Eric G. Moss
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms 16
- Cancer Research top 0.5%
- MicroRNA in disease regulation 9
- Molecular Biology top 2%
- RNA Research and Splicing 13
- RNA modifications and cancer 5
- CRISPR and Genetic Engineering 5
- RNA Interference and Gene Delivery 4
- Photosynthetic Processes and Mechanisms 4
- Developmental Neuroscience top 5%
-
- Viral Infections and Immunology Research 4
- Co-authors
- Victor AmbrosLingjuan TangRosalind C. LeeEthan DmitrovskyLorenzo F. SempereSarah J. FreemantleIan PithaVincent R. Racaniello
- Partner nations
- United StatesCanadaIreland
In The Last Decade
Eric G. Moss
32 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Aging 588
- Cancer Research 2.3k
- Molecular Biology 3.6k
- Developmental Neuroscience 153
- Endocrine and Autonomic Systems 117
Countries citing papers authored by Eric G. Moss
This map shows the geographic impact of Eric G. Moss'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 Eric G. Moss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric G. Moss more than expected).
Fields of papers citing papers by Eric G. Moss
This network shows the impact of papers produced by Eric G. Moss. 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 Eric G. Moss. The network helps show where Eric G. Moss may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric G. Moss, 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 | 2024 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2021 | 36 | |
| 4 | 2015 | 95 | |
| 5 | 2014 | 9 | |
| 6 | 2013 | 86 | |
| 7 | 2012 | 61 | |
| 8 | 2007 | 153 | |
| 9 | 2007 | 153 | |
| 10 | 2007 | 236 | |
| 11 | 2003 | 266 | |
| 12 | 2003 | 66 | |
| 13 | 2003 | 151 | |
| 14 | 2003 | 6 | |
| 15 | 2002 | 90 | |
| 16 | 2002 | 25 | |
| 17 | 2001 | 42 | |
| 18 | 2000 | 30 | |
| 19 | The Cold Shock Domain Protein LIN-28 Controls Developmental Timing in C. elegans and Is Regulated by the lin-4 RNAbreakdown → | 1997 | 688 |
| 20 | 1994 | 59 |
About Eric G. Moss
Eric G. Moss is a scholar working on Aging, Cancer Research, Molecular Biology, Plant Science and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 4.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (16 papers), RNA Research and Splicing (13 papers), MicroRNA in disease regulation (9 papers), RNA modifications and cancer (5 papers), CRISPR and Genetic Engineering (5 papers), Viral Infections and Immunology Research (4 papers), RNA Interference and Gene Delivery (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). The work is most often cited by research in Aging (588 citations), Cancer Research (2.3k citations), Molecular Biology (3.6k citations), Developmental Neuroscience (153 citations) and Endocrine and Autonomic Systems (117 citations). Eric G. Moss has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include Victor Ambros, Lingjuan Tang, Rosalind C. Lee, Ethan Dmitrovsky, Lorenzo F. Sempere, Sarah J. Freemantle, Ian Pitha, Vincent R. Racaniello, Dong‐Hua Yang and Ruibao Ren. Their work appears in journals such as Current Biology, Genetics, Development, Stem Cells and RNA Biology.
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.