Lene Bay

1.3k total citations
27 papers, 844 citations indexed

About

Lene Bay is a scholar working on Dermatology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Lene Bay has authored 27 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Dermatology, 9 papers in Molecular Biology and 6 papers in Infectious Diseases. Recurrent topics in Lene Bay's work include Dermatology and Skin Diseases (9 papers), Hidradenitis Suppurativa and Treatments (6 papers) and Allergic Rhinitis and Sensitization (4 papers). Lene Bay is often cited by papers focused on Dermatology and Skin Diseases (9 papers), Hidradenitis Suppurativa and Treatments (6 papers) and Allergic Rhinitis and Sensitization (4 papers). Lene Bay collaborates with scholars based in Denmark, Netherlands and Croatia. Lene Bay's co-authors include Thomas Bjarnsholt, Hans Christian Ring, Gregor B. E. Jemec, Ditte Marie Lindhardt Saunte, I.M. Miller, Jonathan Thorsen, Klaus Kallenbach, Jørgen J. Leisner, Marc Vancanneyt and Jean Swings and has published in prestigious journals such as Journal of Investigative Dermatology, British Journal of Dermatology and BMC Genomics.

In The Last Decade

Lene Bay

27 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lene Bay Denmark 12 409 268 252 174 115 27 844
Berit Lilje Denmark 17 318 0.8× 134 0.5× 451 1.8× 203 1.2× 135 1.2× 30 1.1k
Joseph Horwinski United States 14 452 1.1× 80 0.3× 361 1.4× 189 1.1× 169 1.5× 15 1.5k
Jacquelyn S. Meisel United States 12 438 1.1× 54 0.2× 359 1.4× 204 1.2× 46 0.4× 16 1.2k
Amanda S. Tyldsley United States 8 490 1.2× 69 0.3× 381 1.5× 216 1.2× 56 0.5× 8 1.1k
Magali Garcia France 16 67 0.2× 112 0.4× 142 0.6× 101 0.6× 57 0.5× 41 702
Adam J. SanMiguel United States 6 353 0.9× 26 0.1× 237 0.9× 151 0.9× 29 0.3× 8 691
Koko Mizumachi Japan 21 66 0.2× 107 0.4× 577 2.3× 40 0.2× 590 5.1× 43 1.2k
Kim Schipper Netherlands 11 64 0.2× 65 0.2× 355 1.4× 79 0.5× 312 2.7× 17 881
M. Rachid Argentina 6 53 0.1× 45 0.2× 385 1.5× 46 0.3× 413 3.6× 8 772
George J. Murakawa United States 15 284 0.7× 52 0.2× 460 1.8× 230 1.3× 60 0.5× 30 1.2k

Countries citing papers authored by Lene Bay

Since Specialization
Citations

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

Fields of papers citing papers by Lene Bay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lene Bay

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

All Works

20 of 20 papers shown
1.
Bay, Lene, et al.. (2025). Evaluating antimicrobial efficacy in medical devices: The critical role of simulating in use test conditions. Biomaterials Advances. 172. 214241–214241. 1 indexed citations
2.
Bay, Lene, Christopher J. Barnes, Blaine Gabriel Fritz, et al.. (2025). Unique dermal bacterial signature differentiates atopic dermatitis skin from healthy. mSphere. 10(6). e0015625–e0015625. 2 indexed citations
3.
Bay, Lene, Gregor B. E. Jemec, & Hans Christian Ring. (2024). Microenvironmental host–microbe interactions in chronic inflammatory skin diseases. Apmis. 132(12). 974–984. 2 indexed citations
4.
Halling, Anne‐Sofie, Blaine Gabriel Fritz, Trine Gerner, et al.. (2023). Reduced Skin Microbiome Diversity in Infancy Is Associated with Increased Risk of Atopic Dermatitis in High-Risk Children. Journal of Investigative Dermatology. 143(10). 2030–2038.e6. 7 indexed citations
5.
Rønnstad, Amalie Thorsti Møller, Lene Bay, Anne‐Sofie Halling, et al.. (2023). Defining the temporal relationship between the skin microbiome, immune response and skin barrier function during flare and resolution of atopic dermatitis: protocol of a Danish intervention study. BMJ Open. 13(2). e068395–e068395. 3 indexed citations
6.
Bay, Lene, et al.. (2023). E‐cadherin and aquaporin‐3 are downregulated in wound edges of human chronic wounds. Apmis. 131(8). 403–409. 4 indexed citations
7.
Barnes, Christopher J., Maria E. Asplund, Maja‐Lisa Clausen, et al.. (2023). A simplified bacterial community found within the epidermis than at the epidermal surface of atopic dermatitis patients and healthy controls. BMC Microbiology. 23(1). 273–273. 1 indexed citations
8.
Bay, Lene, et al.. (2022). Characterization of pig skin microbiome and appraisal as an in vivo subcutaneous injection model. Laboratory Animals. 57(3). 304–318. 5 indexed citations
9.
10.
Jakobsen, Tim Holm, Yijuan Xu, Lene Bay, et al.. (2021). Sampling challenges in diagnosis of chronic bacterial infections. Journal of Medical Microbiology. 70(3). 13 indexed citations
11.
Bjarnsholt, Thomas, et al.. (2021). Dynamics of skin microbiota in shoulder surgery infections. Apmis. 129(12). 665–674. 7 indexed citations
12.
Alhede, Morten, Blaine Gabriel Fritz, Peter Østrup Jensen, et al.. (2020). Bacterial aggregate size determines phagocytosis efficiency of polymorphonuclear leukocytes. Medical Microbiology and Immunology. 209(6). 669–680. 46 indexed citations
13.
Bay, Lene, Christopher J. Barnes, Blaine Gabriel Fritz, et al.. (2020). Universal Dermal Microbiome in Human Skin. mBio. 11(1). 82 indexed citations
14.
Bay, Lene, et al.. (2019). An Equine Wound Model to Study Effects of Bacterial Aggregates on Wound Healing. Advances in Wound Care. 8(10). 487–498. 10 indexed citations
15.
Bay, Lene, Kasper Nørskov Kragh, Steffen Eickhardt, et al.. (2018). Bacterial Aggregates Establish at the Edges of Acute Epidermal Wounds. Advances in Wound Care. 7(4). 105–113. 46 indexed citations
16.
Bay, Lene, et al.. (2017). The occurrence of biofilm in an equine experimental wound model of healing by secondary intention. Veterinary Microbiology. 204. 90–95. 16 indexed citations
17.
Ring, Hans Christian, Lene Bay, Klaus Kallenbach, et al.. (2016). Normal Skin Microbiota is Altered in Pre-clinical Hidradenitis Suppurativa. Acta Dermato Venereologica. 97(2). 208–213. 70 indexed citations
18.
Jørgensen, Claus B., Lene Bay, Susanna Cirera, et al.. (2008). Phenotypic and genetic characterization of a novel phenotype in pigs characterized by juvenile hairlessness and age dependent emphysema. BMC Genomics. 9(1). 283–283. 6 indexed citations
19.
Bay, Lene, Jens Laurits Larsen, & Jørgen J. Leisner. (2006). Distribution of three genes involved in the PJM1 iron-sequestering system in various Vibrio anguillarum serogroups. Systematic and Applied Microbiology. 30(2). 85–92. 10 indexed citations
20.
Laursen, Birgit Groth, Lene Bay, Ilse Cleenwerck, et al.. (2005). Carnobacterium divergens and Carnobacterium maltaromaticum as spoilers or protective cultures in meat and seafood: phenotypic and genotypic characterization. Systematic and Applied Microbiology. 28(2). 151–164. 118 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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