Mahesh Iddawela

648 total citations
31 papers, 373 citations indexed

About

Mahesh Iddawela is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mahesh Iddawela has authored 31 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 10 papers in Cancer Research and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mahesh Iddawela's work include Breast Cancer Treatment Studies (6 papers), Cancer Treatment and Pharmacology (4 papers) and Ovarian cancer diagnosis and treatment (4 papers). Mahesh Iddawela is often cited by papers focused on Breast Cancer Treatment Studies (6 papers), Cancer Treatment and Pharmacology (4 papers) and Ovarian cancer diagnosis and treatment (4 papers). Mahesh Iddawela collaborates with scholars based in Australia, United Kingdom and Japan. Mahesh Iddawela's co-authors include Helena Earl, Bishal Gyawali, Carlos Caldas, Saif Ahmad, Pippa Corrie, Michael C. Lewis, Elena Provenzano, Louise Hiller, Jean Abraham and Janet Dunn and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Cancer and BMC Genomics.

In The Last Decade

Mahesh Iddawela

28 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahesh Iddawela Australia 13 172 100 70 58 42 31 373
Éric-Charles Antoine France 12 256 1.5× 112 1.1× 121 1.7× 53 0.9× 30 0.7× 29 485
Larry G. Maxwell United States 8 199 1.2× 49 0.5× 111 1.6× 73 1.3× 54 1.3× 12 528
Navdeep Pal United States 11 189 1.1× 90 0.9× 91 1.3× 42 0.7× 22 0.5× 26 689
Sasha Lupichuk Canada 10 157 0.9× 79 0.8× 86 1.2× 31 0.5× 25 0.6× 29 328
Hee-Chul Shin South Korea 9 164 1.0× 156 1.6× 102 1.5× 32 0.6× 72 1.7× 35 417
Jodi Lynch Australia 13 189 1.1× 95 0.9× 73 1.0× 81 1.4× 12 0.3× 26 490
Stella Winters United States 3 179 1.0× 106 1.1× 125 1.8× 22 0.4× 38 0.9× 6 386
Yasushi Iida Japan 12 148 0.9× 136 1.4× 191 2.7× 69 1.2× 63 1.5× 31 668
Carmel Malone Ireland 11 213 1.2× 179 1.8× 138 2.0× 62 1.1× 63 1.5× 22 551
Claire S. Zhu United States 7 108 0.6× 153 1.5× 161 2.3× 62 1.1× 31 0.7× 10 503

Countries citing papers authored by Mahesh Iddawela

Since Specialization
Citations

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

Fields of papers citing papers by Mahesh Iddawela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahesh Iddawela

