Cameron Wellard

3.0k total citations
76 papers, 2.1k citations indexed

About

Cameron Wellard is a scholar working on Atomic and Molecular Physics, and Optics, Hematology and Oncology. According to data from OpenAlex, Cameron Wellard has authored 76 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Atomic and Molecular Physics, and Optics, 22 papers in Hematology and 19 papers in Oncology. Recurrent topics in Cameron Wellard's work include Quantum and electron transport phenomena (26 papers), Multiple Myeloma Research and Treatments (20 papers) and Quantum Computing Algorithms and Architecture (15 papers). Cameron Wellard is often cited by papers focused on Quantum and electron transport phenomena (26 papers), Multiple Myeloma Research and Treatments (20 papers) and Quantum Computing Algorithms and Architecture (15 papers). Cameron Wellard collaborates with scholars based in Australia, New Zealand and United States. Cameron Wellard's co-authors include Lloyd C. L. Hollenberg, Andrew D. Greentree, Philip D. Hodgkin, Austin G. Fowler, Mark R. Dowling, Andrew S. Dzurak, Ken R. Duffy, Gerhard Klimeck, Rajib Rahman and John Markham and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Cameron Wellard

63 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cameron Wellard Australia 22 1.1k 767 460 431 308 76 2.1k
Haitan Xu United States 16 1.5k 1.4× 371 0.5× 300 0.7× 480 1.1× 170 0.6× 44 2.1k
S. Miura Japan 25 740 0.7× 911 1.2× 142 0.3× 60 0.1× 58 0.2× 116 2.0k
Zehua Wang China 27 152 0.1× 157 0.2× 182 0.4× 118 0.3× 1.3k 4.2× 84 2.0k
Christian Brendel Germany 27 489 0.5× 139 0.2× 197 0.4× 34 0.1× 870 2.8× 86 2.3k
Adi Pick Israel 18 1.1k 1.0× 148 0.2× 148 0.3× 57 0.1× 116 0.4× 53 1.6k
Agedi Boto United States 6 854 0.8× 159 0.2× 380 0.8× 680 1.6× 362 1.2× 6 1.7k
Justin D. Cohen United States 16 401 0.4× 292 0.4× 23 0.1× 103 0.2× 359 1.2× 39 1.0k
T. Butler United Kingdom 17 236 0.2× 417 0.5× 60 0.1× 21 0.0× 202 0.7× 54 1.4k
Zixiang Wang China 20 297 0.3× 111 0.1× 52 0.1× 127 0.3× 321 1.0× 62 1.2k
Sahand Hormoz United States 16 172 0.2× 237 0.3× 73 0.2× 26 0.1× 796 2.6× 35 1.5k

Countries citing papers authored by Cameron Wellard

Since Specialization
Citations

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

Fields of papers citing papers by Cameron Wellard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cameron Wellard

