Michael J. Flagler

1.1k total citations
17 papers, 758 citations indexed

About

Michael J. Flagler is a scholar working on Dermatology, Molecular Biology and Endocrinology. According to data from OpenAlex, Michael J. Flagler has authored 17 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Dermatology, 7 papers in Molecular Biology and 6 papers in Endocrinology. Recurrent topics in Michael J. Flagler's work include Skin Protection and Aging (7 papers), Escherichia coli research studies (6 papers) and Viral gastroenteritis research and epidemiology (4 papers). Michael J. Flagler is often cited by papers focused on Skin Protection and Aging (7 papers), Escherichia coli research studies (6 papers) and Viral gastroenteritis research and epidemiology (4 papers). Michael J. Flagler collaborates with scholars based in United States, United Kingdom and Australia. Michael J. Flagler's co-authors include Alison A. Weiss, Jane E. Strasser, Caleb W. Dorsey, Luis A. Actis, Jennifer A. Gaddy, Andrew P. Tomaras, Michael G. Davis, Suri S. Iyer, Jennifer Marsh and Ashish Kulkarni and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Biochemistry.

In The Last Decade

Michael J. Flagler

17 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael J. Flagler United States	13	426	297	251	207	89	17	758
Christian Jenul Switzerland	11	94 0.2×	542 1.8×	322 1.3×	59 0.3×	80 0.9×	15	845
Iyarit Thaipisuttikul Thailand	10	171 0.4×	868 2.9×	129 0.5×	310 1.5×	443 5.0×	23	1.2k
Sohinee Sarkar Australia	11	375 0.9×	233 0.8×	47 0.2×	321 1.6×	101 1.1×	22	693
Siva R. Uppalapati India	12	90 0.2×	148 0.5×	85 0.3×	119 0.6×	29 0.3×	20	483
Corinne Barbey France	18	184 0.4×	494 1.7×	76 0.3×	72 0.3×	125 1.4×	33	927
Paula I. Rodas Chile	13	75 0.2×	135 0.5×	91 0.4×	45 0.2×	47 0.5×	28	431
Lily Mijouin France	15	116 0.3×	237 0.8×	60 0.2×	30 0.1×	51 0.6×	18	663
Emma L. Denham Netherlands	17	45 0.1×	542 1.8×	147 0.6×	75 0.4×	269 3.0×	27	816
Ulrich Gerstel Germany	12	322 0.8×	599 2.0×	23 0.1×	88 0.4×	262 2.9×	13	901
Seth M. Daly United States	17	24 0.1×	379 1.3×	201 0.8×	167 0.8×	85 1.0×	24	703

Countries citing papers authored by Michael J. Flagler

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Flagler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Flagler

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

All Works

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17 of 17 papers shown

Costello, Lydia, Ben C. Hulette, Teresa DiColandrea, et al.. (2024). Investigation into the significant role of dermal‐epidermal interactions in skin ageing utilising a bioengineered skin construct. Journal of Cellular Physiology. 240(1). e31463–e31463. 3 indexed citations

Flagler, Michael J., Makio Tamura, Scott Hartman, et al.. (2021). Combinations of peptides synergistically activate the regenerative capacity of skin cells in vitro. International Journal of Cosmetic Science. 43(5). 518–529. 6 indexed citations

Sherrill, Joseph D., Deborah Finlay, Robert L. Binder, et al.. (2021). Transcriptomic analysis of human skin wound healing and rejuvenation following ablative fractional laser treatment. PLoS ONE. 16(11). e0260095–e0260095. 16 indexed citations

Brown, Adrian P., et al.. (2019). Reductive Stress Selectively Disrupts Collagen Homeostasis and Modifies Growth Factor-independent Signaling Through the MAPK/Akt Pathway in Human Dermal Fibroblasts. Molecular & Cellular Proteomics. 18(6). 1123–1137. 11 indexed citations

Schwartz, James R., et al.. (2017). Incubatory environment of the scalp impacts pre‐emergent hair to affect post‐emergent hair cuticle integrity. Journal of Cosmetic Dermatology. 17(1). 105–111. 16 indexed citations

Marsh, Jennifer, Michael G. Davis, Michael J. Flagler, et al.. (2015). Advanced hair damage model from ultra‐violet radiation in the presence of copper. International Journal of Cosmetic Science. 37(5). 532–541. 22 indexed citations

Durbin‐Johnson, Blythe, David M. Rocke, Michael J. Flagler, et al.. (2014). Human hair shaft proteomic profiling: individual differences, site specificity and cuticle analysis. PeerJ. 2. e506–e506. 53 indexed citations

Marsh, Jennifer, Michael J. Flagler, Michael G. Davis, et al.. (2013). Role of copper in photochemical damage to hair. International Journal of Cosmetic Science. 36(1). 32–38. 17 indexed citations

Sinclair, Rodney, et al.. (2012). The proteomic profile of hair damage. British Journal of Dermatology. 166. 27–32. 12 indexed citations

10.

Marsh, Jennifer, et al.. (2012). The role of chelants in controlling Cu(II)‐induced radical chemistry in oxidative hair colouring products. International Journal of Cosmetic Science. 35(1). 41–49. 13 indexed citations

11.

Flagler, Michael J., et al.. (2011). Shiga Toxin Subtypes Display Dramatic Differences in Potency. Infection and Immunity. 79(3). 1329–1337. 222 indexed citations

12.

Conrady, Deborah G., et al.. (2010). Molecular Basis of Differential B-Pentamer Stability of Shiga Toxins 1 and 2. PLoS ONE. 5(12). e15153–e15153. 27 indexed citations

13.

Flagler, Michael J., et al.. (2010). Comparison of Binding Platforms Yields Insights into Receptor Binding Differences between Shiga Toxins 1 and 2. Biochemistry. 49(8). 1649–1657. 32 indexed citations

14.

Kale, Ramesh R., et al.. (2008). Differentiation between Structurally Homologous Shiga 1 and Shiga 2 Toxins by Using Synthetic Glycoconjugates. Angewandte Chemie International Edition. 47(7). 1265–1268. 42 indexed citations

15.

Kale, Ramesh R., et al.. (2008). Differentiation between Structurally Homologous Shiga 1 and Shiga 2 Toxins by Using Synthetic Glycoconjugates. Angewandte Chemie. 120(7). 1285–1288. 8 indexed citations

16.

Tomaras, Andrew P., Michael J. Flagler, Caleb W. Dorsey, Jennifer A. Gaddy, & Luis A. Actis. (2008). Characterization of a two-component regulatory system from Acinetobacter baumannii that controls biofilm formation and cellular morphology. Microbiology. 154(11). 3398–3409. 237 indexed citations

17.

Flagler, Michael J., Jane E. Strasser, Claudia Chalk, & Alison A. Weiss. (2006). Comparative Analysis of the Abilities of Shiga Toxins 1 and 2 To Bind to and Influence Neutrophil Apoptosis. Infection and Immunity. 75(2). 760–765. 21 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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