J. M. Brandner

422 total citations
11 papers, 320 citations indexed

About

J. M. Brandner is a scholar working on Molecular Biology, Dermatology and Neurology. According to data from OpenAlex, J. M. Brandner has authored 11 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Dermatology and 3 papers in Neurology. Recurrent topics in J. M. Brandner's work include Barrier Structure and Function Studies (3 papers), Dermatology and Skin Diseases (3 papers) and Antimicrobial Peptides and Activities (2 papers). J. M. Brandner is often cited by papers focused on Barrier Structure and Function Studies (3 papers), Dermatology and Skin Diseases (3 papers) and Antimicrobial Peptides and Activities (2 papers). J. M. Brandner collaborates with scholars based in Germany, France and Netherlands. J. M. Brandner's co-authors include Ruth Stadler, Manfred Gahrtz, Alexander Schulz, Norbert Sauer, Ingrid Moll, Pavel Houdek, Ewa Wladykowski, S Kief, Martin J. Behne and S. Bessou‐Touya and has published in prestigious journals such as The Plant Cell, Journal of Investigative Dermatology and Histochemistry and Cell Biology.

In The Last Decade

J. M. Brandner

11 papers receiving 303 citations

Peers

J. M. Brandner

PS

MB

DERMA

NEURO

PS

Thomas Volksdorf Germany

Matthew Meckfessel United States

Hila Yehuda Israel

Yaxuan Wu China

Karine Deschêne Canada

Thomas J. Moutinho United States

Masaki Imayasu Japan

Guangqi Gao China

Laura Elena Córdova-Dávalos Mexico

Nikita V. Gal’chinsky Ukraine

Thomas Volksdorf Germany

J. M. Brandner

14 ×0.1

PS

96 ×1.0

MB

164 ×2.7

DERMA

49 ×1.3

NEURO

52 ×1.5

PS

Citations per year, relative to J. M. Brandner J. M. Brandner (= 1×) peers Thomas Volksdorf

Countries citing papers authored by J. M. Brandner

Since Specialization

Citations

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

Fields of papers citing papers by J. M. Brandner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. M. Brandner

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

All Works

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11 of 11 papers shown

1.

Shahzad, Tayyab, Ying Dong, J. M. Brandner, et al.. (2024). Anti-CCL2 therapy reduces oxygen toxicity to the immature lung. Cell Death Discovery. 10(1). 311–311. 2 indexed citations

2.

Bianchi, Paola, et al.. (2020). Broad spectrum repairing properties of an extract of Aquaphilus dolomiae on in vitro and ex vivo models of injured skin. Journal of the European Academy of Dermatology and Venereology. 34(S5). 37–42. 6 indexed citations

3.

Galliano, M., Katja Bäsler, Céline Mias, et al.. (2020). Protective effect of Aquaphilus dolomiae extract‐G1, ADE‐G1, on tight junction barrier function in a Staphylococcus aureus‐infected atopic dermatitis model. Journal of the European Academy of Dermatology and Venereology. 34(S5). 30–36. 9 indexed citations

4.

Niehues, Hanna, Diana Rodijk‐Olthuis, Joost Schalkwijk, et al.. (2016). 077 Epidermal equivalents of filaggrin null keratinocytes do not show impaired skin barrier function. Journal of Investigative Dermatology. 136(9). S174–S174. 6 indexed citations

5.

Zorn‐Kruppa, Michaela, et al.. (2015). Assessment of the eye irritation potential of chemicals: A comparison study between two test methods based on human 3D hemi-cornea models. Toxicology in Vitro. 30(1). 561–568. 2 indexed citations

6.

Brandner, J. M., et al.. (2009). Evidence for distinct populations of human Merkel cells. Histochemistry and Cell Biology. 132(1). 83–93. 38 indexed citations

7.

Brandner, J. M.. (2007). Pores in the epidermis: aquaporins and tight junctions. International Journal of Cosmetic Science. 29(6). 413–422. 16 indexed citations

8.

Ohnemus, Ulrich, Clarissa Willers, Michaël Bubenheim, et al.. (2007). An ex‐vivo oral mucosa infection model for the evaluation of the topical activity of antifungal agents. Mycoses. 51(1). 21–29. 11 indexed citations

9.

Brandner, J. M., et al.. (2006). Caffeine improves barrier function in male skin. International Journal of Cosmetic Science. 28(5). 343–347. 21 indexed citations

10.

Brandner, J. M., S Kief, Ewa Wladykowski, Pavel Houdek, & Ingrid Moll. (2006). Tight Junction Proteins in the Skin. Skin Pharmacology and Physiology. 19(2). 71–77. 68 indexed citations

11.

Stadler, Ruth, J. M. Brandner, Alexander Schulz, Manfred Gahrtz, & Norbert Sauer. (1995). Phloem Loading by the PmSUC2 Sucrose Carrier from Plantago major Occurs into Companion Cells.. The Plant Cell. 7(10). 1545–1554. 141 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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