Paul Wang

1.9k total citations
32 papers, 494 citations indexed

About

Paul Wang is a scholar working on Hematology, Genetics and Surgery. According to data from OpenAlex, Paul Wang has authored 32 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hematology, 10 papers in Genetics and 7 papers in Surgery. Recurrent topics in Paul Wang's work include Chronic Myeloid Leukemia Treatments (11 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Acute Lymphoblastic Leukemia research (4 papers). Paul Wang is often cited by papers focused on Chronic Myeloid Leukemia Treatments (11 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Acute Lymphoblastic Leukemia research (4 papers). Paul Wang collaborates with scholars based in Australia, United States and United Kingdom. Paul Wang's co-authors include Bruce Gray, Masanori Ichise, George Wortzman, Dae-Gyun Chung, Andreas Schreiber, Susan Branford, Hamish S. Scott, Raymond Guiteras, Giordano Palloni and Wendy T Parker and has published in prestigious journals such as Blood, Bioinformatics and Acta Biomaterialia.

In The Last Decade

Paul Wang

32 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Wang Australia 12 118 114 114 95 69 32 494
Haitao Xu China 14 88 0.7× 45 0.4× 111 1.0× 216 2.3× 44 0.6× 53 717
Xia Wu China 14 119 1.0× 30 0.3× 48 0.4× 81 0.9× 43 0.6× 55 573
Navid Sadeghi United States 16 127 1.1× 34 0.3× 100 0.9× 308 3.2× 46 0.7× 61 860
Fernando Franco Spain 14 71 0.6× 80 0.7× 61 0.5× 215 2.3× 52 0.8× 44 803
Corey Pelletier United States 17 103 0.9× 56 0.5× 49 0.4× 184 1.9× 29 0.4× 76 841
Daniela Opriș-Belinski Romania 11 41 0.3× 37 0.3× 48 0.4× 57 0.6× 21 0.3× 89 557
Gary D. Bonner United States 9 137 1.2× 267 2.3× 91 0.8× 148 1.6× 35 0.5× 13 685
Lynda McGahan Canada 11 90 0.8× 34 0.3× 46 0.4× 91 1.0× 15 0.2× 29 495
Daniel Feinberg United States 12 51 0.4× 70 0.6× 64 0.6× 169 1.8× 9 0.1× 25 440

Countries citing papers authored by Paul Wang

Since Specialization
Citations

This map shows the geographic impact of Paul Wang'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 Paul Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Wang more than expected).

Fields of papers citing papers by Paul Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Wang. 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 Paul Wang. The network helps show where Paul Wang may publish in the future.

