Nigel Patton

686 citations
12 papers · 290 · h-index 7

Impact in

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

Papers in

    • Hematopoietic Stem Cell Transplantation 5
    • Acute Myeloid Leukemia Research 1
    • Chronic Myeloid Leukemia Treatments 1
    • Mesenchymal stem cell research 2

Nigel Patton

11 papers receiving 284 citations

Peers

Nigel Patton
Comparison fields: 5 of 42
  • Hematology 91
  • Genetics 58
  • Transplantation 14
  • Rheumatology 70
  • Pathology and Forensic Medicine 81
Replace Esperanza Tuset with:
Esperanza Tuset Spain
N Schmitz Germany
Erminia Rinaldi Italy
Jean Jacques Sotto France
Kazunari Aoki Japan
Lauris Gastaud France
Panagiotis Garantziotis Germany
R. Tubbs United States
Ruemu Birhiray United States
S. von Harsdorf Germany
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Citations per field
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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 201495
2 200772
3 200641
4 200636
5 201613
6 201511
7 20059
8 20085
9 20074
10
Private umbilical cord blood banking: a biological insurance of dubious future benefit!
20053
11 19881
12 20040

About Nigel Patton

Nigel Patton is a scholar working on Hematology, Genetics, Oncology, Immunology and Infectious Diseases, having authored 12 papers that have together received 290 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Polyomavirus and related diseases (2 papers), Mesenchymal stem cell research (2 papers), Acute Myeloid Leukemia Research (1 paper), Microbial Inactivation Methods (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Bone and Joint Diseases (1 paper). The work is most often cited by research in Hematology (91 citations), Genetics (58 citations), Transplantation (14 citations), Rheumatology (70 citations) and Pathology and Forensic Medicine (81 citations). Nigel Patton has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Gordon Cook, Judith L. McKenzie, Barry D. Hock, John Gibson, Kenneth F. Bradstock, K. Towlson, Ian Nivison‐Smith, H. Miles Prince, John F. Seymour and Sylvia Feyler. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, British Journal of Haematology, Bone Marrow Transplantation and Cancer Immunology Immunotherapy.

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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