Nigel Miller

4.9k total citations · 1 hit paper
58 papers, 3.5k citations indexed

About

Nigel Miller is a scholar working on Molecular Biology, Immunology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nigel Miller has authored 58 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 14 papers in Immunology and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nigel Miller's work include Sperm and Testicular Function (9 papers), Lipid Membrane Structure and Behavior (7 papers) and Reproductive Biology and Fertility (6 papers). Nigel Miller is often cited by papers focused on Sperm and Testicular Function (9 papers), Lipid Membrane Structure and Behavior (7 papers) and Reproductive Biology and Fertility (6 papers). Nigel Miller collaborates with scholars based in United Kingdom, Slovakia and Italy. Nigel Miller's co-authors include Demetrios Papahadjopoulos, R. A. Harrison, A. D. Bangham, Petra Hájková, M. Azim Surani, Stephen P. Jackson, Caroline Lee, M. M. Standish, Colin J. Morley and David W. Dunne and has published in prestigious journals such as Nature, Science and The Lancet.

In The Last Decade

Nigel Miller

56 papers receiving 3.3k citations

Hit Papers

Phospholipid model membranes. I. Structural characteristi... 1967 2026 1986 2006 1967 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nigel Miller United Kingdom 31 1.7k 690 667 419 381 58 3.5k
Masato Umeda Japan 47 5.4k 3.3× 260 0.4× 175 0.3× 1.1k 2.6× 474 1.2× 127 8.1k
Luis S. Mayorga Argentina 38 2.5k 1.5× 810 1.2× 908 1.4× 449 1.1× 260 0.7× 137 4.4k
Hugh D. Niall Australia 44 4.4k 2.7× 1.2k 1.8× 396 0.6× 412 1.0× 835 2.2× 99 7.9k
Manfred Raida Germany 34 2.7k 1.7× 400 0.6× 421 0.6× 596 1.4× 478 1.3× 76 5.0k
G. Bleau Canada 37 985 0.6× 1.2k 1.7× 1.6k 2.4× 355 0.8× 629 1.7× 95 3.3k
Thomas Günther Pomorski Germany 48 3.6k 2.2× 328 0.5× 125 0.2× 574 1.4× 183 0.5× 200 6.7k
David Nelson United States 43 2.2k 1.3× 126 0.2× 121 0.2× 824 2.0× 279 0.7× 145 5.2k
Gary E. Olson United States 40 1.3k 0.8× 1.7k 2.5× 2.3k 3.5× 533 1.3× 640 1.7× 101 4.5k
Shin‐ichi Ishii Japan 38 3.1k 1.9× 140 0.2× 134 0.2× 590 1.4× 381 1.0× 258 5.7k
John G. Pierce United States 37 2.2k 1.3× 572 0.8× 1.9k 2.9× 525 1.3× 984 2.6× 99 5.7k

Countries citing papers authored by Nigel Miller

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nigel Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Nigel Miller. A scholar is included among the top collaborators of Nigel Miller 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 Miller. Nigel Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Yelina, Nataliya E., Kyuha Choi, Liudmila Chelysheva, et al.. (2012). Epigenetic Remodeling of Meiotic Crossover Frequency in Arabidopsis thaliana DNA Methyltransferase Mutants. PLoS Genetics. 8(8). e1002844–e1002844. 143 indexed citations
3.
Zaccone, Paola, Oliver T. Burton, Nigel Miller, et al.. (2011). The S. mansoni glycoprotein ω‐1 induces Foxp3 expression in NOD mouse CD4+ T cells. European Journal of Immunology. 41(9). 2709–2718. 76 indexed citations
4.
Cindrová‐Davies, Tereza, Mirella Belleri, Lucia Morbidelli, et al.. (2011). The natural compound n-butylidenephthalide derived from the volatile oil of Radix Angelica sinensis inhibits angiogenesis in vitro and in vivo. Angiogenesis. 14(2). 187–197. 62 indexed citations
5.
Tolhurst, Gwen, et al.. (2011). Purification of Native Bone Marrow Megakaryocytes for Studies of Gene Expression. Methods in molecular biology. 788. 259–273. 8 indexed citations
6.
Wheeler, Daniel W., Andrew J. Thompson, Federico Corletto, et al.. (2011). Anaesthetic Impairment of Immune Function Is Mediated via GABAA Receptors. PLoS ONE. 6(2). e17152–e17152. 57 indexed citations
7.
Hájková, Petra, et al.. (2010). Genome-Wide Reprogramming in the Mouse Germ Line Entails the Base Excision Repair Pathway. Science. 329(5987). 78–82. 358 indexed citations
8.
Burton, Oliver T., Nigel Miller, Frances M. Jones, et al.. (2010). Importance of TLR2 in the direct response of T lymphocytes to Schistosoma mansoni antigens. European Journal of Immunology. 40(8). 2221–2229. 18 indexed citations
9.
Malcherek, Georg, Luzia Mayr, Pedro Roda‐Navarro, et al.. (2007). The B7 Homolog Butyrophilin BTN2A1 Is a Novel Ligand for DC-SIGN. The Journal of Immunology. 179(6). 3804–3811. 38 indexed citations
10.
Harrison, R. A. & Nigel Miller. (2000). cAMP-dependent protein kinase control of plasma membrane lipid architecture in boar sperm. Molecular Reproduction and Development. 55(2). 220–228. 101 indexed citations
11.
Bloxham, David, et al.. (2000). Phosphatidylserine-dependent adhesion of T cells to endothelial cells. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1501(2-3). 99–115. 5 indexed citations
12.
Guntermann, Christine, Nigel Miller, Péter Nagy, et al.. (2000). The CD45 tyrosine phosphatase regulates Campath-1H (CD52)-induced TCR-dependent signal transduction in human T cells. International Immunology. 12(4). 505–516. 29 indexed citations
13.
Hernández‐Hoyos, Gabriela, Sarah Joseph, Nigel Miller, & Geoffrey W. Butcher. (1999). Thelymphopenia mutation of the BB rat causes inappropriate apoptosis of mature thymocytes. European Journal of Immunology. 29(6). 1832–1841. 43 indexed citations
14.
16.
Schwarzacher, Trude, et al.. (1997). Flow cytometric analysis of the chromosomes and stability of a wheat cell-culture line. Theoretical and Applied Genetics. 94(1). 91–97. 32 indexed citations
17.
Langford, Cordelia F., Nigel Miller, Elizabeth M. Tucker, H. Telenius, & Preben D. Thomsen. (1993). Preparation of chromosome‐specific paints and complete assignment of chromosomes in the pig flow karyotype. Animal Genetics. 24(4). 261–267. 24 indexed citations
18.
Miller, Nigel, et al.. (1993). CD3 antigen‐mediated calcium signals and protein kinase C activation are higher in CD45R0+ than in CD45RA+ human T lymphocyte subsets. European Journal of Immunology. 23(1). 61–68. 52 indexed citations
19.
Morley, Colin J., Anne Greenough, Nigel Miller, et al.. (1988). Randomized trial of artificial surfactant (ALEC) given at birth to babies from 23 to 34 weeks gestation. Early Human Development. 17(1). 41–54. 42 indexed citations
20.
Morton, Richard E., et al.. (1976). Alteration of mitochondrial function and lipid composition in Morris 7777 hepatoma.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 36(9 pt.1). 3246–54. 50 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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