Co-authorship network of co-authors of Paul Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Wang. A scholar is included among the top collaborators of Paul Wang 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 Paul Wang. Paul Wang 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.
Carter, Dan, Shishir Dube, Paul Wang, et al.. (2024). AI-luminating Artificial Intelligence in Inflammatory Bowel Diseases: A Narrative Review on the Role of AI in Endoscopy, Histology, and Imaging for IBD. Inflammatory Bowel Diseases. 30(12). 2467–2485. 11 indexed citations
2.
Shanmuganathan, Naranie, Carol Wadham, Daniel Thomson, et al.. (2022). RNA-Based Targeted Gene Sequencing Improves the Diagnostic Yield of Mutant Detection in Chronic Myeloid Leukemia. Journal of Molecular Diagnostics. 24(7). 803–822. 5 indexed citations
3.
4.
Li, Manjun, Melinda N. Tea, Melissa R. Pitman, et al.. (2021). Resensitising proteasome inhibitor-resistant myeloma with sphingosine kinase 2 inhibition. Neoplasia. 24(1). 1–11. 13 indexed citations
5.
Byrne, Alicia B., Jinghua Feng, Thuong Ha, et al.. (2021). Compound heterozygous variants in LAMC3 in association with posterior periventricular nodular heterotopia. BMC Medical Genomics. 14(1). 64–64. 5 indexed citations
6.
Arts, Peer, Alicia B. Byrne, Tristan Hardy, et al.. (2020). Paternal mosaicism for a novel PBX1 mutation associated with recurrent perinatal death: Phenotypic expansion of the PBX1‐related syndrome. American Journal of Medical Genetics Part A. 182(5). 1273–1277. 11 indexed citations
7.
Sousa, Sunita M C De, John Toubia, Tristan Hardy, et al.. (2020). Aberrant Splicing of SDHC in Families With Unexplained Succinate Dehydrogenase-Deficient Paragangliomas. Journal of the Endocrine Society. 4(12). bvaa071–bvaa071. 12 indexed citations
8.
Thomson, Daniel, Nur Hezrin Shahrin, Paul Wang, et al.. (2020). Aberrant RAG-mediated recombination contributes to multiple structural rearrangements in lymphoid blast crisis of chronic myeloid leukemia. Leukemia. 34(8). 2051–2063. 24 indexed citations
9.
Sousa, Sunita M C De, Jim Manavis, Jinghua Feng, et al.. (2020). A putative role for the aryl hydrocarbon receptor (AHR) gene in a patient with cyclical Cushing’s disease. BMC Endocrine Disorders. 20(1). 18–18. 6 indexed citations
10.
Thomson, Daniel, Nur Hezrin Shahrin, Paul Wang, et al.. (2018). High Recombination Activating Gene (RAG) Expression and RAG Mediated Recombination Is Associated with Oncogenic Rearrangement Observed with Tyrosine Kinase Inhibitor Resistant CML. Blood. 132(Supplement 1). 3001–3001. 1 indexed citations
11.
Hahn, Christopher N, Milena Babic, Jinghua Feng, et al.. (2017). Duplication on Chromosome 14q Identified in Familial Predisposition to Myeloid Malignancies and Myeloproliferative Neoplasms. Blood. 130. 492–492. 3 indexed citations
12.
Marum, Justine E., David T Yeung, Leanne Purins, et al.. (2017). ASXL1 and BIM germ line variants predict response and identify CML patients with the greatest risk of imatinib failure. Blood Advances. 1(18). 1369–1381. 18 indexed citations
13.
Guiteras, Raymond, et al.. (2016). Microcredit and willingness to pay for environmental quality: Evidence from a randomized-controlled trial of finance for sanitation in rural Cambodia. Journal of Environmental Economics and Management. 86. 121–140. 60 indexed citations
14.
Wang, Paul, Wendy T Parker, Susan Branford, & Andreas Schreiber. (2016). BAM-matcher: a tool for rapid NGS sample matching. Bioinformatics. 32(17). 2699–2701. 25 indexed citations
15.
16.
Branford, Susan, Paul Wang, Wendy T Parker, et al.. (2015). High Incidence of Mutated Cancer-Associated Genes at Diagnosis in CML Patients with Early Transformation to Blast Crisis. Blood. 126(23). 600–600. 3 indexed citations
17.
Rennert, Robert C., Kristine C. Rustad, Kemal Levi, et al.. (2014). A histological and mechanical analysis of the cardiac lead–tissue interface: implications for lead extraction. Acta Biomaterialia. 10(5). 2200–2208. 19 indexed citations
18.
Wang, Paul & Ilya Ruvinsky. (2012). Family Size and Turnover Rates among Several Classes of Small Non–Protein-Coding RNA Genes in Caenorhabditis Nematodes. Genome Biology and Evolution. 4(4). 565–574. 5 indexed citations
19.
Wang, Paul & Ilya Ruvinsky. (2009). Computational prediction of Caenorhabditis box H/ACA snoRNAs using genomic properties of their host genes. RNA. 16(2). 290–298. 7 indexed citations
20.
Carhuapoma, J. Ricardo, Paul Wang, Norman J. Beauchamp, Daniel F. Hanley, & Peter B. Barker. (2005). Diffusion–Perfusion MR Evaluation and Spectroscopy Before and After Surgical Therapy for Intracerebral Hemorrhage. Neurocritical Care. 2(1). 23–28. 7 indexed citations

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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