Danielle Jorgensen
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Infectious Diseases top 10%
- Viral Infections and Vectors
- Tuberculosis Research and Epidemiology
Papers in
-
- Tuberculosis Research and Epidemiology 7
- Viral Infections and Vectors 4
-
- Mycobacterium research and diagnosis 7
- Co-authors
- Muhammad Morshed (3 shared papers)Min-Kuang Lee (3 shared papers)Judith L. Isaac‐Renton (2 shared papers)John D. Scott (2 shared papers)Lance A. Durden (2 shared papers)Keerthi Fernando (2 shared papers)Sunny Mak (1 shared paper)Diane Eisler (1 shared paper)
- Journals
- Epidemiology and Infection (2 papers)Journal of Clinical Microbiology (2 papers)Clinical Infectious Diseases (1 paper)Tropical Medicine and Infectious Disease (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- CanadaQatarUnited States
In The Last Decade
Danielle Jorgensen
11 papers receiving 213 citations
Peers
Comparison fields: 5 of 38
- Parasitology 84
- Infectious Diseases 176
- Microbiology 13
- Ecology, Evolution, Behavior and Systematics 38
- Epidemiology 67
Countries citing papers authored by Danielle Jorgensen
This map shows the geographic impact of Danielle Jorgensen'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 Danielle Jorgensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Jorgensen more than expected).
Fields of papers citing papers by Danielle Jorgensen
This network shows the impact of papers produced by Danielle Jorgensen. 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 Danielle Jorgensen. The network helps show where Danielle Jorgensen may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Jorgensen, 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 | 2010 | 67 | |
| 2 | 2007 | 37 | |
| 3 | 2004 | 33 | |
| 4 | 2017 | 21 | |
| 5 | 2018 | 20 | |
| 6 | 2008 | 16 | |
| 7 | 2019 | 14 | |
| 8 | 2020 | 8 | |
| 9 | 2018 | 5 | |
| 10 | 2019 | 2 | |
| 11 | 1979 | 2 | |
| 12 | 2025 | 0 |
About Danielle Jorgensen
Danielle Jorgensen is a scholar working on Infectious Diseases, Epidemiology, Surgery, Public Health, Environmental and Occupational Health and Insect Science, having authored 12 papers that have together received 225 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Mycobacterium research and diagnosis (7 papers), Viral Infections and Vectors (4 papers), Infectious Diseases and Tuberculosis (4 papers), Diagnosis and treatment of tuberculosis (2 papers), Vector-borne infectious diseases (2 papers), Mosquito-borne diseases and control (2 papers) and Antibiotic Resistance in Bacteria (1 paper). The work is most often cited by research in Parasitology (84 citations), Infectious Diseases (176 citations), Microbiology (13 citations), Ecology, Evolution, Behavior and Systematics (38 citations) and Epidemiology (67 citations). Danielle Jorgensen has collaborated with scholars based in Canada, Qatar and United States. Frequent co-authors include Muhammad Morshed, Min-Kuang Lee, Judith L. Isaac‐Renton, John D. Scott, Lance A. Durden, Keerthi Fernando, Sunny Mak, Diane Eisler, A. McNabb and James C. Johnston. Their work appears in journals such as Epidemiology and Infection, Journal of Clinical Microbiology, Clinical Infectious Diseases, Tropical Medicine and Infectious Disease and The Journal of 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.