Jodi Eipper-Mains
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
Papers in
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- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 2
- Protein Kinase Regulation and GTPase Signaling 2
- Receptor Mechanisms and Signaling 2
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Brenton R. Graveley (5 shared papers)C. Joel McManus (4 shared papers)Michael O. Duff (3 shared papers)Joseph D. Coolon (3 shared papers)Patricia J. Wittkopp (3 shared papers)Richard E. Mains (4 shared papers)Betty Eipper (4 shared papers)Drew D. Kiraly (3 shared papers)
- Journals
- Genome Research (2 papers)ACS Chemical Neuroscience (1 paper)Frontiers in Genetics (1 paper)RNA (1 paper)Psychosomatics (1 paper)
- Partner nations
- United States
In The Last Decade
Jodi Eipper-Mains
10 papers receiving 635 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 136
- Genetics 194
- Molecular Biology 441
- Aging 11
- Developmental Neuroscience 22
Countries citing papers authored by Jodi Eipper-Mains
This map shows the geographic impact of Jodi Eipper-Mains'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 Jodi Eipper-Mains with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jodi Eipper-Mains more than expected).
Fields of papers citing papers by Jodi Eipper-Mains
This network shows the impact of papers produced by Jodi Eipper-Mains. 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 Jodi Eipper-Mains. The network helps show where Jodi Eipper-Mains may publish in the future.
Co-authors
The 14 scholars most cited alongside Jodi Eipper-Mains, 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 | 2010 | 298 | |
| 2 | 2011 | 112 | |
| 3 | 2010 | 85 | |
| 4 | 2010 | 40 | |
| 5 | 2005 | 32 | |
| 6 | 2011 | 29 | |
| 7 | 2014 | 27 | |
| 8 | 2012 | 20 | |
| 9 | 2019 | 2 | |
| 10 | Regulatory divergence in Drosophila revealed by mRNA-seq (vol 20, pg 816, 2010) | 2014 | 1 |
About Jodi Eipper-Mains
Jodi Eipper-Mains is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Endocrinology, Diabetes and Metabolism and Genetics, having authored 10 papers that have together received 646 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), MicroRNA in disease regulation (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cancer-related molecular mechanisms research (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cancer Research (136 citations), Genetics (194 citations), Molecular Biology (441 citations), Aging (11 citations) and Developmental Neuroscience (22 citations). Jodi Eipper-Mains has collaborated with scholars based in United States. Frequent co-authors include Brenton R. Graveley, C. Joel McManus, Michael O. Duff, Joseph D. Coolon, Patricia J. Wittkopp, Richard E. Mains, Betty Eipper, Drew D. Kiraly, Dasaradhi Palakodeti and Sunthorn Pond‐Tor. Their work appears in journals such as Genome Research, ACS Chemical Neuroscience, Frontiers in Genetics, RNA and Psychosomatics.
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.