Cornelia Wiegand

4.3k total citations
122 papers, 3.0k citations indexed

About

Cornelia Wiegand is a scholar working on Rehabilitation, Epidemiology and Organic Chemistry. According to data from OpenAlex, Cornelia Wiegand has authored 122 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Rehabilitation, 28 papers in Epidemiology and 26 papers in Organic Chemistry. Recurrent topics in Cornelia Wiegand's work include Wound Healing and Treatments (37 papers), Antimicrobial agents and applications (25 papers) and Nail Diseases and Treatments (24 papers). Cornelia Wiegand is often cited by papers focused on Wound Healing and Treatments (37 papers), Antimicrobial agents and applications (25 papers) and Nail Diseases and Treatments (24 papers). Cornelia Wiegand collaborates with scholars based in Germany, United States and Netherlands. Cornelia Wiegand's co-authors include Uta‐Christina Hipler, Peter Elsner, Martin Abel, U.‐C. Hipler, Peter Ruth, Thomas Heinze, Dagmar Fischer, Dana Kralisch, Falko Wesarg and Frank A. Müller and has published in prestigious journals such as PLoS ONE, Biomaterials and Scientific Reports.

In The Last Decade

Cornelia Wiegand

117 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cornelia Wiegand Germany 32 827 755 549 385 383 122 3.0k
Uta‐Christina Hipler Germany 36 594 0.7× 593 0.8× 842 1.5× 429 1.1× 274 0.7× 119 3.3k
George Han United States 21 1.4k 1.7× 816 1.1× 219 0.4× 552 1.4× 347 0.9× 84 3.4k
Marco Andrey Cipriani Frade Brazil 31 792 1.0× 458 0.6× 411 0.7× 262 0.7× 563 1.5× 137 3.1k
Peng‐Hui Wang China 32 834 1.0× 737 1.0× 134 0.2× 843 2.2× 412 1.1× 103 3.2k
Shuzhen Guo China 3 2.3k 2.7× 822 1.1× 212 0.4× 477 1.2× 873 2.3× 5 4.0k
Navin Kumar Verma Singapore 35 337 0.4× 1.0k 1.4× 231 0.4× 844 2.2× 196 0.5× 106 4.0k
Giuseppina Sandri Italy 48 970 1.2× 2.2k 2.9× 147 0.3× 922 2.4× 521 1.4× 202 6.6k
Shree R. Singh United States 32 522 0.6× 1.0k 1.4× 377 0.7× 917 2.4× 324 0.8× 93 4.4k
Franca Ferrari Italy 48 854 1.0× 1.9k 2.5× 119 0.2× 830 2.2× 444 1.2× 163 6.3k
Kristo Nuutila United States 24 1.4k 1.7× 928 1.2× 245 0.4× 379 1.0× 549 1.4× 69 2.6k

Countries citing papers authored by Cornelia Wiegand

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Wiegand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cornelia Wiegand

