Denis J. Headon

6.3k total citations
59 papers, 3.2k citations indexed

About

Denis J. Headon is a scholar working on Molecular Biology, Cell Biology and Urology. According to data from OpenAlex, Denis J. Headon has authored 59 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 25 papers in Cell Biology and 20 papers in Urology. Recurrent topics in Denis J. Headon's work include Hair Growth and Disorders (19 papers), dental development and anomalies (19 papers) and Skin and Cellular Biology Research (18 papers). Denis J. Headon is often cited by papers focused on Hair Growth and Disorders (19 papers), dental development and anomalies (19 papers) and Skin and Cellular Biology Research (18 papers). Denis J. Headon collaborates with scholars based in United Kingdom, United States and Switzerland. Denis J. Headon's co-authors include Paul A. Overbeek, Betsy Ferguson, Abigail S. Tucker, Jonathan Zonana, Paul T. Sharpe, Pascal Schneider, Chunyan Mou, Kevin J. Painter, A.K. Langton and Robert Sablowski and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Denis J. Headon

58 papers receiving 3.2k citations

Peers

Denis J. Headon

UROLO

GENET

DERMA

Marja L. Mikkola Finland

Cheng‐Ming Chuong United States

Tosso Leeb Switzerland

Frances J.D. Smith United Kingdom

Guerrino Meneguzzi France

Dorothea L. Schiller Germany

Sergey M. Troyanovsky United States

Cord Drögemüller Switzerland

Jemima E. Mellerio United Kingdom

Danielle Dhouailly France

Marja L. Mikkola Finland

Denis J. Headon

3.6k ×1.6

867 ×1.2

1.1k ×1.7

UROLO

650 ×1.3

GENET

537 ×1.7

DERMA

Citations per year, relative to Denis J. Headon Denis J. Headon (= 1×) peers Marja L. Mikkola

Countries citing papers authored by Denis J. Headon

Since Specialization

Citations

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

Fields of papers citing papers by Denis J. Headon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denis J. Headon. 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 Denis J. Headon. The network helps show where Denis J. Headon may publish in the future.

Co-authorship network of co-authors of Denis J. Headon

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

All Works

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20 of 20 papers shown

Tan, Jingze, Wenyan Chen, Manfei Zhang, et al.. (2023). GWASs Identify Genetic Loci Associated with Human Scalp Hair Whorl Direction. Journal of Investigative Dermatology. 143(10). 2065–2068.e10. 2 indexed citations

Gerisch, Alf, et al.. (2023). Novel Aspects in Pattern Formation Arise from Coupling Turing Reaction–Diffusion and Chemotaxis. Bulletin of Mathematical Biology. 86(1). 4–4. 3 indexed citations

Williams, R. H., Andrew H. Sims, Chunyan Mou, et al.. (2021). Elevated EDAR signalling promotes mammary gland tumourigenesis with squamous metaplasia. Oncogene. 41(7). 1040–1049. 9 indexed citations

Dadousis, Christos, Martin Johnsson, Richard J. Mellanby, et al.. (2021). A genome-wide association analysis for body weight at 35 days measured on 137,343 broiler chickens. Genetics Selection Evolution. 53(1). 70–70. 22 indexed citations

Schuepbach‐Mallepell, Sonia, Christine Kowalczyk‐Quintas, Michele Vigolo, et al.. (2020). Methods for the Administration of EDAR Pathway Modulators in Mice. Methods in molecular biology. 2248. 167–183. 5 indexed citations

Mallick, Chandana Basu, et al.. (2020). Characterisation of a second gain of function EDAR variant, encoding EDAR380R, in East Asia. European Journal of Human Genetics. 28(12). 1694–1702. 4 indexed citations

Glover, James D., Kirsty L. Wells, Franziska Matthäus, et al.. (2017). Hierarchical patterning modes orchestrate hair follicle morphogenesis. PLoS Biology. 15(7). e2002117–e2002117. 102 indexed citations

Brown, Helen, et al.. (2016). Ectodysplasin signalling deficiency in mouse models of hypohidrotic ectodermal dysplasia leads to middle ear and nasal pathology. Human Molecular Genetics. 25(16). 3564–3577. 14 indexed citations

Gomez, Céline, et al.. (2013). The Interfollicular Epidermis of Adult Mouse Tail Comprises Two Distinct Cell Lineages that Are Differentially Regulated by Wnt, Edaradd, and Lrig1. Stem Cell Reports. 1(1). 19–27. 84 indexed citations

10.

Glimm, Tilmann, Denis J. Headon, & Maria A. Kiskowski. (2012). Computational and mathematical models of chondrogenesis in vertebrate limbs. Birth Defects Research Part C Embryo Today Reviews. 96(2). 176–192. 13 indexed citations

11.

Wells, Kirsty L., et al.. (2012). Genome-wide SNP scan of pooled DNA reveals nonsense mutation in FGF20 in the scaleless line of featherless chickens. BMC Genomics. 13(1). 257–257. 71 indexed citations

12.

Hammond, Nigel L., Denis J. Headon, & Michael J. Dixon. (2012). The Cell Cycle Regulator Protein 14-3-3σ Is Essential for Hair Follicle Integrity and Epidermal Homeostasis. Journal of Investigative Dermatology. 132(6). 1543–1553. 30 indexed citations

13.

Dunkel, N., Laure Willen, Margret L. Casal, et al.. (2011). Molecular and Therapeutic Characterization of Anti-ectodysplasin A Receptor (EDAR) Agonist Monoclonal Antibodies. Journal of Biological Chemistry. 286(35). 30769–30779. 32 indexed citations

14.

Klika, Václav, Ruth E. Baker, Denis J. Headon, & Eamonn A. Gaffney. (2011). The Influence of Receptor-Mediated Interactions on Reaction-Diffusion Mechanisms of Cellular Self-organisation. Bulletin of Mathematical Biology. 74(4). 935–957. 52 indexed citations

15.

Wells, Kirsty L., et al.. (2010). Recombinant EDA or Sonic Hedgehog rescue the branching defect in Ectodysplasin A pathway mutant salivary glands in vitro. Developmental Dynamics. 239(10). 2674–2684. 20 indexed citations

16.

Heath, Jack, A.K. Langton, Nigel L. Hammond, et al.. (2009). Hair Follicles Are Required for Optimal Growth during Lateral Skin Expansion. Journal of Investigative Dermatology. 129(10). 2358–2364. 13 indexed citations

17.

Headon, Denis J., et al.. (2009). Creation of arrays of cell aggregates in defined patterns for developmental biology studies using dielectrophoresis. Biotechnology and Bioengineering. 105(5). 945–954. 9 indexed citations

18.

Mou, Chunyan, Helen A. Thomason, Christopher Clowes, et al.. (2008). Enhanced ectodysplasin-A receptor (EDAR) signaling alters multiple fiber characteristics to produce the East Asian hair form. Human Mutation. 29(12). 1405–1411. 73 indexed citations

19.

Jiang, Ting, et al.. (2007). The Edar subfamily in feather placode formation. Developmental Biology. 305(1). 232–245. 52 indexed citations

20.

Gazzani, Silvia Eleonora, Tom Lawrenson, Claire Woodward, Denis J. Headon, & Robert Sablowski. (2004). A Link Between mRNA Turnover and RNA Interference in Arabidopsis. Science. 306(5698). 1046–1048. 250 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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