Sally Ann Iverson
- Infectious Diseases top 10%
- Molecular Biology
- Clinical Biochemistry top 5%
- Health, Toxicology and Mutagenesis
- Public Health, Environmental and Occupational Health
- Co-authors
- Meghan F. DavisDaniel O. MorrisEbbing LautenbachPatrick BaronEllen K. SilbergeldRebecca SunenshineShelley C. RankinJacqueline M. Ferguson
- Topics
- Antimicrobial Resistance in Staphylococcus (6 papers)Bacterial Identification and Susceptibility Testing (4 papers)Leptospirosis research and findings (3 papers)
- Journals
- The Lancet Infectious DiseasesVeterinary MicrobiologyJournal of the American Veterinary Medical Association
- Partner nations
- United StatesPeruDenmark
In The Last Decade
Sally Ann Iverson
13 papers receiving 287 citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 166
- Molecular Biology 81
- Clinical Biochemistry 75
- Health, Toxicology and Mutagenesis 38
- Public Health, Environmental and Occupational Health 36
Countries citing papers authored by Sally Ann Iverson
This map shows the geographic impact of Sally Ann Iverson'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 Sally Ann Iverson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sally Ann Iverson more than expected).
Fields of papers citing papers by Sally Ann Iverson
This network shows the impact of papers produced by Sally Ann Iverson. 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 Sally Ann Iverson. The network helps show where Sally Ann Iverson may publish in the future.
Co-authorship network of co-authors of Sally Ann Iverson
This figure shows the co-authorship network connecting the top 25 collaborators of Sally Ann Iverson. A scholar is included among the top collaborators of Sally Ann Iverson 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 Sally Ann Iverson. Sally Ann Iverson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 7 | |
| 3 | 15 | |
| 4 | 35 | |
| 5 | 18 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 40 | |
| 11 | 3 | |
| 12 | 132 | |
| 13 | 18 |
About Sally Ann Iverson
Sally Ann Iverson is a scholar working on Clinical Biochemistry, Infectious Diseases and Parasitology, having authored 13 papers that have together received 293 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial Identification and Susceptibility Testing (4 papers) and Leptospirosis research and findings (3 papers). The work is most often cited by research in Clinical Biochemistry (75 citations), Infectious Diseases (166 citations) and Microbiology (33 citations). Sally Ann Iverson has collaborated with scholars based in United States, Peru and Denmark. Frequent co-authors include Meghan F. Davis, Daniel O. Morris, Ebbing Lautenbach, Patrick Baron, Ellen K. Silbergeld, Rebecca Sunenshine, Shelley C. Rankin, Jacqueline M. Ferguson, Carla P. Bezold and Kate Goodin. Their work appears in journals such as The Lancet Infectious Diseases, Veterinary Microbiology and Journal of the American Veterinary Medical Association.
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.