This figure shows the co-authorship network connecting the top 25 collaborators of Cameron Wellard. A scholar is included among the top collaborators of Cameron Wellard 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 Cameron Wellard. Cameron Wellard 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.
2.
Wellard, Cameron, Zoe McQuilten, Stephen P. Mulligan, et al.. (2025). Characteristics of Australian and New Zealand patients with chronic lymphocytic leukaemia: a lymphoma and related diseases registry report. Internal Medicine Journal. 55(6). 937–943.
3.
4.
Wellard, Cameron, Allison Barraclough, Belinda A. Campbell, et al.. (2025). Definitions and use of tumor bulk in phase 3 lymphoma trials: a comprehensive literature review. Blood Advances. 9(9). 2275–2284.
5.
Caram‐Deelder, Camila, Hellen McKinnon Edwards, Thomas van den Akker, et al.. (2024). Efficacy and Safety Analyses of Recombinant Factor VIIa in Severe Post-Partum Hemorrhage. Journal of Clinical Medicine. 13(9). 2656–2656. 2 indexed citations
6.
Aoki, Naomi, Wenming Chen, Wee Joo Chng, et al.. (2024). The establishment of a multiple myeloma clinical registry in the Asia–Pacific region: The Asia–Pacific Myeloma and Related Diseases Registry (APAC MRDR). BMC Medical Research Methodology. 24(1). 102–102.
7.
Petrie, Dennis, Anthony Harris, Laura Fanning, et al.. (2024). Developing and validating a discrete-event simulation model of multiple myeloma disease outcomes and treatment pathways using a national clinical registry. PLoS ONE. 19(8). e0308812–e0308812.
8.
9.
Wellard, Cameron, Elizabeth S. Moore, Bradley Augustson, et al.. (2024). Integrating Chromosomal 1 Abnormalities into the Definition of High-Risk Multiple Myeloma: A Report from the Australian and New Zealand Myeloma and Related Diseases Registry. Blood. 144(Supplement 1). 1951–1951. 1 indexed citations
10.
Wellard, Cameron, Dipti Talaulikar, Michael Löw, et al.. (2023). The prognostic impact of t(11;14) in multiple myeloma: A real‐world analysis from the Australian Lymphoma Leukaemia Group (ALLG) and the Australian Myeloma and Related Diseases Registry (MRDR). SHILAP Revista de lepidopterología. 4(3). 639–646. 4 indexed citations
11.
12.
13.
Bergin, Krystal, Cameron Wellard, Bradley Augustson, et al.. (2021). Real-world utilisation of ASCT in multiple myeloma (MM): a report from the Australian and New Zealand myeloma and related diseases registry (MRDR). Bone Marrow Transplantation. 56(10). 2533–2543. 9 indexed citations
14.
Nickson, Carolyn, P. Procopio, Louiza S. Velentzis, et al.. (2018). Prospective validation of the NCI Breast Cancer Risk Assessment Tool (Gail Model) on 40,000 Australian women. Breast Cancer Research. 20(1). 155–155. 24 indexed citations
15.
Kinjyo, Ichiko, Jim Qin, Cameron Wellard, et al.. (2015). Real-time tracking of cell cycle progression during CD8+ effector and memory T-cell differentiation. Nature Communications. 6(1). 6301–6301. 117 indexed citations
16.
Chakravorty, Rajib, David Rawlinson, John Markham, et al.. (2014). Labour-Efficient In Vitro Lymphocyte Population Tracking and Fate Prediction Using Automation and Manual Review. PLoS ONE. 9(1). e83251–e83251. 6 indexed citations
17.
Markham, John, Cameron Wellard, Edwin D. Hawkins, Ken R. Duffy, & Philip D. Hodgkin. (2010). A minimum of two distinct heritable factors are required to explain correlation structures in proliferating lymphocytes. Journal of The Royal Society Interface. 7(48). 1049–1059. 21 indexed citations
18.
Wellard, Cameron, John Markham, Edwin D. Hawkins, & Philip D. Hodgkin. (2010). The effect of correlations on the population dynamics of lymphocytes. Journal of Theoretical Biology. 264(2). 443–449. 16 indexed citations
19.
Schlub, Timothy E., Vanessa Venturi, Katherine Kedzierska, et al.. (2009). Division‐linked differentiation can account for CD8+ T‐cell phenotype in vivo. European Journal of Immunology. 39(1). 67–77. 18 indexed citations
20.
Fowler, Austin G., Lloyd C. L. Hollenberg, Andrew D. Greentree, & Cameron Wellard. (2006). Spin transport and quasi 2D architectures for donor-based quantum computing. Bulletin of the American Physical Society. 1 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 Haitan Xu Breakdown of academic impact, for papers by S. Miura Breakdown of academic impact, for papers by Zehua Wang Breakdown of academic impact, for papers by Christian Brendel Breakdown of academic impact, for papers by Adi Pick Breakdown of academic impact, for papers by Agedi Boto Breakdown of academic impact, for papers by Justin D. Cohen Breakdown of academic impact, for papers by T. Butler Breakdown of academic impact, for papers by Zixiang Wang Breakdown of academic impact, for papers by Sahand Hormoz
Rankless by CCL
2026