Ronald E. Haskell
Impact in
- Physiology top 10%
- Lysosomal Storage Disorders Research
-
- Virus-based gene therapy research
- Animal Genetics and Reproduction
Papers in
- Genetics 5
- Virus-based gene therapy research 4
- Animal Genetics and Reproduction 1
-
- Lysosomal Storage Disorders Research 3
- Co-authors
- Beverly L. Davidson (6 shared papers)Haibin Xia (1 shared paper)Richard A. Bowen (1 shared paper)Robin L. Davisson (1 shared paper)Curt D. Sigmund (1 shared paper)David E. Stec (1 shared paper)John A. Chiorini (1 shared paper)Stephanie M. Hughes (1 shared paper)
- Journals
- Gene Therapy (2 papers)Experimental Neurology (2 papers)Journal of Biological Chemistry (2 papers)Molecular Genetics and Metabolism (1 paper)Behavioural Brain Research (1 paper)
- Partner nations
- United States
In The Last Decade
Ronald E. Haskell
11 papers receiving 633 citations
Peers
Comparison fields: 5 of 61
- Physiology 150
- Genetics 164
- Immunology 57
- Cellular and Molecular Neuroscience 45
- Aging 4
Countries citing papers authored by Ronald E. Haskell
This map shows the geographic impact of Ronald E. Haskell'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 Ronald E. Haskell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald E. Haskell more than expected).
Fields of papers citing papers by Ronald E. Haskell
This network shows the impact of papers produced by Ronald E. Haskell. 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 Ronald E. Haskell. The network helps show where Ronald E. Haskell may publish in the future.
Co-authors
The 25 scholars most cited alongside Ronald E. Haskell, 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 | 2000 | 230 | |
| 2 | 2000 | 81 | |
| 3 | 1999 | 80 | |
| 4 | 2012 | 63 | |
| 5 | 2003 | 58 | |
| 6 | 1995 | 41 | |
| 7 | 2014 | 38 | |
| 8 | 2012 | 23 | |
| 9 | 1998 | 21 | |
| 10 | 1999 | 20 | |
| 11 | 2001 | 7 |
About Ronald E. Haskell
Ronald E. Haskell is a scholar working on Genetics, Physiology, Immunology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 662 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Lysosomal Storage Disorders Research (3 papers), Neuroscience and Neuropharmacology Research (1 paper), Immunotherapy and Immune Responses (1 paper), IL-33, ST2, and ILC Pathways (1 paper), Renin-Angiotensin System Studies (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Physiology (150 citations), Genetics (164 citations), Immunology (57 citations), Cellular and Molecular Neuroscience (45 citations) and Aging (4 citations). Ronald E. Haskell has collaborated with scholars based in United States. Frequent co-authors include Beverly L. Davidson, Haibin Xia, Richard A. Bowen, Robin L. Davisson, Curt D. Sigmund, David E. Stec, John A. Chiorini, Stephanie M. Hughes, Joseph Martín Alisky and Kathy Ruth Magnusson. Their work appears in journals such as Gene Therapy, Experimental Neurology, Journal of Biological Chemistry, Molecular Genetics and Metabolism and Behavioural Brain 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.