Stanley W. Chapman
- Infectious Diseases top 0.2%
- Epidemiology top 0.5%
- Small Animals top 0.2%
- Pharmacology top 2%
- Cell Biology top 2%
- Co-authors
- Peter G. PappasCarol A. KauffmanJohn D. ClearyRobert W. BradsherWilliam E. DismukesRoy T. SteigbigelRichard D. PearsonP. David Rogers
- Topics
- Antifungal resistance and susceptibility (32 papers)Fungal Infections and Studies (30 papers)Infectious Diseases and Mycology (17 papers)
- Partner nations
- United StatesPeruArgentina
In The Last Decade
Stanley W. Chapman
74 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Infectious Diseases 4.1k
- Epidemiology 3.8k
- Small Animals 737
- Pharmacology 526
- Cell Biology 478
Countries citing papers authored by Stanley W. Chapman
This map shows the geographic impact of Stanley W. Chapman'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 Stanley W. Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanley W. Chapman more than expected).
Fields of papers citing papers by Stanley W. Chapman
This network shows the impact of papers produced by Stanley W. Chapman. 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 Stanley W. Chapman. The network helps show where Stanley W. Chapman may publish in the future.
Co-authorship network of co-authors of Stanley W. Chapman
This figure shows the co-authorship network connecting the top 25 collaborators of Stanley W. Chapman. A scholar is included among the top collaborators of Stanley W. Chapman 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 Stanley W. Chapman. Stanley W. Chapman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 66 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | Anidulafungin versus Fluconazole for Invasive Candidiasisbreakdown → | 618 |
| 5 | A Prospective Observational Study of Candidemia: Epidemiology, Therapy, and Influences on Mortality in Hospitalized Adult and Pediatric Patientsbreakdown → | 666 |
| 6 | 16 | |
| 7 | 350 | |
| 8 | 32 | |
| 9 | 141 | |
| 10 | 28 | |
| 11 | 57 | |
| 12 | 55 | |
| 13 | 60 | |
| 14 | 103 | |
| 15 | 21 | |
| 16 | 49 | |
| 17 | 22 | |
| 18 | 26 | |
| 19 | 9 | |
| 20 | Method of reliable determination of minimal lethal antibiotic concentrationsbreakdown → | 414 |
About Stanley W. Chapman
Stanley W. Chapman is a scholar working on Microbiology, Small Animals and Infectious Diseases, having authored 75 papers that have together received 5.9k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (32 papers), Fungal Infections and Studies (30 papers) and Infectious Diseases and Mycology (17 papers). The work is most often cited by research in Microbiology (307 citations), Infectious Diseases (4.1k citations) and Epidemiology (3.8k citations). Stanley W. Chapman has collaborated with scholars based in United States, Peru and Argentina. Frequent co-authors include Peter G. Pappas, Carol A. Kauffman, John D. Cleary, Robert W. Bradsher, William E. Dismukes, Roy T. Steigbigel, Richard D. Pearson, P. David Rogers, Beatriz Bustamante and Patricia M. Dubbert. Their work appears in journals such as New England Journal of Medicine, Cancer and Clinical Infectious Diseases.
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.