Kevin J. Ashcroft

809 total citations · 1 hit paper
5 papers, 525 citations indexed

About

Kevin J. Ashcroft is a scholar working on Dermatology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Kevin J. Ashcroft has authored 5 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Dermatology, 2 papers in Molecular Biology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Kevin J. Ashcroft's work include Dermatologic Treatments and Research (3 papers), melanin and skin pigmentation (1 paper) and Wound Healing and Treatments (1 paper). Kevin J. Ashcroft is often cited by papers focused on Dermatologic Treatments and Research (3 papers), melanin and skin pigmentation (1 paper) and Wound Healing and Treatments (1 paper). Kevin J. Ashcroft collaborates with scholars based in United Kingdom and Jamaica. Kevin J. Ashcroft's co-authors include Ardeshir Bayat, Mohamed Baguneid, Nicholas S. Greaves, Farhatullah Syed, Charles H. Shaw, Victoria Parker, Gary J. Loake, William J. Deakin, Lindsey K. Goff and A. J. Norton and has published in prestigious journals such as PLoS ONE, Microbiology and Genes Chromosomes and Cancer.

In The Last Decade

Kevin J. Ashcroft

5 papers receiving 517 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Current understanding of molecular and cellular mechanisms in fibroplasia and angiogenesis during acute wound healing

2013 376 citations Nicholas S. Greaves, Kevin J. Ashcroft et al. Journal of Dermatological Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin J. Ashcroft United Kingdom	4	267	137	108	104	80	5	525
Mohammadreza Pakyari Canada	8	306 1.1×	108 0.8×	81 0.8×	123 1.2×	117 1.5×	14	605
Julin Xie China	15	369 1.4×	200 1.5×	93 0.9×	118 1.1×	108 1.4×	17	658
Melanie Breetveld Netherlands	12	312 1.2×	101 0.7×	175 1.6×	91 0.9×	99 1.2×	13	581
T.T. Phan Singapore	14	185 0.7×	104 0.8×	185 1.7×	76 0.7×	69 0.9×	21	482
Taylor Wearda United States	9	163 0.6×	104 0.8×	74 0.7×	70 0.7×	96 1.2×	13	397
Chris Layton United Kingdom	9	179 0.7×	114 0.8×	82 0.8×	115 1.1×	144 1.8×	10	544
Louis D. Le United States	14	219 0.8×	127 0.9×	56 0.5×	67 0.6×	171 2.1×	21	581
Michael F. Davitt United States	7	343 1.3×	169 1.2×	112 1.0×	133 1.3×	99 1.2×	9	663
Zi‐Li Sun China	9	142 0.5×	178 1.3×	100 0.9×	51 0.5×	52 0.7×	13	446
C. Barrault France	12	154 0.6×	221 1.6×	231 2.1×	53 0.5×	64 0.8×	22	705

Countries citing papers authored by Kevin J. Ashcroft

Since Specialization

Citations

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

Fields of papers citing papers by Kevin J. Ashcroft

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin J. Ashcroft

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

All Works

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5 of 5 papers shown

1.

Greaves, Nicholas S., Kevin J. Ashcroft, Mohamed Baguneid, & Ardeshir Bayat. (2013). Current understanding of molecular and cellular mechanisms in fibroplasia and angiogenesis during acute wound healing. Journal of Dermatological Science. 72(3). 206–217. 376 indexed citations breakdown →

2.

Ashcroft, Kevin J., Farhatullah Syed, & Ardeshir Bayat. (2013). Site-Specific Keloid Fibroblasts Alter the Behaviour of Normal Skin and Normal Scar Fibroblasts through Paracrine Signalling. PLoS ONE. 8(12). e75600–e75600. 74 indexed citations

3.

Ashcroft, Kevin J., Syed Mohd Faisal, Guyan Arscott, & Ardeshir Bayat. (2011). Assessment of the influence of HLA class I and class II loci on the prevalence of keloid disease in Jamaican Afro‐Caribbeans. Tissue Antigens. 78(5). 390–396. 3 indexed citations

4.

Neat, Michael, Nicola Foot, Lindsey K. Goff, et al.. (2001). Localisation of a novel region of recurrent amplification in follicular lymphoma to an ∼6.8 Mb region of 13q32‐33. Genes Chromosomes and Cancer. 32(3). 236–243. 35 indexed citations

5.

Deakin, William J., et al.. (1999). Agrobacterium tumefaciens possesses a fourth flagellin gene located in a large gene cluster concerned with flagellar structure, assembly and motility. Microbiology. 145(6). 1397–1407. 37 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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