Daniel Knappe

3.0k citations
63 papers · 2.5k · h-index 28

Impact in

Papers in

    • Antimicrobial Peptides and Activities 42
    • Biochemical and Structural Characterization 9
    • RNA and protein synthesis mechanisms 8
    • RNA Interference and Gene Delivery 4
    • Protein Hydrolysis and Bioactive Peptides 4

Daniel Knappe

63 papers receiving 2.5k citations

Peers

Daniel Knappe
Comparison fields: 5 of 101
  • Microbiology 1.5k
  • Molecular Medicine 230
  • Molecular Biology 1.6k
  • Endocrine and Autonomic Systems 101
  • Immunology 306
Replace Yuxin Chen with:
Yuxin Chen China
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Citations per field
00.5×10×12.6×
Yuxin Chen · 1×
Citations per year

Countries citing papers authored by Daniel Knappe

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Knappe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Knappe, 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 Daniel Knappe Line = papers co-authored together Daniel Knappe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017244
2 2014213
3 2011162
4 2010124
5 2010111
6 2013104
7 201297
8 201289
9 201087
10 201181
11 201579
12 201566
13 201258
14 200847
15 201446
16 201045
17 201042
18 201042
19 201842
20 201536

About Daniel Knappe

Daniel Knappe is a scholar working on Microbiology, Molecular Biology, Molecular Medicine, Insect Science and Immunology, having authored 63 papers that have together received 2.5k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (42 papers), Antibiotic Resistance in Bacteria (11 papers), Biochemical and Structural Characterization (9 papers), RNA and protein synthesis mechanisms (8 papers), Insect and Pesticide Research (6 papers), Regulation of Appetite and Obesity (5 papers), RNA Interference and Gene Delivery (4 papers) and Protein Hydrolysis and Bioactive Peptides (4 papers). The work is most often cited by research in Microbiology (1.5k citations), Molecular Medicine (230 citations), Molecular Biology (1.6k citations), Endocrine and Autonomic Systems (101 citations) and Immunology (306 citations). Daniel Knappe has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Ralf Hoffmann, Roland Böttger, Norbert Sträter, Andor Krizsan, Daniela Volke, Nicole Berthold, Lisandra L. Martin, Michael Zahn, Stefanie Weinert and Stefania Piantavigna. Their work appears in journals such as ChemBioChem, Journal of Antimicrobial Chemotherapy, Antimicrobial Agents and Chemotherapy, Amino Acids and Biopolymers.

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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