neuron growth and repair Hit paper breakdown → | 2019 | 377 |
| 2 | 2016 | 198 | |
| 3 | 2013 | 57 | |
| 4 | 2018 | 20 | |
| 5 | 2023 | 14 | |
| 6 | 2025 | 4 | |
| 7 | 2000 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2025 | 0 |
About Rob Moccia
Rob Moccia is a scholar working on Molecular Biology, Neurology, Genetics, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 673 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Alzheimer's disease research and treatments (1 paper), Cardiovascular Effects of Exercise (1 paper), Glycosylation and Glycoproteins Research (1 paper), S100 Proteins and Annexins (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Neurology (510 citations), Genetics (302 citations), Neurology (92 citations), Molecular Biology (332 citations) and Cellular and Molecular Neuroscience (80 citations). Rob Moccia has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Kevin Eggan, Daniel A. Mordes, Aaron Burberry, Brandi N. Davis‐Dusenbery, Joseph R. Klim, Francesco Limone, Irune Guerra San Juan, Luis A. Williams, Kanchana K. Gamage and Seth H. Cassel. Their work appears in journals such as Nature Neuroscience, Bioinformatics, Gastroenterology, Acta Neuropathologica Communications and Human Genetics and Genomics Advances.
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.