Eric Hastie
Impact in
Papers in
- Genetics 10
- Virus-based gene therapy research 10
- Co-authors
- Valery Z. Grdzelishvili (8 shared papers)R. Jude Samulski (1 shared paper)David R. Sherwood (7 shared papers)Qiuyi Chi (5 shared papers)Marcela P. Cataldi (3 shared papers)Laura C. Kelley (4 shared papers)Daniel P. Keeley (3 shared papers)Megan Moerdyk‐Schauwecker (4 shared papers)
- Journals
- Developmental Cell (3 papers)Virology (2 papers)Gene Therapy (1 paper)Molecular Therapy — Oncolytics (1 paper)Virus Research (1 paper)
- Partner nations
- United StatesChinaMexico
In The Last Decade
Eric Hastie
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Aging 107
- Genetics 585
- Animal Science and Zoology 160
- Immunology and Allergy 71
- Cell Biology 171
Countries citing papers authored by Eric Hastie
This map shows the geographic impact of Eric Hastie'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 Hastie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Hastie more than expected).
Fields of papers citing papers by Eric Hastie
This network shows the impact of papers produced by Eric Hastie. 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 Hastie. The network helps show where Eric Hastie may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Hastie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 216 | |
| 2 | 2012 | 181 | |
| 3 | 2020 | 112 | |
| 4 | 2019 | 107 | |
| 5 | 2013 | 105 | |
| 6 | 2012 | 97 | |
| 7 | 2017 | 69 | |
| 8 | 2019 | 45 | |
| 9 | 2015 | 42 | |
| 10 | 2016 | 37 | |
| 11 | 2017 | 36 | |
| 12 | 2013 | 24 | |
| 13 | 2016 | 21 | |
| 14 | 2015 | 21 | |
| 15 | 2015 | 16 | |
| 16 | 2016 | 11 | |
| 17 | 2019 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2011 | 7 | |
| 20 | 2022 | 2 |
About Eric Hastie
Eric Hastie is a scholar working on Genetics, Molecular Biology, Animal Science and Zoology, Aging and Cell Biology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Animal Virus Infections Studies (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Virology and Viral Diseases (3 papers), Cellular transport and secretion (3 papers), interferon and immune responses (3 papers), Cellular Mechanics and Interactions (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Aging (107 citations), Genetics (585 citations), Animal Science and Zoology (160 citations), Immunology and Allergy (71 citations) and Cell Biology (171 citations). Eric Hastie has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Valery Z. Grdzelishvili, R. Jude Samulski, David R. Sherwood, Qiuyi Chi, Marcela P. Cataldi, Laura C. Kelley, Daniel P. Keeley, Megan Moerdyk‐Schauwecker, Ian Marriott and Ranjay Jayadev. Their work appears in journals such as Developmental Cell, Virology, Gene Therapy, Molecular Therapy — Oncolytics and Virus Research.
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.