Duncan McHale

1.1k total citations
10 papers, 413 citations indexed

About

Duncan McHale is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Pharmacology. According to data from OpenAlex, Duncan McHale has authored 10 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Pharmacology. Recurrent topics in Duncan McHale's work include Pharmacogenetics and Drug Metabolism (3 papers), Pharmaceutical studies and practices (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Duncan McHale is often cited by papers focused on Pharmacogenetics and Drug Metabolism (3 papers), Pharmaceutical studies and practices (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Duncan McHale collaborates with scholars based in United Kingdom, United States and Switzerland. Duncan McHale's co-authors include P.R. Elliott, Rune Busk Damgaard, Neil V. Morgan, David Komander, Jennifer A. Walker, Hannah Titheradge, Paola Marco‐Casanova, Eamonn R. Maher, Andrew N. J. McKenzie and Martin Hofmann‐Apitius and has published in prestigious journals such as Cell, PLoS ONE and Nature Reviews Drug Discovery.

In The Last Decade

Duncan McHale

10 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Duncan McHale United Kingdom	7	252	171	70	52	47	10	413
Julie Piessevaux Belgium	8	152 0.6×	188 1.1×	47 0.7×	24 0.5×	30 0.6×	9	413
Sarah J. Turner United Kingdom	7	304 1.2×	123 0.7×	61 0.9×	23 0.4×	36 0.8×	12	529
Rashi Kalra India	12	146 0.6×	117 0.7×	60 0.9×	28 0.5×	22 0.5×	24	379
Christian T. Hellwig Ireland	10	383 1.5×	100 0.6×	60 0.9×	24 0.5×	13 0.3×	11	517
Brian M. Weist United States	10	349 1.4×	330 1.9×	65 0.9×	19 0.4×	23 0.5×	12	648
Elena Delgado Spain	6	182 0.7×	205 1.2×	17 0.2×	22 0.4×	65 1.4×	7	438
Kaoru Morishita Japan	10	163 0.6×	118 0.7×	60 0.9×	49 0.9×	23 0.5×	18	357
Angela Hughes‐Earle United States	8	416 1.7×	218 1.3×	91 1.3×	18 0.3×	15 0.3×	9	568
Zinnia P. Parra‐Guillén Spain	13	171 0.7×	74 0.4×	34 0.5×	74 1.4×	11 0.2×	38	388
Xiurong Shi United States	9	296 1.2×	105 0.6×	56 0.8×	48 0.9×	58 1.2×	9	535

Countries citing papers authored by Duncan McHale

Since Specialization

Citations

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

Fields of papers citing papers by Duncan McHale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duncan McHale

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

All Works

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10 of 10 papers shown

Kleinstein, Sarah E., Chris Chamberlain, Duncan McHale, et al.. (2022). A genome-wide screen for variants influencing certolizumab pegol response in a moderate to severe rheumatoid arthritis population. PLoS ONE. 17(4). e0261165–e0261165. 3 indexed citations

Kodamullil, Alpha Tom, et al.. (2017). Tracing investment in drug development for Alzheimer disease. Nature Reviews Drug Discovery. 16(12). 819–819. 38 indexed citations

Damgaard, Rune Busk, Jennifer A. Walker, Paola Marco‐Casanova, et al.. (2016). The Deubiquitinase OTULIN Is an Essential Negative Regulator of Inflammation and Autoimmunity. Cell. 166(5). 1215–1230.e20. 231 indexed citations

Petrovski, Slavé, Roberta Parrott, Joseph L. Roberts, et al.. (2016). Dominant Splice Site Mutations in PIK3R1 Cause Hyper IgM Syndrome, Lymphadenopathy and Short Stature. Journal of Clinical Immunology. 36(5). 462–471. 47 indexed citations

Hofmann‐Apitius, Martin, Marta E. Alarcón‐Riquelme, Chris Chamberlain, & Duncan McHale. (2015). Towards the taxonomy of human disease. Nature Reviews Drug Discovery. 14(2). 75–76. 30 indexed citations

Arnold, Hans Peter, et al.. (2006). Pharmacogenetics: Development Issues and Solutions for Safe and Effective Medicines. Pharmacogenomics. 7(2). 149–155. 3 indexed citations

Penny, Michelle A. & Duncan McHale. (2005). Pharmacogenomics and the Drug Discovery Pipeline. PubMed. 5(1). 53–62. 19 indexed citations

McCarthy, Antonio Desmond, Maria Kerr, Éric Abadie, et al.. (2004). Report on the joint EFPIA, DIA and EMEA pharmacogenetics workshop: moving toward clinical application. Pharmacogenomics. 5(6). 731–739. 1 indexed citations

Anderson, DC, Baltazar Gomez‐Mancilla, B B Spear, et al.. (2002). Elements of informed consent for pharmacogenetic research; perspective of the pharmacogenetics working group. The Pharmacogenomics Journal. 2(5). 284–292. 28 indexed citations

10.

Spear, B B, Margo Heath‐Chiozzi, Diane Barnes, et al.. (2001). Terminology for sample collection in clinical genetic studies. The Pharmacogenomics Journal. 1(2). 101–103. 13 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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