David F. Ackart
- Infectious Diseases top 2%
- Epidemiology top 5%
- Molecular Biology
- Surgery
- Nutrition and Dietetics top 10%
- Co-authors
- Randall J. BasarabaIan M. OrmeBrendan K. PodellCrystal A. ShanleyNatalie M. KirkFrank WolschendorfGyanu LamichhaneScott T. Nolan
- Topics
- Tuberculosis Research and Epidemiology (23 papers)Mycobacterium research and diagnosis (15 papers)Antibiotic Resistance in Bacteria (7 papers)
- Journals
- Proceedings of the National Academy of SciencesAngewandte Chemie International EditionSHILAP Revista de lepidopterología
- Partner nations
- United StatesSwitzerlandPhilippines
In The Last Decade
David F. Ackart
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Infectious Diseases 634
- Epidemiology 502
- Molecular Biology 275
- Surgery 188
- Nutrition and Dietetics 141
Countries citing papers authored by David F. Ackart
This map shows the geographic impact of David F. Ackart'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 David F. Ackart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David F. Ackart more than expected).
Fields of papers citing papers by David F. Ackart
This network shows the impact of papers produced by David F. Ackart. 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 David F. Ackart. The network helps show where David F. Ackart may publish in the future.
Co-authorship network of co-authors of David F. Ackart
This figure shows the co-authorship network connecting the top 25 collaborators of David F. Ackart. A scholar is included among the top collaborators of David F. Ackart 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 David F. Ackart. David F. Ackart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 18 | |
| 9 | 26 | |
| 10 | 18 | |
| 11 | 13 | |
| 12 | 10 | |
| 13 | 56 | |
| 14 | 36 | |
| 15 | 41 | |
| 16 | 43 | |
| 17 | 70 | |
| 18 | 15 | |
| 19 | 101 | |
| 20 | 65 |
About David F. Ackart
David F. Ackart is a scholar working on Molecular Medicine, Infectious Diseases and Epidemiology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (23 papers), Mycobacterium research and diagnosis (15 papers) and Antibiotic Resistance in Bacteria (7 papers). The work is most often cited by research in Infectious Diseases (634 citations), Molecular Medicine (104 citations) and Epidemiology (502 citations). David F. Ackart has collaborated with scholars based in United States, Switzerland and Philippines. Frequent co-authors include Randall J. Basaraba, Ian M. Orme, Brendan K. Podell, Crystal A. Shanley, Natalie M. Kirk, Frank Wolschendorf, Gyanu Lamichhane, Scott T. Nolan, Ying Wang and Stefan H. Bossmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.
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.