Jim Vadolas
Impact in
- Genetics top 2%
- Hemoglobinopathies and Related Disorders
- Virus-based gene therapy research
- Hematology top 5%
- Iron Metabolism and Disorders
Papers in ⓘ
- Genetics 35
- Hemoglobinopathies and Related Disorders 33
- Virus-based gene therapy research 9
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- CRISPR and Genetic Engineering 13
- RNA Interference and Gene Delivery 7
- Epigenetics and DNA Methylation 7
- RNA modifications and cancer 6
- Co-authors
- Bradley McColl (11 shared papers)Richard A. Strugnell (7 shared papers)Hsiao P. J. Voon (5 shared papers)Suthat Fucharoen (17 shared papers)Hady Wardan (13 shared papers)Lucille Voullaire (11 shared papers)Robert Williamson (10 shared papers)Panayiotis A. Ioannou (8 shared papers)
- Journals
- Scientific Reports (5 papers)British Journal of Haematology (4 papers)Haematologica (3 papers)Gene Therapy (3 papers)The FASEB Journal (3 papers)
- Partner nations
- AustraliaThailandUnited States
In The Last Decade
Jim Vadolas
62 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Genetics 534
- Hematology 328
- Aging 19
- Molecular Biology 704
- Immunology 197
Countries citing papers authored by Jim Vadolas
This map shows the geographic impact of Jim Vadolas'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 Jim Vadolas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Vadolas more than expected).
Fields of papers citing papers by Jim Vadolas
This network shows the impact of papers produced by Jim Vadolas. 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 Jim Vadolas. The network helps show where Jim Vadolas may publish in the future.
Co-authors
The 25 scholars most cited alongside Jim Vadolas, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 99 | |
| 2 | 2016 | 80 | |
| 3 | 1997 | 57 | |
| 4 | 1990 | 48 | |
| 5 | 1995 | 47 | |
| 6 | 2016 | 47 | |
| 7 | 1998 | 47 | |
| 8 | 2008 | 46 | |
| 9 | 1997 | 43 | |
| 10 | 2005 | 41 | |
| 11 | 2006 | 39 | |
| 12 | 1998 | 38 | |
| 13 | 2010 | 37 | |
| 14 | 1997 | 36 | |
| 15 | 2009 | 35 | |
| 16 | 2010 | 33 | |
| 17 | 2013 | 31 | |
| 18 | 2006 | 28 | |
| 19 | 2004 | 28 | |
| 20 | 2017 | 26 |
About Jim Vadolas
Jim Vadolas is a scholar working on Genetics, Molecular Biology, Hematology, Genetics and Physiology, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (33 papers), CRISPR and Genetic Engineering (13 papers), Iron Metabolism and Disorders (12 papers), Erythrocyte Function and Pathophysiology (10 papers), Virus-based gene therapy research (9 papers), RNA Interference and Gene Delivery (7 papers), Epigenetics and DNA Methylation (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Genetics (534 citations), Hematology (328 citations), Aging (19 citations), Molecular Biology (704 citations) and Immunology (197 citations). Jim Vadolas has collaborated with scholars based in Australia, Thailand and United States. Frequent co-authors include Bradley McColl, Richard A. Strugnell, Hsiao P. J. Voon, Suthat Fucharoen, Hady Wardan, Lucille Voullaire, Robert Williamson, Panayiotis A. Ioannou, Saovaros Svasti and Odilia Wijburg. Their work appears in journals such as Scientific Reports, British Journal of Haematology, Haematologica, Gene Therapy and The FASEB Journal.
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.