Anja Penk

598 citations
33 papers · 440 · h-index 13

Impact in

Papers in

    • Antifungal resistance and susceptibility 12
    • Glycosylation and Glycoproteins Research 5
    • Lipid Membrane Structure and Behavior 4
    • Protein Structure and Dynamics 2

Anja Penk

32 papers receiving 428 citations

Peers

Anja Penk
Comparison fields: 5 of 87
  • Infectious Diseases 141
  • Molecular Medicine 22
  • Epidemiology 117
  • Microbiology 23
  • Applied Microbiology and Biotechnology 6
Replace Heidi Wolfmeier with:
Heidi Wolfmeier Switzerland
Helene H. Jensen Denmark
David A. Sanchez United States
Pirouz Daftarian United States
Keyi Liu China
Timothy Wessler United States
Cristiane de Souza Carvalho‐Wodarz Germany
Christian Schoch Germany
Frauke Stanke Germany
Anja Penk relative to Heidi Wolfmeier Switzerland Heidi Wolfmeier's profile →
Citations per field
00.5×2.7×
Heidi Wolfmeier · 1×
Citations per year

Countries citing papers authored by Anja Penk

Since Specialization
Citations

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

Fields of papers citing papers by Anja Penk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anja Penk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anja Penk Line = papers co-authored together Anja Penk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201258
2 199742
3 199935
4 201634
5 201927
6 202224
7 201622
8
Treatment of candidal infections with fluconazole in neonates and infants.
200022
9 199919
10 201519
11 202017
12 201515
13 199912
14 199711
15 199911
16 201011
17 199910
18 20208
19 20217
20 20247

About Anja Penk

Anja Penk is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Cell Biology and Oncology, having authored 33 papers that have together received 440 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (12 papers), Fungal Infections and Studies (7 papers), Glycosylation and Glycoproteins Research (5 papers), Antimicrobial Peptides and Activities (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Lipid Membrane Structure and Behavior (4 papers), Cell Adhesion Molecules Research (3 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Infectious Diseases (141 citations), Molecular Medicine (22 citations), Epidemiology (117 citations), Microbiology (23 citations) and Applied Microbiology and Biotechnology (6 citations). Anja Penk has collaborated with scholars based in Germany, Australia and Poland. Frequent co-authors include Daniel Huster, K. H. Duswald, R Schwarze, Sergey A. Samsonov, Holger A. Scheidt, Lars Baumann, Yvonne Förster, Stefan Rammelt, Oliver Lieleg and Thomas Bein. Their work appears in journals such as Mycoses, Chemistry - A European Journal, Magnetic Resonance in Medicine, Signal Transduction and Targeted Therapy and Macromolecular Bioscience.

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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