This figure shows the co-authorship network connecting the top 25 collaborators of Cornelia Wiegand. A scholar is included among the top collaborators of Cornelia Wiegand 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 Cornelia Wiegand. Cornelia Wiegand 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.
Burmester, Anke, Silke Uhrlaß, Mario Fabri, et al.. (2025). Significant Impact of Growth Medium on Itraconazole Susceptibility in Azole-Resistant Versus Wild-Type Trichophyton indotineae, rubrum, and quinckeanum Isolates. International Journal of Molecular Sciences. 26(15). 7090–7090. 1 indexed citations
2.
Günther, Albrecht, Anke Burmester, Mario Fabri, Jörg Tittelbach, & Cornelia Wiegand. (2025). Co-Treatment with Ritonavir or Sertraline Enhances Itraconazole Efficacy Against Azole-Resistant Trichophyton indotineae Isolates. Journal of Fungi. 11(10). 698–698.
3.
Reddersen, Kirsten, et al.. (2025). Tattooed human in vitro skin model for testing the biocompatibility of tattoo inks and healing progression after tattooing. Scientific Reports. 15(1). 2277–2277. 1 indexed citations
4.
5.
Werz, Oliver, et al.. (2024). Bilayered skin equivalent mimicking psoriasis as predictive tool for preclinical treatment studies. Communications Biology. 7(1). 1529–1529. 3 indexed citations
6.
Hebecker, Betty, Paul M. Jordan, Oliver Werz, et al.. (2023). Establishment and Characterization of Mild Atopic Dermatitis in the DNCB-Induced Mouse Model. International Journal of Molecular Sciences. 24(15). 12325–12325. 34 indexed citations
7.
8.
Fischer, M., et al.. (2023). Cold Atmospheric Plasma Exerts Antimicrobial Effects in a 3D Skin Model of Cutaneous Candidiasis. Antibiotics. 12(5). 933–933. 3 indexed citations
9.
Wallert, Maria, et al.. (2023). Effects of Histamine and the α-Tocopherol Metabolite α-13′-COOH in an Atopic Dermatitis Full-Thickness Skin Model. Molecules. 28(1). 440–440. 2 indexed citations
10.
11.
Reddersen, Kirsten, Jörg Tittelbach, & Cornelia Wiegand. (2022). 3D Biofilm Models Containing Multiple Species for Antimicrobial Testing of Wound Dressings. Microorganisms. 10(10). 2027–2027. 2 indexed citations
12.
Kralisch, Dana, et al.. (2022). Bacterial nanocellulose patches as a carrier for hydrating formulations to improve the topical treatment of nail diseases. International Journal of Pharmaceutics. 628. 122267–122267. 5 indexed citations
13.
Wiegand, Cornelia, Uta‐Christina Hipler, Peter Elsner, & Jörg Tittelbach. (2021). Keratinocyte and Fibroblast Wound Healing In Vitro Is Repressed by Non-Optimal Conditions but the Reparative Potential Can Be Improved by Water-Filtered Infrared A. Biomedicines. 9(12). 1802–1802. 21 indexed citations
14.
Schmölz, Lisa, Friedemann Börner, Jana Gerstmeier, et al.. (2020). Modified Bacterial Cellulose Dressings to Treat Inflammatory Wounds. Nanomaterials. 10(12). 2508–2508. 19 indexed citations
15.
Wiegand, Cornelia, et al.. (2020). A shell-less hen’s egg test as infection model to determine the biocompatibility and antimicrobial efficacy of drugs and drug formulations against Pseudomonas aeruginosa. International Journal of Pharmaceutics. 585. 119557–119557. 4 indexed citations
16.
Wollina, Uwe, et al.. (2018). CALCIUM HYDROXYLAPATITE MICROSPHERES - BIOCOMPATIBILITY AND CLINICAL EFFECTS.. PubMed. 62–68. 10 indexed citations
17.
Matthäus, Christian, et al.. (2017). Raman and infrared spectroscopy differentiate senescent from proliferating cells in a human dermal fibroblast 3D skin model. The Analyst. 142(23). 4405–4414. 20 indexed citations
18.
Pfuch, Andreas, et al.. (2015). Atmospheric pressure plasma CVD as a tool to functionalise wound dressings. Journal of Materials Science Materials in Medicine. 26(2). 76–76. 13 indexed citations
19.
Wiegand, Cornelia, Martin Abel, Peter Ruth, & U.‐C. Hipler. (2011). Superabsorbent polymer-containing wound dressings have a beneficial effect on wound healing by reducing PMN elastase concentration and inhibiting microbial growth. Journal of Materials Science Materials in Medicine. 22(11). 2583–2590. 52 indexed citations
20.
Wiegand, Cornelia, et al.. (2009). Protease and pro-inflammatory cytokine concentrations are elevated in chronic compared to acute wounds and can be modulated by collagen type I in vitro. Archives of Dermatological Research. 302(6). 419–428. 99 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Uta‐Christina Hipler Breakdown of academic impact, for papers by George Han Breakdown of academic impact, for papers by Marco Andrey Cipriani Frade Breakdown of academic impact, for papers by Peng‐Hui Wang Breakdown of academic impact, for papers by Shuzhen Guo Breakdown of academic impact, for papers by Navin Kumar Verma Breakdown of academic impact, for papers by Giuseppina Sandri Breakdown of academic impact, for papers by Shree R. Singh Breakdown of academic impact, for papers by Franca Ferrari Breakdown of academic impact, for papers by Kristo Nuutila
Rankless by CCL
2026