Jim Vadolas

1.7k total citations
63 papers, 1.4k citations indexed

About

Jim Vadolas is a scholar working on Genetics, Molecular Biology and Hematology. According to data from OpenAlex, Jim Vadolas has authored 63 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 31 papers in Molecular Biology and 12 papers in Hematology. Recurrent topics in Jim Vadolas's work include Hemoglobinopathies and Related Disorders (33 papers), CRISPR and Genetic Engineering (13 papers) and Iron Metabolism and Disorders (12 papers). Jim Vadolas is often cited by papers focused on Hemoglobinopathies and Related Disorders (33 papers), CRISPR and Genetic Engineering (13 papers) and Iron Metabolism and Disorders (12 papers). Jim Vadolas collaborates with scholars based in Australia, Thailand and United States. Jim Vadolas's 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 and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jim Vadolas

62 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jim Vadolas Australia 24 704 534 328 197 193 63 1.4k
Cécile Caubet France 19 447 0.6× 163 0.3× 67 0.2× 139 0.7× 167 0.9× 30 1.5k
Aiping Mao China 24 1.2k 1.7× 247 0.5× 206 0.6× 1.3k 6.7× 373 1.9× 55 2.4k
Earl W. Todd United States 10 310 0.4× 306 0.6× 406 1.2× 761 3.9× 89 0.5× 18 1.5k
Chad Storer United States 12 516 0.7× 85 0.2× 120 0.4× 414 2.1× 342 1.8× 18 1.5k
Eui Ho Kim United States 22 939 1.3× 68 0.1× 384 1.2× 816 4.1× 96 0.5× 38 1.9k
Peter R. Wilker United States 13 300 0.4× 57 0.1× 251 0.8× 535 2.7× 135 0.7× 16 1.3k
Matija Rijavec Slovenia 23 381 0.5× 136 0.3× 34 0.1× 401 2.0× 63 0.3× 73 1.4k
B.W. Gurner United Kingdom 20 324 0.5× 101 0.2× 268 0.8× 728 3.7× 141 0.7× 44 1.4k
Katherine C. MacNamara United States 23 199 0.3× 90 0.2× 280 0.9× 814 4.1× 52 0.3× 43 1.3k
Matthew L. Wheeler United States 14 875 1.2× 48 0.1× 62 0.2× 572 2.9× 93 0.5× 17 1.6k

Countries citing papers authored by Jim Vadolas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jim Vadolas

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Vadolas. A scholar is included among the top collaborators of Jim Vadolas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jim Vadolas. Jim Vadolas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Vadolas, Jim, et al.. (2025). Iron induces blood-brain barrier alteration contributing to cognitive impairment in β-thalassaemia mice. Scientific Reports. 15(1). 533–533. 2 indexed citations
2.
Vadolas, Jim, et al.. (2024). Cognitive impairment and hippocampal neuronal damage in β-thalassaemia mice. Scientific Reports. 14(1). 10054–10054. 3 indexed citations
3.
Vadolas, Jim, et al.. (2022). Lipofection of Non-integrative CRISPR/Cas9 Ribonucleoproteins in Male Germline Stem Cells: A Simple and Effective Knockout Tool for Germline Genome Engineering. Frontiers in Cell and Developmental Biology. 10. 891173–891173. 4 indexed citations
4.
Munkongdee, Thongperm, et al.. (2021). Trienone analogs of curcuminoids induce fetal hemoglobin synthesis via demethylation at Gγ-globin gene promoter. Scientific Reports. 11(1). 8552–8552. 6 indexed citations
5.
McColl, Bradley & Jim Vadolas. (2016). Animal models of β-hemoglobinopathies: utility and limitations. SHILAP Revista de lepidopterología. 1 indexed citations
6.
Howden, Sara E., Bradley McColl, Jim Vadolas, et al.. (2016). A Cas9 Variant for Efficient Generation of Indel-Free Knockin or Gene-Corrected Human Pluripotent Stem Cells. Stem Cell Reports. 7(3). 508–517. 80 indexed citations
7.
McColl, Bradley & Jim Vadolas. (2016). Animal models of β-hemoglobinopathies: utility and limitations. Journal of Blood Medicine. Volume 7. 263–274. 24 indexed citations
8.
Wienert, Beeke, Alister P. W. Funnell, Laura J. Norton, et al.. (2015). Editing the genome to introduce a beneficial naturally occurring mutation associated with increased fetal globin. Nature Communications. 6(1). 7085–7085. 99 indexed citations
9.
Brown, Fiona C., Nicholas A. Scott, Gerhard Rank, et al.. (2012). ENU mutagenesis identifies the first mouse mutants reproducing human β-thalassemia at the genomic level. Blood Cells Molecules and Diseases. 50(2). 86–92. 15 indexed citations
10.
Changtam, Chatchawan, Pranee Winichagoon, Jim Vadolas, et al.. (2012). A reduced curcuminoid analog as a novel inducer of fetal hemoglobin. Annals of Hematology. 92(3). 379–386. 12 indexed citations
11.
Phisalaphong, Chada, Narissara Lailerd, Nipon Chattipakorn, et al.. (2010). Reversal of Cardiac Iron Loading and Dysfunction in Thalassemic Mice by Curcuminoids. Medicinal Chemistry. 7(1). 62–69. 33 indexed citations
12.
Vadolas, Jim, et al.. (2009). Integration of functional bacterial artificial chromosomes into human cord blood-derived multipotent stem cells. Gene Therapy. 16(3). 404–414. 8 indexed citations
13.
Howden, Sara E., Lucille Voullaire, & Jim Vadolas. (2007). The transient expression of mRNA coding for Rep protein from AAV facilitates targeted plasmid integration. The Journal of Gene Medicine. 10(1). 42–50. 12 indexed citations
14.
Voon, Hsiao P. J., Hady Wardan, & Jim Vadolas. (2007). Co-inheritance of α- and β-thalassaemia in mice ameliorates thalassaemic phenotype. Blood Cells Molecules and Diseases. 39(2). 184–188. 17 indexed citations
15.
Jamsai, Duangporn, Jim Vadolas, Lucille Voullaire, et al.. (2005). A humanized mouse model for a common β0-thalassemia mutation. Genomics. 85(4). 453–461. 41 indexed citations
16.
Al‐Hasani, Keith, Jim Vadolas, Lucille Voullaire, Robert Williamson, & Panayiotis A. Ioannou. (2004). Complementation of α-thalassaemia in α-globin Knockout Mice with a 191 kb Transgene Containing the Human α-Globin Locus. Transgenic Research. 13(3). 235–243. 12 indexed citations
17.
Vadolas, Jim. (2003). Cellular genomic reporter assays for screening and evaluation of inducers of fetal hemoglobin. Human Molecular Genetics. 13(2). 223–233. 24 indexed citations
18.
Kapsa, Robert M. I., Anita Quigley, Jim Vadolas, et al.. (2002). Targeted gene correction in the mdx mouse using short DNA fragments: towards application with bone marrow-derived cells for autologous remodeling of dystrophic muscle. Gene Therapy. 9(11). 695–699. 24 indexed citations
19.
Vadolas, Jim, R. Williamson, & P.A. Ioannou. (2002). Gene Therapy for Inherited Lung Disorders: An Insight into Pulmonary Defence. Pulmonary Pharmacology & Therapeutics. 15(1). 61–72. 19 indexed citations
20.

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.

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