Jennifer Flood
- Infectious Diseases top 1%
- Epidemiology top 2%
- Surgery top 5%
- Oncology top 5%
- Physiology top 10%
- Co-authors
- Dean H. KedesRobert KohnMichael P. BuschEva A. OperskalskiDon GanemPennan M. BarrySundari MaseJanice Westenhouse
- Topics
- Tuberculosis Research and Epidemiology (68 papers)Pneumonia and Respiratory Infections (26 papers)Mycobacterium research and diagnosis (25 papers)
- Partner nations
- United StatesTaiwanPhilippines
In The Last Decade
Jennifer Flood
84 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Infectious Diseases 1.6k
- Epidemiology 1.5k
- Surgery 587
- Oncology 585
- Physiology 220
Countries citing papers authored by Jennifer Flood
This map shows the geographic impact of Jennifer Flood'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 Jennifer Flood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Flood more than expected).
Fields of papers citing papers by Jennifer Flood
This network shows the impact of papers produced by Jennifer Flood. 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 Jennifer Flood. The network helps show where Jennifer Flood may publish in the future.
Co-authorship network of co-authors of Jennifer Flood
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Flood. A scholar is included among the top collaborators of Jennifer Flood 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 Jennifer Flood. Jennifer Flood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 8 | |
| 10 | 16 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 127 | |
| 14 | 8 | |
| 15 | 61 | |
| 16 | Impact of a shortage of first-line antituberculosis medication on tuberculosis control - United States, 2012-2013. | 20 |
| 17 | 13 | |
| 18 | 39 | |
| 19 | 9 | |
| 20 | The seroepidemiology of human herpesvirus 8 (Kaposi's sarcoma–associated herpesvirus): Distribution of infection in KS risk groups and evidence for sexual transmissionbreakdown → | 583 |
About Jennifer Flood
Jennifer Flood is a scholar working on Infectious Diseases, Epidemiology and Microbiology, having authored 84 papers that have together received 2.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (68 papers), Pneumonia and Respiratory Infections (26 papers) and Mycobacterium research and diagnosis (25 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Epidemiology (1.5k citations) and Microbiology (151 citations). Jennifer Flood has collaborated with scholars based in United States, Taiwan and Philippines. Frequent co-authors include Dean H. Kedes, Robert Kohn, Michael P. Busch, Eva A. Operskalski, Don Ganem, Pennan M. Barry, Sundari Mase, Janice Westenhouse, Peter Oh and Gisela Schecter. Their work appears in journals such as New England Journal of Medicine, Nature Medicine and PLoS ONE.
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.