Nigel Patton

674 citations
12 papers · 276 · h-index 7

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research

Papers in

    • Hematopoietic Stem Cell Transplantation 5
    • Acute Myeloid Leukemia Research 2
    • Multiple Myeloma Research and Treatments 2
    • Mesenchymal stem cell research 2
    • Chronic Lymphocytic Leukemia Research 2

Nigel Patton

11 papers receiving 273 citations

Peers

Nigel Patton
Comparison fields: 5 of 46
  • Hematology 102
  • Transplantation 17
  • Genetics 64
  • Pathology and Forensic Medicine 86
  • Immunology 96
Replace Michele Cimminiello with:
Michele Cimminiello Italy
Silvia Trappolini Italy
Birte Friedrichs Germany
J Biggs Australia
Bik To Australia
Ruemu Birhiray United States
Kazunari Aoki Japan
Helena Marco Spain
Anne Kirsti Blystad Norway
R. Nath United States
Nigel Patton relative to Michele Cimminiello Italy Michele Cimminiello's profile →
Citations per field
00.5×1.5×
Michele Cimminiello · 1×
Citations per year

Countries citing papers authored by Nigel Patton

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Patton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201488
2 200771
3 200638
4 200636
5 201613
6 201510
7 20058
8 20085
9
Private umbilical cord blood banking: a biological insurance of dubious future benefit!
20053
10 20073
11 19881
12 20040

About Nigel Patton

Nigel Patton is a scholar working on Hematology, Genetics, Oncology, Infectious Diseases and Immunology, having authored 12 papers that have together received 276 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Mesenchymal stem cell research (2 papers), Acute Myeloid Leukemia Research (2 papers), Polyomavirus and related diseases (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Lymphoma Diagnosis and Treatment (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Hematology (102 citations), Transplantation (17 citations), Genetics (64 citations), Pathology and Forensic Medicine (86 citations) and Immunology (96 citations). Nigel Patton has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Steve Schey, John Gibson, John F. Seymour, Kenneth F. Bradstock, Ian Nivison‐Smith, Gordon Cook, Sylvia Feyler, D I Marks, Rachel Pearce and H. Miles Prince. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Cancer, British Journal of Haematology and Bone 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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