Luke Coyle

2.3k citations
53 papers · 1.8k · h-index 19

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
    • Blood groups and transfusion
  • Nephrology top 2%
    • Renal Diseases and Glomerulopathies

Papers in

Luke Coyle

52 papers receiving 1.7k citations

Peers

Luke Coyle
Comparison fields: 5 of 93
  • Hematology 673
  • Nephrology 253
  • Immunology 554
  • Genetics 220
  • Transplantation 50
Replace Bianca Serio with:
Bianca Serio Italy
Hisakazu Nishimori Japan
Samir Saheb France
Robert S.J. Makar United States
Kohei Thi Hosokawa Japan
Anne‐Claire Duchez Canada
Caterina Mele Italy
Nancy A. Turner United States
Masayoshi Miura Japan
Ken Toba Japan
Luke Coyle relative to Bianca Serio Italy Bianca Serio's profile →
Citations per field
00.5×1.5×2×2.3×
Bianca Serio · 1×
Citations per year

Countries citing papers authored by Luke Coyle

Since Specialization
Citations

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

Fields of papers citing papers by Luke Coyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luke Coyle, 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 Luke Coyle Line = papers co-authored together Luke Coyle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007528
2 2009272
3 2013113
4 200294
5 200374
6 202066
7 201661
8 202143
9 201742
10 199639
11 201338
12 201731
13 201731
14 201230
15 201330
16 200126
17 202223
18 199621
19 200620
20 202119

About Luke Coyle

Luke Coyle is a scholar working on Hematology, Pathology and Forensic Medicine, Oncology, Rheumatology and Genetics, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Acute Lymphoblastic Leukemia research (8 papers), Systemic Lupus Erythematosus Research (6 papers), Acute Myeloid Leukemia Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Multiple Myeloma Research and Treatments (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Hematology (673 citations), Nephrology (253 citations), Immunology (554 citations), Genetics (220 citations) and Transplantation (50 citations). Luke Coyle has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Peter Hillmen, Chieh‐Lin Fu, Jaroslaw Pawel Maciejewski, Jörg E. A. Schubert, Elisabetta Antonioli, Russell P. Rother, Neal Young, Hubert Schrezenmeier, Carlos de Castro Lozano and Robert Alan Brodsky. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, Journal of Thrombosis and Haemostasis and International Journal of Molecular Sciences.

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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