Ian Bilmon

689 citations
12 papers · 214 · h-index 7

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 7
    • Acute Myeloid Leukemia Research 4
    • Mesenchymal stem cell research 2
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 1

Ian Bilmon

10 papers receiving 214 citations

Peers

Ian Bilmon
Comparison fields: 5 of 42
  • Hematology 94
  • Transplantation 19
  • Oncology 123
  • Immunology 54
  • Parasitology 13
Replace Sylvia Borchers with:
Sylvia Borchers Germany
Dušan Prevalšek Germany
Allyson Flower United States
Lauri Burroughs United States
Ioannis Politikos United States
Ming‐Celine Dubosq Australia
Gaurav Sutrave Australia
Shukaib Arslan United States
Danielle E. Arnold United States
Andy Roemhild Germany
Ian Bilmon relative to Sylvia Borchers Germany Sylvia Borchers's profile →
Citations per field
00.5×1.5×1.8×
Sylvia Borchers · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ian Bilmon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ian Bilmon Line = papers co-authored together Ian Bilmon links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201579
2 201541
3 201529
4 201222
5 201213
6 201813
7 20226
8 20185
9 20193
10 20203
11 20240
12 20230

About Ian Bilmon

Ian Bilmon is a scholar working on Hematology, Genetics, Pediatrics, Perinatology and Child Health, Oncology and Immunology, having authored 12 papers that have together received 214 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Acute Myeloid Leukemia Research (4 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Mesenchymal stem cell research (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Cytomegalovirus and herpesvirus research (1 paper) and Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper). The work is most often cited by research in Hematology (94 citations), Transplantation (19 citations), Oncology (123 citations), Immunology (54 citations) and Parasitology (13 citations). Ian Bilmon has collaborated with scholars based in Australia, New Zealand and United States. Frequent 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. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Cytotherapy, Blood, Journal of Clinical Oncology and Emerging infectious diseases.

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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