Kai Hilpert

11.4k total citations · 1 hit paper
71 papers, 8.4k citations indexed

About

Kai Hilpert is a scholar working on Molecular Biology, Microbiology and Immunology. According to data from OpenAlex, Kai Hilpert has authored 71 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 48 papers in Microbiology and 12 papers in Immunology. Recurrent topics in Kai Hilpert's work include Antimicrobial Peptides and Activities (48 papers), Biochemical and Structural Characterization (26 papers) and Chemical Synthesis and Analysis (15 papers). Kai Hilpert is often cited by papers focused on Antimicrobial Peptides and Activities (48 papers), Biochemical and Structural Characterization (26 papers) and Chemical Synthesis and Analysis (15 papers). Kai Hilpert collaborates with scholars based in Germany, United Kingdom and Canada. Kai Hilpert's co-authors include Robert E. W. Hancock, Irith Wiegand, Rudolf Volkmer, Dirk Winkler, Håvard Jenssen, Christopher D. Fjell, Artem Cherkasov, Ralf Mikut, Serge Ruden and Anne S. Ulrich and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Kai Hilpert

71 papers receiving 8.2k citations

Hit Papers

Agar and broth dilution methods to determine the minimal ... 2008 2026 2014 2020 2008 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Hilpert Germany 31 4.3k 3.8k 1.5k 1.1k 904 71 8.4k
Eefjan Breukink Netherlands 58 6.7k 1.6× 2.6k 0.7× 982 0.6× 2.9k 2.7× 1.1k 1.2× 160 10.9k
Irith Wiegand Canada 21 2.7k 0.6× 1.7k 0.4× 949 0.6× 950 0.9× 1.9k 2.1× 27 6.5k
Mohamed N. Seleem United States 48 3.4k 0.8× 1.9k 0.5× 2.1k 1.4× 760 0.7× 716 0.8× 225 7.9k
Yoonkyung Park South Korea 50 4.6k 1.1× 3.5k 0.9× 639 0.4× 669 0.6× 284 0.3× 233 8.0k
Dong Gun Lee South Korea 53 3.7k 0.9× 2.5k 0.7× 777 0.5× 1.2k 1.1× 274 0.3× 215 9.2k
Håvard Jenssen Denmark 47 4.7k 1.1× 4.9k 1.3× 952 0.6× 755 0.7× 378 0.4× 135 8.4k
Martti Vaara Finland 48 4.8k 1.1× 2.0k 0.5× 850 0.6× 2.2k 2.0× 3.2k 3.5× 168 11.9k
Brendan Gilmore United Kingdom 47 2.9k 0.7× 1.1k 0.3× 1.0k 0.7× 490 0.5× 873 1.0× 153 7.4k
Kenneth W. Bayles United States 57 7.6k 1.8× 1.8k 0.5× 355 0.2× 681 0.6× 807 0.9× 138 10.8k
José L. López-Ribot United States 70 5.4k 1.3× 1.2k 0.3× 1.2k 0.8× 2.1k 1.9× 341 0.4× 194 15.9k

Countries citing papers authored by Kai Hilpert

Since Specialization
Citations

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

Fields of papers citing papers by Kai Hilpert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Hilpert

