Charles Knirsch
Impact in
- Infectious Diseases top 1%
- Antimicrobial Resistance in Staphylococcus
- Tuberculosis Research and Epidemiology
Papers in
-
- Antibiotic Resistance in Bacteria 6
- Co-authors
- Ariel Pablos-MéndezAnnaliesa S. AndersonKathrin U. JansenGeorge HripcsakR. Graham BarrMatthew DrydenKamal ItaniWilliam Lau
- Journals
- Clinical Infectious Diseases (10 papers)Antimicrobial Agents and Chemotherapy (6 papers)The American Journal of Medicine (3 papers)Vaccine (2 papers)The Lancet Infectious Diseases (2 papers)
- Partner nations
- United StatesUnited KingdomThailand
In The Last Decade
Charles Knirsch
54 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 148
- Applied Microbiology and Biotechnology 155
- Infectious Diseases 1.3k
- Molecular Medicine 299
- Clinical Biochemistry 364
- Microbiology 194
Countries citing papers authored by Charles Knirsch
This map shows the geographic impact of Charles Knirsch'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 Charles Knirsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Knirsch more than expected).
Fields of papers citing papers by Charles Knirsch
This network shows the impact of papers produced by Charles Knirsch. 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 Charles Knirsch. The network helps show where Charles Knirsch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Charles Knirsch, 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 | 2022 | 1 | |
| 2 | 2018 | 242 | |
| 3 | 2016 | 4 | |
| 4 | 2013 | 92 | |
| 5 | 2012 | 18 | |
| 6 | 2004 | 68 | |
| 7 | 2004 | 41 | |
| 8 | 2003 | 43 | |
| 9 | 2003 | 32 | |
| 10 | 2003 | 78 | |
| 11 | Knowledge Discovery Using the Electronic Medical Record | 2002 | 1 |
| 12 | 2002 | 18 | |
| 13 | 2001 | 11 | |
| 14 | 2000 | 69 | |
| 15 | 2000 | 48 | |
| 16 | 1999 | 25 | |
| 17 | 1999 | 47 | |
| 18 | Using Palmtop Computers to Retrieve Clinical Information | 1997 | 2 |
| 19 | 1997 | 148 | |
| 20 | 1997 | 38 |
About Charles Knirsch
Charles Knirsch is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Infectious Diseases, Microbiology and Epidemiology, having authored 54 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (12 papers), Tuberculosis Research and Epidemiology (8 papers), Antibiotic Resistance in Bacteria (6 papers), Reproductive tract infections research (5 papers), Machine Learning in Healthcare (5 papers), Biomedical Text Mining and Ontologies (5 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Pneumocystis jirovecii pneumonia detection and treatment (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (155 citations), Infectious Diseases (1.3k citations), Molecular Medicine (299 citations), Clinical Biochemistry (364 citations) and Microbiology (194 citations). Charles Knirsch has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Ariel Pablos-Méndez, Annaliesa S. Anderson, Kathrin U. Jansen, George Hripcsak, R. Graham Barr, Matthew Dryden, Kamal Itani, William Lau, John A. Weigelt and Dennis L. Stevens. Their work appears in journals such as Clinical Infectious Diseases, Antimicrobial Agents and Chemotherapy, The American Journal of Medicine, Vaccine and The Lancet 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.