Daniel B. Jernigan
Impact in
- Infectious Diseases top 0.1%
- Antimicrobial Resistance in Staphylococcus
- Clostridium difficile and Clostridium perfringens research
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 epidemiological studies 16
-
- Antimicrobial Resistance in Staphylococcus 16
- Viral Infections and Outbreaks Research 11
- Co-authors
- L. Clifford McDonaldLisa A. GrohskopfKaren R. BroderMaria OwingsAlicia M. FryLeslie Z. SokolowEmmanuel B. WalterJoseph Bresee
- Journals
- Emerging infectious diseases (18 papers)Clinical Infectious Diseases (12 papers)MMWR Morbidity and Mortality Weekly Report (6 papers)JAMA (4 papers)The Lancet (4 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Daniel B. Jernigan
107 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Infectious Diseases 4.7k
- Modeling and Simulation 1.0k
- Applied Microbiology and Biotechnology 404
- Epidemiology 5.8k
- Health 1.1k
Countries citing papers authored by Daniel B. Jernigan
This map shows the geographic impact of Daniel B. Jernigan'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 B. Jernigan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel B. Jernigan more than expected).
Fields of papers citing papers by Daniel B. Jernigan
This network shows the impact of papers produced by Daniel B. Jernigan. 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 B. Jernigan. The network helps show where Daniel B. Jernigan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel B. Jernigan, 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 | 2024 | 2 | |
| 2 | 2018 | 39 | |
| 3 | 2012 | 85 | |
| 4 | 2010 | 135 | |
| 5 | 2010 | 72 | |
| 6 | Update: influenza activity - United States, April-August 2009. | 2009 | 39 |
| 7 | 2007 | 89 | |
| 8 | 2007 | 81 | |
| 9 | 2006 | 27 | |
| 10 | 2006 | 31 | |
| 11 | 2005 | 16 | |
| 12 | 2004 | 188 | |
| 13 | 2004 | 6 | |
| 14 | 2004 | 62 | |
| 15 | 2004 | 19 | |
| 16 | 2004 | 29 | |
| 17 | 2003 | 29 | |
| 18 | 2001 | 9 | |
| 19 | 2001 | 20 | |
| 20 | 1994 | 17 |
About Daniel B. Jernigan
Daniel B. Jernigan is a scholar working on Modeling and Simulation, Infectious Diseases, Applied Microbiology and Biotechnology, Clinical Biochemistry and Epidemiology, having authored 109 papers that have together received 11.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (41 papers), Respiratory viral infections research (24 papers), Antimicrobial Resistance in Staphylococcus (16 papers), COVID-19 epidemiological studies (16 papers), Bacterial Identification and Susceptibility Testing (13 papers), Viral Infections and Outbreaks Research (11 papers), Pneumonia and Respiratory Infections (10 papers) and Streptococcal Infections and Treatments (10 papers). The work is most often cited by research in Infectious Diseases (4.7k citations), Modeling and Simulation (1.0k citations), Applied Microbiology and Biotechnology (404 citations), Epidemiology (5.8k citations) and Health (1.1k citations). Daniel B. Jernigan has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include L. Clifford McDonald, Lisa A. Grohskopf, Karen R. Broder, Maria Owings, Alicia M. Fry, Leslie Z. Sokolow, Emmanuel B. Walter, Joseph Bresee, Timothy M. Uyeki and Carrie Reed. Their work appears in journals such as Emerging infectious diseases, Clinical Infectious Diseases, MMWR Morbidity and Mortality Weekly Report, JAMA and The Lancet.
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.