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Hilpert. A scholar is included among the top collaborators of Kai Hilpert 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 Kai Hilpert. Kai Hilpert 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
2.
Hilpert, Kai, et al.. (2023). Can BioSAXS detect ultrastructural changes of antifungal compounds in Candida albicans?–an exploratory study. Frontiers in Pharmacology. 14. 1141785–1141785. 1 indexed citations
3.
Yu, Kai, John Cheng, Yan Mei, et al.. (2021). Rapid Assembly of Infection-Resistant Coatings: Screening and Identification of Antimicrobial Peptides Works in Cooperation with an Antifouling Background. ACS Applied Materials & Interfaces. 13(31). 36784–36799. 29 indexed citations
4.
Hilpert, Kai & Ralf Mikut. (2021). Is There a Connection Between Gut Microbiome Dysbiosis Occurring in COVID-19 Patients and Post-COVID-19 Symptoms?. Frontiers in Microbiology. 12. 732838–732838. 17 indexed citations
5.
Grimsey, Elizabeth, et al.. (2020). The effect of lipidation and glycosylation on short cationic antimicrobial peptides. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1862(8). 183195–183195. 78 indexed citations
6.
Mardirossian, Mario, Natacha Pérébaskine, Monica Benincasa, et al.. (2018). The Dolphin Proline-Rich Antimicrobial Peptide Tur1A Inhibits Protein Synthesis by Targeting the Bacterial Ribosome. Cell chemical biology. 25(5). 530–539.e7. 109 indexed citations
7.
Knappe, Daniel, Serge Ruden, Ralf Mikut, et al.. (2015). Optimization of oncocin for antibacterial activity using a SPOT synthesis approach: extending the pathogen spectrum to Staphylococcus aureus. Amino Acids. 48(1). 269–280. 35 indexed citations
8.
Garamus, Vasil M., Heather Davies, Markus Reischl, et al.. (2015). Small angle X-ray scattering as a high-throughput method to classify antimicrobial modes of action. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1858(5). 918–925. 29 indexed citations
9.
Wieczorek, Michał W., Håvard Jenssen, Jason Kindrachuk, et al.. (2010). Structural Studies of An Immune Modulating and Direct Antimicrobial Peptide. Biophysical Journal. 98(3). 84a–84a. 1 indexed citations
10.
Wieczorek, Michał W., Håvard Jenssen, Jason Kindrachuk, et al.. (2010). Structural Studies of a Peptide with Immune Modulating and Direct Antimicrobial Activity. Chemistry & Biology. 17(9). 970–980. 139 indexed citations
11.
Mikut, Ralf & Kai Hilpert. (2009). Interpretable Features for the Activity Prediction of Short Antimicrobial Peptides Using Fuzzy Logic. International Journal of Peptide Research and Therapeutics. 15(2). 129–137. 14 indexed citations
12.
Hilpert, Kai. (2009). High-Throughput Screening for Antimicrobial Peptides Using the SPOT Technique. Methods in molecular biology. 618. 125–133. 7 indexed citations
13.
Fjell, Christopher D., Håvard Jenssen, Patrick Fries, et al.. (2008). Identification of novel host defense peptides and the absence of α‐defensins in the bovine genome. Proteins Structure Function and Bioinformatics. 73(2). 420–430. 46 indexed citations
15.
Hilpert, Kai, Dirk Winkler, & Robert E. W. Hancock. (2007). Peptide arrays on cellulose support: SPOT synthesis, a time and cost efficient method for synthesis of large numbers of peptides in a parallel and addressable fashion. Nature Protocols. 2(6). 1333–1349. 225 indexed citations
16.
Hilpert, Kai, et al.. (2005). High-throughput generation of small antibacterial peptides with improved activity. Nature Biotechnology. 23(8). 1008–1012. 325 indexed citations
17.
Hilpert, Kai, et al.. (2005). Complete Substitutional Analysis of a Sunflower Trypsin Inhibitor with Different Serine Proteases. The Journal of Biochemistry. 138(4). 383–390. 26 indexed citations
18.
Höhne, Wolfgang & Kai Hilpert. (2005). Unraveling Sub-Site Specificities of Peptidic Serine Protease Inhibitors by Substitutional and Structural Analysis. Protein and Peptide Letters. 12(5). 449–456. 5 indexed citations
19.
Würtele, Martin, Michael G. Hahn, Kai Hilpert, & Wolfgang Höhne. (2000). Atomic resolution structure of native porcine pancreatic elastase at 1.1 Å. Acta Crystallographica Section D Biological Crystallography. 56(4). 520–523. 41 indexed citations
20.
Hilpert, Kai, et al.. (1999). Interaction of the Capsid Protein p24 (HIV-1) with Sequence-Derived Peptides: Influence on p24 Dimerization. Virology. 254(1). 6–10. 16 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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