Justin Arnall

569 citations
47 papers · 350 · h-index 12

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Platelet Disorders and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Pharmaceutical Practices and Patient Outcomes

Papers in

    • Multiple Myeloma Research and Treatments 9
    • Blood groups and transfusion 5
    • Platelet Disorders and Treatments 5
    • Hematopoietic Stem Cell Transplantation 4
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3

Justin Arnall

41 papers receiving 344 citations

Peers

Justin Arnall
Comparison fields: 5 of 65
  • Hematology 110
  • Geriatrics and Gerontology 29
  • Transplantation 15
  • Genetics 42
  • Pharmacology 34
Replace Sepideh Shayani with:
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C Sgro France
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Citations per field
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Citations per year

Countries citing papers authored by Justin Arnall

Since Specialization
Citations

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

Fields of papers citing papers by Justin Arnall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201929
2 201625
3 202024
4 202424
5 201822
6 201718
7 202015
8 201513
9 202213
10 201512
11 202011
12 201911
13 202011
14 202010
15 202110
16 20189
17 20187
18 20206
19 20186
20 20196

About Justin Arnall

Justin Arnall is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 47 papers that have together received 350 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), Blood groups and transfusion (5 papers), Platelet Disorders and Treatments (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers) and Complement system in diseases (3 papers). The work is most often cited by research in Hematology (110 citations), Geriatrics and Gerontology (29 citations), Transplantation (15 citations), Genetics (42 citations) and Pharmacology (34 citations). Justin Arnall has collaborated with scholars based in United States. Frequent co-authors include Donald C. Moore, Jai N. Patel, Peter M. Voorhees, Edward A. Copelan, Daniel M. Riche, Krista D. Riche, Dragos Plesca, LeAnne Kennedy, Honey E. East and R. Donald Harvey. Their work appears in journals such as Blood, Annals of Pharmacotherapy, American Journal of Health-System Pharmacy, International Immunopharmacology and Biology of Blood and Marrow Transplantation.

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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