Eric Eastman
Impact in
- Genetics top 10%
- Virus-based gene therapy research
-
- RNA Interference and Gene Delivery
- CRISPR and Genetic Engineering
- Viral Infectious Diseases and Gene Expression in Insects
- Muscle Physiology and Disorders
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
Papers in
-
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
- Biopolymer Synthesis and Applications 2
- RNA modifications and cancer 2
- Genetics 4
- Animal Genetics and Reproduction 2
- Co-authors
- Xuyang Li (1 shared paper)Ruxandra Draghia‐Akli (1 shared paper)Robert J. Schwartz (1 shared paper)Ross H. Durland (1 shared paper)Mill W. Miller (3 shared papers)Laurence D. Etkin (3 shared papers)Dennis J. O’Callaghan (1 shared paper)C. Clay Flowers (1 shared paper)
- Journals
- Chromosoma (3 papers)Gene (2 papers)Yeast (1 paper)Journal of Clinical Investigation (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Eric Eastman
18 papers receiving 486 citations
Peers
Comparison fields: 5 of 80
- Genetics 197
- Molecular Biology 374
- Biotechnology 32
- Aging 5
- Immunology and Allergy 15
Countries citing papers authored by Eric Eastman
This map shows the geographic impact of Eric Eastman'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 Eastman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Eastman more than expected).
Fields of papers citing papers by Eric Eastman
This network shows the impact of papers produced by Eric Eastman. 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 Eastman. The network helps show where Eric Eastman may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Eastman, 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 | 1999 | 191 | |
| 2 | 1998 | 55 | |
| 3 | 1991 | 42 | |
| 4 | 1989 | 38 | |
| 5 | 1991 | 33 | |
| 6 | 1980 | 33 | |
| 7 | 1989 | 32 | |
| 8 | 1994 | 19 | |
| 9 | 2015 | 15 | |
| 10 | 1980 | 14 | |
| 11 | 1997 | 12 | |
| 12 | 1989 | 9 | |
| 13 | 1991 | 9 | |
| 14 | 2014 | 8 | |
| 15 | 1981 | 7 | |
| 16 | 1980 | 5 | |
| 17 | 1992 | 3 | |
| 18 | Molecular markers in the diagnosis of equine disease. | 2008 | 1 |
| 19 | 2014 | 0 |
About Eric Eastman
Eric Eastman is a scholar working on Molecular Biology, Genetics, Plant Science, Pathology and Forensic Medicine and Ecology, having authored 19 papers that have together received 526 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (4 papers), Animal Genetics and Reproduction (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), Biopolymer Synthesis and Applications (2 papers), T-cell and B-cell Immunology (2 papers), RNA modifications and cancer (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Genetics (197 citations), Molecular Biology (374 citations), Biotechnology (32 citations), Aging (5 citations) and Immunology and Allergy (15 citations). Eric Eastman has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Xuyang Li, Ruxandra Draghia‐Akli, Robert J. Schwartz, Ross H. Durland, Mill W. Miller, Laurence D. Etkin, Dennis J. O’Callaghan, C. Clay Flowers, O. J. Miller and Bernard F. Erlanger. Their work appears in journals such as Chromosoma, Gene, Yeast, Journal of Clinical Investigation and Nature Biotechnology.
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.