Ian Bilmon

689 total citations
12 papers, 214 citations indexed

About

Ian Bilmon is a scholar working on Hematology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ian Bilmon has authored 12 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 3 papers in Genetics and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ian Bilmon's work include Hematopoietic Stem Cell Transplantation (7 papers), Acute Myeloid Leukemia Research (4 papers) and Childhood Cancer Survivors' Quality of Life (3 papers). Ian Bilmon is often cited by papers focused on Hematopoietic Stem Cell Transplantation (7 papers), Acute Myeloid Leukemia Research (4 papers) and Childhood Cancer Survivors' Quality of Life (3 papers). Ian Bilmon collaborates with scholars based in Australia, New Zealand and United States. Ian Bilmon's co-authors include David Gottlieb, Emily Blyth, Kenneth Micklethwaite, Leighton Clancy, David Bishop, Ming‐Celine Dubosq, John Kwan, Kenneth F. Bradstock, Val Gebski and Gillian Huang and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Emerging infectious diseases.

In The Last Decade

Ian Bilmon

10 papers receiving 214 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Bilmon Australia 7 123 94 54 53 45 12 214
Danielle E. Arnold United States 7 56 0.5× 35 0.4× 144 2.7× 66 1.2× 62 1.4× 18 255
Shukaib Arslan United States 8 64 0.5× 133 1.4× 45 0.8× 36 0.7× 7 0.2× 30 228
Dušan Prevalšek Germany 8 197 1.6× 150 1.6× 94 1.7× 18 0.3× 57 1.3× 14 348
Sylvia Borchers Germany 12 146 1.2× 76 0.8× 159 2.9× 60 1.1× 92 2.0× 16 335
Gaurav Sutrave Australia 8 248 2.0× 31 0.3× 84 1.6× 84 1.6× 119 2.6× 17 346
Ming‐Celine Dubosq Australia 5 233 1.9× 52 0.6× 101 1.9× 55 1.0× 123 2.7× 5 403
Ioannis Politikos United States 9 123 1.0× 89 0.9× 63 1.2× 23 0.4× 15 0.3× 17 243
Senthil Velan Bhoopalan United States 8 25 0.2× 50 0.5× 21 0.4× 134 2.5× 56 1.2× 25 233
Sara Bolivar-Wagers United States 8 114 0.9× 37 0.4× 170 3.1× 45 0.8× 31 0.7× 10 250
Luciano Callegaro Italy 3 116 0.9× 31 0.3× 62 1.1× 45 0.8× 77 1.7× 4 156

Countries citing papers authored by Ian Bilmon

Since Specialization
Citations

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

Fields of papers citing papers by Ian Bilmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Bilmon

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

All Works

12 of 12 papers shown
2.
Hamad, Nada, Ian Bilmon, Andrea Henden, et al.. (2023). ANZTCT consensus position statement on ruxolitinib in steroid‐refractory acute and chronic graft‐versus‐host disease. Internal Medicine Journal. 53(12). 2319–2329.
3.
Tang, Catherine, Verity Chadwick, Kylie D. Mason, et al.. (2022). Capturing the lived experiences of women with lymphoma in pregnancy: a qualitative study. Leukemia & lymphoma. 64(2). 319–328. 6 indexed citations
5.
Getta, Bartlomiej, Gillian Huang, David R. Collins, et al.. (2019). Pre‐ and post‐bone marrow harvest anaemia is associated with lower CD34+ stem cell collection, high harvest volume and female gender. Internal Medicine Journal. 50(3). 299–306. 3 indexed citations
6.
Sutrave, Gaurav, Caitlin Keighley, Zoë Jennings, et al.. (2018). Anncaliia algerae Microsporidial Myositis, New South Wales, Australia. Emerging infectious diseases. 24(8). 1528–1531. 13 indexed citations
7.
Kliman, David, Ian Bilmon, John Kwan, et al.. (2018). Rescue haploidentical peripheral blood stem cell transplantation for engraftment failure: a single‐centre case series. Internal Medicine Journal. 48(8). 988–991. 5 indexed citations
9.
Bilmon, Ian, David Bishop, Ming‐Celine Dubosq, et al.. (2015). Low-cost generation of Good Manufacturing Practice–grade CD19-specific chimeric antigen receptor–expressing T cells using piggyBac gene transfer and patient-derived materials. Cytotherapy. 17(9). 1251–1267. 79 indexed citations
10.
Bradstock, Kenneth F., Ian Bilmon, John Kwan, et al.. (2015). Influence of Stem Cell Source on Outcomes of Allogeneic Reduced-Intensity Conditioning Therapy Transplants Using Haploidentical Related Donors. Biology of Blood and Marrow Transplantation. 21(9). 1641–1645. 29 indexed citations
11.
Blyth, Emily, Leighton Clancy, Renee Simms, et al.. (2012). Clinical-grade varicella zoster virus-specific T cells produced for adoptive immunotherapy in hemopoietic stem cell transplant recipients. Cytotherapy. 14(6). 724–732. 22 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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