Michael A. DeJesus
- Molecular Biology top 10%
- Infectious Diseases top 1%
- Epidemiology top 5%
- Genetics top 5%
- Ecology top 5%
- Co-authors
- Thomas R. IoergerChristopher M. SassettiBrian J. AkerleyJeffrey D. GawronskiDirk SchnappingerSabine EhrtJarukit E. LongEric J. Rubin
- Topics
- Tuberculosis Research and Epidemiology (11 papers)Mycobacterium research and diagnosis (11 papers)Bacteriophages and microbial interactions (9 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Michael A. DeJesus
26 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 1.3k
- Infectious Diseases 1.2k
- Epidemiology 962
- Genetics 357
- Ecology 296
Countries citing papers authored by Michael A. DeJesus
This map shows the geographic impact of Michael A. DeJesus'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 Michael A. DeJesus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. DeJesus more than expected).
Fields of papers citing papers by Michael A. DeJesus
This network shows the impact of papers produced by Michael A. DeJesus. 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 Michael A. DeJesus. The network helps show where Michael A. DeJesus may publish in the future.
Co-authorship network of co-authors of Michael A. DeJesus
This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. DeJesus. A scholar is included among the top collaborators of Michael A. DeJesus 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 Michael A. DeJesus. Michael A. DeJesus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 1 | |
| 6 | 96 | |
| 7 | 15 | |
| 8 | 155 | |
| 9 | 1 | |
| 10 | 14 | |
| 11 | 28 | |
| 12 | 11 | |
| 13 | 38 | |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 144 | |
| 17 | 66 | |
| 18 | 58 | |
| 19 | 22 | |
| 20 | High-Resolution Phenotypic Profiling Defines Genes Essential for Mycobacterial Growth and Cholesterol Catabolismbreakdown → | 795 |
About Michael A. DeJesus
Michael A. DeJesus is a scholar working on Infectious Diseases, Virology and Molecular Medicine, having authored 26 papers that have together received 2.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (11 papers) and Bacteriophages and microbial interactions (9 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Molecular Medicine (266 citations) and Epidemiology (962 citations). Michael A. DeJesus has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Thomas R. Ioerger, Christopher M. Sassetti, Brian J. Akerley, Jeffrey D. Gawronski, Dirk Schnappinger, Sabine Ehrt, Jarukit E. Long, Eric J. Rubin, Sae Woong Park and Sarah M. Fortune. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.