Frank Burslem

2.0k total citations · 1 hit paper
6 papers, 1.2k citations indexed

About

Frank Burslem is a scholar working on Molecular Biology, Dermatology and Rehabilitation. According to data from OpenAlex, Frank Burslem has authored 6 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Dermatology and 2 papers in Rehabilitation. Recurrent topics in Frank Burslem's work include Molecular Biology Techniques and Applications (2 papers), Wound Healing and Treatments (2 papers) and Mesenchymal stem cell research (1 paper). Frank Burslem is often cited by papers focused on Molecular Biology Techniques and Applications (2 papers), Wound Healing and Treatments (2 papers) and Mesenchymal stem cell research (1 paper). Frank Burslem collaborates with scholars based in United Kingdom, Australia and Spain. Frank Burslem's co-authors include Gregory S. Schultz, Shawn P. Macauley, Michael Stacey, Gillian Murphy, Jane Whitney Gibson, Neil T. Bennett, Naomi Trengove, Claire M. Johnson, Manuel Navarro and José L. Jorcano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Blood.

In The Last Decade

Frank Burslem

6 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Analysis of the acute and chronic wound environments: the role of proteases and their inhibitors

1999 712 citations Naomi Trengove, Michael Stacey et al. Wound Repair and Regeneration profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frank Burslem United Kingdom	5	595	278	230	158	150	6	1.2k
Jiayuan Zhu China	20	596 1.0×	313 1.1×	185 0.8×	164 1.0×	171 1.1×	51	1.2k
Andrea Tandara Germany	14	491 0.8×	266 1.0×	397 1.7×	127 0.8×	220 1.5×	23	1.3k
Vera Martins United Kingdom	8	487 0.8×	220 0.8×	137 0.6×	97 0.6×	89 0.6×	17	1.1k
Shawn P. Macauley United States	10	585 1.0×	220 0.8×	246 1.1×	181 1.1×	40 0.3×	11	1.2k
Horacio Ramirez United States	10	1.1k 1.9×	302 1.1×	203 0.9×	258 1.6×	199 1.3×	11	1.7k
Kelly E. Johnson United States	10	416 0.7×	343 1.2×	125 0.5×	88 0.6×	97 0.6×	15	1.1k
Matthew Caley United Kingdom	17	532 0.9×	632 2.3×	174 0.8×	121 0.8×	143 1.0×	39	1.9k
Anna M. Szpaderska United States	12	420 0.7×	280 1.0×	138 0.6×	50 0.3×	100 0.7×	17	1.0k
Natalie Yin United States	11	927 1.6×	215 0.8×	161 0.7×	162 1.0×	337 2.2×	24	1.6k
Avi Smith United States	17	338 0.6×	363 1.3×	129 0.6×	157 1.0×	67 0.4×	32	965

Countries citing papers authored by Frank Burslem

Since Specialization

Citations

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

Fields of papers citing papers by Frank Burslem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Burslem

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Mee, John, Claire M. Johnson, Nilesh Morar, Frank Burslem, & Richard Groves. (2007). The Psoriatic Transcriptome Closely Resembles That Induced by Interleukin-1 in Cultured Keratinocytes. American Journal Of Pathology. 171(1). 32–42. 89 indexed citations

2.

Cooper, Lisa, Claire M. Johnson, Frank Burslem, & Paul Martin. (2004). Wound healing and inflammation genes revealed by array analysis of 'macrophageless' PU.1 null mice. Genome biology. 6(1). R5–R5. 119 indexed citations

3.

Marshall, Stuart, Yotis A. Senis, Jocelyn M. Auger, et al.. (2003). GPIb-dependent platelet activation is dependent on Src kinases but not MAP kinase or cGMP-dependent kinase. Blood. 103(7). 2601–2609. 70 indexed citations

4.

Navarro, Manuel, et al.. (2002). Analysis of the ultraviolet B response in primary human keratinocytes using oligonucleotide microarrays. Proceedings of the National Academy of Sciences. 99(5). 2965–2970. 163 indexed citations

5.

Trengove, Naomi, Michael Stacey, Shawn P. Macauley, et al.. (1999). Analysis of the acute and chronic wound environments: the role of proteases and their inhibitors. Wound Repair and Regeneration. 7(6). 442–452. 712 indexed citations breakdown →

6.

Johnson, Claire, Frank Burslem, & Jerry Lanfear. (1999). Gene expression profiling of wound healing in keratinocytes using DNA microarrays. Nature Genetics. 23(S3). 54–54. 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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