Nigel Patton

674 total citations
12 papers, 276 citations indexed

About

Nigel Patton is a scholar working on Hematology, Genetics and Oncology. According to data from OpenAlex, Nigel Patton has authored 12 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 5 papers in Genetics and 3 papers in Oncology. Recurrent topics in Nigel Patton's work include Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Nigel Patton is often cited by papers focused on Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Nigel Patton collaborates with scholars based in New Zealand, United States and Australia. Nigel Patton's co-authors include Steve Schey, Rachel Pearce, D I Marks, John F. Seymour, H. Miles Prince, Ian Nivison‐Smith, Sylvia Feyler, John Gibson, K. Towlson and Kenneth F. Bradstock and has published in prestigious journals such as Blood, Cancer and British Journal of Haematology.

In The Last Decade

Nigel Patton

11 papers receiving 273 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nigel Patton New Zealand 7 102 96 86 83 66 12 276
Esperanza Tuset Spain 10 88 0.9× 54 0.6× 77 0.9× 56 0.7× 31 0.5× 13 244
J Biggs Australia 5 171 1.7× 98 1.0× 114 1.3× 60 0.7× 60 0.9× 5 309
Michele Cimminiello Italy 9 266 2.6× 102 1.1× 57 0.7× 88 1.1× 40 0.6× 19 359
Alessandra Crescimanno Italy 11 174 1.7× 71 0.7× 83 1.0× 65 0.8× 37 0.6× 15 322
Juan Antonio Martínez-López Spain 8 64 0.6× 100 1.0× 90 1.0× 62 0.7× 225 3.4× 16 392
Marzia Defina Italy 10 271 2.7× 74 0.8× 83 1.0× 61 0.7× 38 0.6× 35 355
Michihiko Masuda Japan 12 175 1.7× 98 1.0× 86 1.0× 117 1.4× 22 0.3× 27 375
Bjarne Bach Pedersen Denmark 6 226 2.2× 65 0.7× 110 1.3× 55 0.7× 26 0.4× 13 368
S. von Harsdorf Germany 3 103 1.0× 81 0.8× 39 0.5× 50 0.6× 20 0.3× 5 243
Nelma Clementino Brazil 10 257 2.5× 48 0.5× 66 0.8× 45 0.5× 106 1.6× 17 352

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-authorship network of co-authors of Nigel Patton

This figure shows the co-authorship network connecting the top 25 collaborators of Nigel Patton. A scholar is included among the top collaborators of Nigel Patton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nigel Patton. Nigel Patton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
3.
Cheah, Chan Y., Kate Burbury, Jane F. Apperley, et al.. (2014). Patients with myeloid malignancies bearing PDGFRB fusion genes achieve durable long-term remissions with imatinib. Blood. 123(23). 3574–3577. 88 indexed citations
4.
Ganly, Peter, et al.. (2008). Written advice can provide a safe and acceptable alternative to new patient assessment for selected referrals to haematologists. The Medical Journal of Australia. 188(1). 9–12. 5 indexed citations
5.
Feyler, Sylvia, H. Miles Prince, Rachel Pearce, et al.. (2007). The role of high-dose therapy and stem cell rescue in the management of T-cell malignant lymphomas: a BSBMT and ABMTRR study. Bone Marrow Transplantation. 40(5). 443–450. 71 indexed citations
6.
Dyson, P., et al.. (2007). 121: Mesenchymal stem cells for treatment of steroid-resistant graft-versus-host disease. Biology of Blood and Marrow Transplantation. 13(2). 46–47. 3 indexed citations
7.
Hock, Barry D., Judith L. McKenzie, Nigel Patton, et al.. (2006). Circulating levels and clinical significance of soluble CD40 in patients with hematologic malignancies. Cancer. 106(10). 2148–2157. 38 indexed citations
8.
Nieto, Yago, Nigel Patton, Ruth Spearing, et al.. (2006). Tacrolimus and Mycophenolate Mofetil after Nonmyeloablative Matched-Sibling Donor Allogeneic Stem-Cell Transplantations Conditioned with Fludarabine and Low-Dose Total Body Irradiation. Biology of Blood and Marrow Transplantation. 12(2). 217–225. 36 indexed citations
9.
Hock, Barry D., et al.. (2005). Exposure to the electrofusion process can increase the immunogenicity of human cells. Cancer Immunology Immunotherapy. 54(9). 880–890. 8 indexed citations
10.
Sullivan, Michael, Peter Browett, & Nigel Patton. (2005). Private umbilical cord blood banking: a biological insurance of dubious future benefit!. PubMed. 118(1208). U1260–U1260. 3 indexed citations
12.
Boughton, B. J., et al.. (1988). TREATMENT OF HIV RELATED IMMUNE THROMBOCYTOPENIA. British Journal of Haematology. 69(3). 421–422. 1 indexed citations

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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