Walid J. Azar

2.8k total citations
11 papers, 827 citations indexed

About

Walid J. Azar is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cancer Research. According to data from OpenAlex, Walid J. Azar has authored 11 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Walid J. Azar's work include Growth Hormone and Insulin-like Growth Factors (6 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Lipid metabolism and disorders (2 papers). Walid J. Azar is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (6 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Lipid metabolism and disorders (2 papers). Walid J. Azar collaborates with scholars based in Australia, Sweden and United States. Walid J. Azar's co-authors include George A. Werther, Vincenzo Russo, Matthew A. Sabin, Carleen Cullinane, Sue Haupt, Wayne A. Phillips, Nicholas J. Clemons, Karen G. Montgomery, Matthew Read and Cuong Duong and has published in prestigious journals such as Nature Communications, Cancer Research and Oncogene.

In The Last Decade

Walid J. Azar

11 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Walid J. Azar Australia 11 480 262 254 190 181 11 827
Mark Bandyk United States 13 413 0.9× 125 0.5× 373 1.5× 255 1.3× 88 0.5× 32 987
Ada Girnita Sweden 16 563 1.2× 195 0.7× 164 0.6× 75 0.4× 297 1.6× 22 823
Rosario Gil‐Benso Spain 19 330 0.7× 176 0.7× 146 0.6× 204 1.1× 41 0.2× 45 867
Debra M. Sutkowski United States 12 418 0.9× 149 0.6× 278 1.1× 409 2.2× 160 0.9× 15 921
Jin Hyung Heo South Korea 16 528 1.1× 374 1.4× 111 0.4× 56 0.3× 99 0.5× 38 860
Dongrong Yang China 21 654 1.4× 423 1.6× 235 0.9× 274 1.4× 61 0.3× 54 1.2k
Adheesh Bhandari China 18 514 1.1× 375 1.4× 138 0.5× 141 0.7× 115 0.6× 66 819
Agnes Witkiewicz United States 16 459 1.0× 244 0.9× 552 2.2× 166 0.9× 85 0.5× 25 1.1k
Ayush Dagvadorj United States 19 672 1.4× 206 0.8× 448 1.8× 270 1.4× 107 0.6× 23 1.2k
Maria Lúcia Hirata Katayama Brazil 19 464 1.0× 279 1.1× 367 1.4× 111 0.6× 73 0.4× 64 1.1k

Countries citing papers authored by Walid J. Azar

Since Specialization
Citations

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

Fields of papers citing papers by Walid J. Azar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walid J. Azar. 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 Walid J. Azar. The network helps show where Walid J. Azar may publish in the future.

Co-authorship network of co-authors of Walid J. Azar

This figure shows the co-authorship network connecting the top 25 collaborators of Walid J. Azar. A scholar is included among the top collaborators of Walid J. Azar 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 Walid J. Azar. Walid J. Azar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Azar, Walid J., Elizabeth L. Christie, Thomas J. Mitchell, et al.. (2020). Noncanonical IL6 Signaling-Mediated Activation of YAP Regulates Cell Migration and Invasion in Ovarian Clear Cell Cancer. Cancer Research. 80(22). 4960–4971. 14 indexed citations
2.
Liu, David S., Cuong Duong, Sue Haupt, et al.. (2017). Inhibiting the system xC−/glutathione axis selectively targets cancers with mutant-p53 accumulation. Nature Communications. 8(1). 14844–14844. 260 indexed citations
3.
Au‐Yeung, George, Walid J. Azar, Thomas J. Mitchell, et al.. (2016). Selective Targeting of Cyclin E1-Amplified High-Grade Serous Ovarian Cancer by Cyclin-Dependent Kinase 2 and AKT Inhibition. Clinical Cancer Research. 23(7). 1862–1874. 100 indexed citations
4.
Azar, Walid J., et al.. (2015). IGFBP-2 - taking the lead in growth, metabolism and cancer. Journal of Cell Communication and Signaling. 9(2). 125–142. 64 indexed citations
5.
Read, Matthew, Carleen Cullinane, Walid J. Azar, et al.. (2015). APR-246 potently inhibits tumour growth and overcomes chemoresistance in preclinical models of oesophageal adenocarcinoma. Gut. 64(10). 1506–1516. 72 indexed citations
6.
Russo, Vincenzo, et al.. (2014). IGFBP-2: The dark horse in metabolism and cancer. Cytokine & Growth Factor Reviews. 26(3). 329–346. 83 indexed citations
8.
Azar, Walid J., et al.. (2011). Desert hedgehogis a mammal-specific gene expressed during testicular and ovarian development in a marsupial. BMC Developmental Biology. 11(1). 72–72. 29 indexed citations
9.
Sabin, Matthew A., et al.. (2011). IGFBP-2 at the interface of growth and metabolism--implications for childhood obesity.. PubMed. 8(4). 382–93. 21 indexed citations
10.
Azar, Walid J., Ji‐Fan Hu, Andrew R. Hoffman, et al.. (2011). IGFBP-2 Enhances VEGF Gene Promoter Activity and Consequent Promotion of Angiogenesis by Neuroblastoma Cells. Endocrinology. 152(9). 3332–3342. 95 indexed citations
11.
Bajpai, Anurag, Peter Simm, Stephen J. McPherson, et al.. (2010). Peripubertal aromatase inhibition in male rats has adverse long-term effects on bone strength and growth and induces prostatic hyperplasia. Journal of Endocrinology. 207(1). 27–34. 14 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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