This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh Iddawela. A scholar is included among the top collaborators of Mahesh Iddawela 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 Mahesh Iddawela. Mahesh Iddawela 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.
Crawford‐Williams, Fiona, Nicolas H. Hart, Meinir Krishnasamy, et al.. (2025). Quality cancer survivorship care: a modified Delphi study to define nurse capabilities. Journal of Cancer Survivorship.
2.
Rahman, Md. Mijanur, et al.. (2024). Utilisation of Medicare chronic disease management item numbers for people with cancer in Queensland, Australia. Australian Health Review. 48(6). 626–633. 1 indexed citations
3.
Andrews, Miles C., Gerald Li, Ryon P. Graf, et al.. (2024). Predictive Impact of Tumor Mutational Burden on Real-World Outcomes of First-Line Immune Checkpoint Inhibition in Metastatic Melanoma. JCO Precision Oncology. 8(8). e2300640–e2300640. 8 indexed citations
4.
Crawford‐Williams, Fiona, Bogda Koczwara, Raymond J. Chan, et al.. (2022). Defining research and infrastructure priorities for cancer survivorship in Australia: a modified Delphi study. Supportive Care in Cancer. 30(5). 3805–3815. 19 indexed citations
5.
Koczwara, Bogda, Richard J. Cohn, Raymond J. Chan, et al.. (2021). Personalised cancer care in the era of precision medicine. Australian Journal of General Practice. 50(8). 533–537. 10 indexed citations
6.
7.
Qu, Liang G., Hady Wardan, Ian D. Davis, et al.. (2019). Circulating oestrogen receptor mutations and splice variants in advanced prostate cancer. British Journal of Urology. 124(S1). 50–56. 12 indexed citations
8.
Iddawela, Mahesh, Carmel Pezaro, Pavel Sluka, et al.. (2018). Association of androgen receptor (AR) copy number gain with ARV7 expression and response to chemotherapy.. Journal of Clinical Oncology. 36(6_suppl). 180–180. 1 indexed citations
9.
Gyawali, Bishal, et al.. (2016). Continuous versus intermittent docetaxel for metastatic castration resistant prostate cancer. Critical Reviews in Oncology/Hematology. 102. 118–124. 4 indexed citations
10.
Gyawali, Bishal, Bishesh Sharma Poudyal, & Mahesh Iddawela. (2016). Cheaper Options in the Prevention of Chemotherapy-Induced Nausea and Vomiting. Journal of Global Oncology. 2(3). 145–153. 16 indexed citations
11.
Ali, H. Raza, Aliakbar Dariush, Elena Provenzano, et al.. (2016). Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer. Breast Cancer Research. 18(1). 21–21. 64 indexed citations
12.
Lee, Belinda, Hui‐Li Wong, Jeanne Tie, et al.. (2016). Impact of anti-VEGF therapy in metastatic colorectal cancer with an intact primary tumour.. Journal of Clinical Oncology. 34(4_suppl). 650–650. 1 indexed citations
13.
Iddawela, Mahesh, Oscar M. Rueda, Marcus D. R. Klarqvist, et al.. (2016). Reliable gene expression profiling of formalin-fixed paraffin-embedded breast cancer tissue (FFPE) using cDNA-mediated annealing, extension, selection, and ligation whole-genome (DASL WG) assay. BMC Medical Genomics. 9(1). 54–54. 8 indexed citations
14.
Sayal, Karen, Ioannis Gounaris, Bristi Basu, et al.. (2015). Epirubicin, Cisplatin, and Capecitabine for Primary Platinum-Resistant or Platinum-Refractory Epithelial Ovarian Cancer. International Journal of Gynecological Cancer. 25(6). 977–984. 12 indexed citations
15.
Provenzano, Elena, S. Bowden, Alex Grier, et al.. (2013). A central review of histopathology reports after breast cancer neoadjuvant chemotherapy in the neo-tango trial. British Journal of Cancer. 108(4). 866–872. 23 indexed citations
16.
Iddawela, Mahesh, et al.. (2013). Safety and efficacy of vemurafenib in end stage renal failure. BMC Cancer. 13(1). 581–581. 11 indexed citations
17.
Earl, Helena, Suet‐Feung Chin, Mark Dunning, et al.. (2013). Neo-tAnGo science: A translational study of PAM 50 sub-typing in sequential fresh tissue samples during neoadjuvant chemotherapy.. Journal of Clinical Oncology. 31(15_suppl). 1015–1015. 1 indexed citations
18.
Gounaris, Ioannis, Elena Provenzano, Anne-Laure Vallier, et al.. (2011). Accuracy of unidimensional and volumetric ultrasound measurements in predicting good pathological response to neoadjuvant chemotherapy in breast cancer patients. Breast Cancer Research and Treatment. 127(2). 459–469. 22 indexed citations
19.
20.
Earl, Helena & Mahesh Iddawela. (2004). Epirubicin as adjuvant therapy in breast cancer. Expert Review of Anticancer Therapy. 4(2). 189–195. 8 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Éric-Charles Antoine Breakdown of academic impact, for papers by Larry G. Maxwell Breakdown of academic impact, for papers by Navdeep Pal Breakdown of academic impact, for papers by Sasha Lupichuk Breakdown of academic impact, for papers by Hee-Chul Shin Breakdown of academic impact, for papers by Jodi Lynch Breakdown of academic impact, for papers by Stella Winters Breakdown of academic impact, for papers by Yasushi Iida Breakdown of academic impact, for papers by Carmel Malone Breakdown of academic impact, for papers by Claire S. Zhu
Rankless by CCL
2026