Daniel S. Chapple

1.5k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

Daniel S. Chapple is a scholar working on Infectious Diseases, Molecular Biology and Microbiology. According to data from OpenAlex, Daniel S. Chapple has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Molecular Biology and 4 papers in Microbiology. Recurrent topics in Daniel S. Chapple's work include Antimicrobial Peptides and Activities (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Biochemical and Structural Characterization (3 papers). Daniel S. Chapple is often cited by papers focused on Antimicrobial Peptides and Activities (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Biochemical and Structural Characterization (3 papers). Daniel S. Chapple collaborates with scholars based in United Kingdom, Brazil and Canada. Daniel S. Chapple's co-authors include Robert E. W. Hancock, Robert W. Evans, Edward Odell, Christopher L. Joannou, David Mason, Vanya Gant, R. Sarra, Giuliano Siligardi, Rohanah Hussain and Shamez Ladhani and has published in prestigious journals such as FEBS Letters, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Daniel S. Chapple

8 papers receiving 1.3k citations

Hit Papers

Peptide Antibiotics 1999 2026 2008 2017 1999 250 500 750 1000

Peers

Daniel S. Chapple
Comparison fields: 5 of 83
  • Microbiology 968
  • Molecular Biology 749
  • Immunology 294
  • Molecular Medicine 172
  • Nutrition and Dietetics 121
Replace Timothy J. Falla with:
Timothy J. Falla United Kingdom
Melissa Elliott Canada
Berthony Deslouches United States
Anup Datta United States
Clara Aranha India
Sakuo Yamada Japan
David K. Giles United States
Jessica V. Hankins United States
An X. Tran United States
Reinhold Brückner Germany
Timothy J. Falla United Kingdom View profile →
Citations per field, relative to Daniel S. Chapple
Daniel S. Chapple · 1×
Citations per year, relative to Daniel S. Chapple
Daniel S. Chapple · 1×

Countries citing papers authored by Daniel S. Chapple

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Chapple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel S. Chapple

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 61
2
4
3 4
4 3
5 27
6
Peptide Antibiotics breakdown →
1038
7 97
8 68

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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