Carol Wadham

2.2k total citations
43 papers, 1.5k citations indexed

About

Carol Wadham is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Carol Wadham has authored 43 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Hematology and 9 papers in Genetics. Recurrent topics in Carol Wadham's work include Chronic Myeloid Leukemia Treatments (12 papers), Sphingolipid Metabolism and Signaling (9 papers) and Chronic Lymphocytic Leukemia Research (8 papers). Carol Wadham is often cited by papers focused on Chronic Myeloid Leukemia Treatments (12 papers), Sphingolipid Metabolism and Signaling (9 papers) and Chronic Lymphocytic Leukemia Research (8 papers). Carol Wadham collaborates with scholars based in Australia, United States and United Kingdom. Carol Wadham's co-authors include Pu Xia, Mathew A. Vadas, Olga Sukocheva, Jennifer R. Gamble, Yeesim Khew‐Goodall, Nathaniel Albanese, Gerry Rayman, Andrew Holmes, Lijun Wang and Arduino A. Mangoni and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and The Journal of Cell Biology.

In The Last Decade

Carol Wadham

42 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carol Wadham Australia 23 864 262 209 169 169 43 1.5k
Christos Adamopoulos Greece 28 887 1.0× 225 0.9× 179 0.9× 167 1.0× 186 1.1× 57 2.0k
Jerzy‐Roch Nofer Germany 13 749 0.9× 212 0.8× 297 1.4× 140 0.8× 247 1.5× 23 1.5k
Tsugumichi Saito Japan 18 568 0.7× 164 0.6× 249 1.2× 103 0.6× 119 0.7× 69 1.1k
Yasushi Shikata Japan 20 763 0.9× 267 1.0× 187 0.9× 124 0.7× 295 1.7× 38 1.8k
Giulio R. Romeo United States 21 783 0.9× 134 0.5× 357 1.7× 206 1.2× 267 1.6× 44 2.1k
Eijiro Yamada Japan 20 601 0.7× 196 0.7× 343 1.6× 235 1.4× 68 0.4× 100 1.2k
Tohru Yamazaki Japan 18 702 0.8× 158 0.6× 157 0.8× 118 0.7× 213 1.3× 48 1.7k
Susan C. Kiley United States 23 1.2k 1.4× 240 0.9× 100 0.5× 126 0.7× 159 0.9× 36 1.9k
Seiji Inoshita Japan 19 1.0k 1.2× 127 0.5× 108 0.5× 80 0.5× 142 0.8× 38 1.5k
Eliezer J. Holtzman Israel 25 1.2k 1.4× 316 1.2× 278 1.3× 119 0.7× 72 0.4× 69 2.1k

Countries citing papers authored by Carol Wadham

Since Specialization
Citations

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

Fields of papers citing papers by Carol Wadham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Wadham

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Wadham. A scholar is included among the top collaborators of Carol Wadham 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 Carol Wadham. Carol Wadham 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
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Branford, Susan, et al.. (2024). Beyond BCR::ABL1—The Role of Genomic Analyses in the Management of CML. Journal of the National Comprehensive Cancer Network. 22(1). 3 indexed citations
4.
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
5.
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
6.
Gifford, Andrew J., Carol Wadham, Emily Mould, et al.. (2020). CD30 and ALK combination therapy has high therapeutic potency in RANBP2-ALK-rearranged epithelioid inflammatory myofibroblastic sarcoma. British Journal of Cancer. 123(7). 1101–1113. 21 indexed citations
7.
Ng, Mah Lee, Carol Wadham, & Olga Sukocheva. (2017). The role of sphingolipid signalling in diabetes-associated pathologies (Review). International Journal of Molecular Medicine. 39(2). 243–252. 62 indexed citations
8.
Zhang, Hui, Yiqian Chen, Carol Wadham, et al.. (2014). Dipeptidyl peptidase 9 subcellular localization and a role in cell adhesion involving focal adhesion kinase and paxillin. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1853(2). 470–480. 35 indexed citations
9.
Saletta, Federica, Carol Wadham, David S. Ziegler, et al.. (2014). Molecular profiling of childhood cancer: Biomarkers and novel therapies. PubMed. 1. 59–77. 29 indexed citations
10.
Sukocheva, Olga & Carol Wadham. (2013). Role of sphingolipids in oestrogen signalling in breast cancer cells: an update. Journal of Endocrinology. 220(3). R25–R35. 31 indexed citations
11.
Murphy, Helen, et al.. (2012). Randomized trial of a diabetes self‐management education and family teamwork intervention in adolescents with Type 1 diabetes. Diabetic Medicine. 29(8). e249–54. 60 indexed citations
12.
Sukocheva, Olga, Carol Wadham, & Pu Xia. (2012). Estrogen defines the dynamics and destination of transactivated EGF receptor in breast cancer cells: Role of S1P3 receptor and Cdc42. Experimental Cell Research. 319(4). 455–465. 27 indexed citations
13.
Xia, Pu & Carol Wadham. (2010). Sphingosine 1-phosphate, a key mediator of the cytokine network: Juxtacrine signaling. Cytokine & Growth Factor Reviews. 22(1). 45–53. 42 indexed citations
14.
Zhang, Ning, Yanfei Qi, Carol Wadham, et al.. (2010). FTY720 induces necrotic cell death and autophagy in ovarian cancer cells: A protective role of autophagy. Autophagy. 6(8). 1157–1167. 109 indexed citations
15.
Wadham, Carol & Arduino A. Mangoni. (2009). Dimethylarginine dimethylaminohydrolase regulation: a novel therapeutic target in cardiovascular disease. Expert Opinion on Drug Metabolism & Toxicology. 5(3). 303–319. 48 indexed citations
16.
Sukocheva, Olga, Carol Wadham, & Pu Xia. (2009). Role of sphingolipids in the cytoplasmic signaling of estrogens. Steroids. 74(7). 562–567. 22 indexed citations
17.
Murphy, Helen, Carol Wadham, Gerry Rayman, & Timothy Skinner. (2007). Approaches to integrating paediatric diabetes care and structured education: experiences from the Families, Adolescents, and Children's Teamwork Study (FACTS). Diabetic Medicine. 24(11). 1261–1268. 56 indexed citations
18.
Wang, Lijun, Xiaoping Xing, Andrew Holmes, et al.. (2005). Activation of the Sphingosine Kinase–Signaling Pathway by High Glucose Mediates the Proinflammatory Phenotype of Endothelial Cells. Circulation Research. 97(9). 891–899. 62 indexed citations
19.
Khew‐Goodall, Yeesim & Carol Wadham. (2005). A Perspective on Regulation of Cell-Cell Adhesion and Epithelial-Mesenchymal Transition: Known and Novel. Cells Tissues Organs. 179(1-2). 81–86. 17 indexed citations
20.
Wadham, Carol, Jennifer R. Gamble, Mathew A. Vadas, & Yeesim Khew‐Goodall. (2003). The Protein Tyrosine Phosphatase Pez Is a Major Phosphatase of Adherens Junctions and Dephosphorylates β-Catenin. Molecular Biology of the Cell. 14(6). 2520–2529. 73 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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