Daniel S. Chapple
Impact in
- Microbiology top 0.2%
- Antimicrobial Peptides and Activities
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Biochemical and Structural Characterization 3
- Lipid Membrane Structure and Behavior 1
- RNA Interference and Gene Delivery 1
-
- Antimicrobial Peptides and Activities 5
- Co-authors
- Robert E. W. Hancock (2 shared papers)Robert W. Evans (7 shared papers)Edward Odell (4 shared papers)Christopher L. Joannou (7 shared papers)Vanya Gant (2 shared papers)David Mason (1 shared paper)R. Sarra (1 shared paper)Rohanah Hussain (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (2 papers)The Pediatric Infectious Disease Journal (2 papers)Infection and Immunity (1 paper)Journal of Clinical Microbiology (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- United KingdomCanadaBrazil
In The Last Decade
Daniel S. Chapple
9 papers receiving 1.3k citations
Daniel S. Chapple's Hit Papers
Peers
Comparison fields: 5 of 84
- Microbiology 982
- Molecular Medicine 172
- Immunology 290
- Molecular Biology 767
- Nutrition and Dietetics 132
Countries citing papers authored by Daniel S. Chapple
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
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-authors
The 14 scholars most cited alongside Daniel S. Chapple, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Peptide Antibiotics Hit paper breakdown → | 1999 | 1094 |
| 2 | 1998 | 98 | |
| 3 | 1996 | 72 | |
| 4 | 2004 | 62 | |
| 5 | 2001 | 29 | |
| 6 | 1998 | 14 | |
| 7 | 2002 | 7 | |
| 8 | 2003 | 5 | |
| 9 | 2003 | 4 |
About Daniel S. Chapple
Daniel S. Chapple is a scholar working on Molecular Biology, Microbiology, Infectious Diseases, Nutrition and Dietetics and Immunology, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Biochemical and Structural Characterization (3 papers), Infant Nutrition and Health (2 papers), Streptococcal Infections and Treatments (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Lipid Membrane Structure and Behavior (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Microbiology (982 citations), Molecular Medicine (172 citations), Immunology (290 citations), Molecular Biology (767 citations) and Nutrition and Dietetics (132 citations). Daniel S. Chapple has collaborated with scholars based in United Kingdom, Canada and Brazil. Frequent co-authors include Robert E. W. Hancock, Robert W. Evans, Edward Odell, Christopher L. Joannou, Vanya Gant, David Mason, R. Sarra, Rohanah Hussain, Giuliano Siligardi and Shamez Ladhani. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The Pediatric Infectious Disease Journal, Infection and Immunity, Journal of Clinical Microbiology and Advances in experimental medicine and biology.
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.