Christopher M. Sassetti
- Infectious Diseases top 0.05%
- Molecular Biology top 0.5%
- Epidemiology top 0.2%
- Immunology top 1%
- Genetics top 1%
- Co-authors
- Eric J. RubinDana BoydAmit Kumar PandeyThomas R. IoergerMichael A. DeJesusSarah M. FortuneSeung-Hun BaekJarukit E. Long
- Topics
- Tuberculosis Research and Epidemiology (85 papers)Mycobacterium research and diagnosis (55 papers)RNA and protein synthesis mechanisms (20 papers)
- Partner nations
- United StatesSpainChina
In The Last Decade
Christopher M. Sassetti
116 papers receiving 13.0k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Infectious Diseases 7.5k
- Molecular Biology 7.0k
- Epidemiology 5.6k
- Immunology 1.9k
- Genetics 1.7k
Countries citing papers authored by Christopher M. Sassetti
This map shows the geographic impact of Christopher M. Sassetti'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 Christopher M. Sassetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Sassetti more than expected).
Fields of papers citing papers by Christopher M. Sassetti
This network shows the impact of papers produced by Christopher M. Sassetti. 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 Christopher M. Sassetti. The network helps show where Christopher M. Sassetti may publish in the future.
Co-authorship network of co-authors of Christopher M. Sassetti
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Sassetti. A scholar is included among the top collaborators of Christopher M. Sassetti 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 Christopher M. Sassetti. Christopher M. Sassetti 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 | 0 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 7 | |
| 8 | 17 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | 21 | |
| 12 | 30 | |
| 13 | 76 | |
| 14 | 89 | |
| 15 | 28 | |
| 16 | 131 | |
| 17 | 69 | |
| 18 | 121 | |
| 19 | Mycobacterial persistence requires the utilization of host cholesterolbreakdown → | 802 |
| 20 | 459 |
About Christopher M. Sassetti
Christopher M. Sassetti is a scholar working on Infectious Diseases, Molecular Medicine and Epidemiology, having authored 119 papers that have together received 13.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (85 papers), Mycobacterium research and diagnosis (55 papers) and RNA and protein synthesis mechanisms (20 papers). The work is most often cited by research in Infectious Diseases (7.5k citations), Molecular Medicine (1.4k citations) and Epidemiology (5.6k citations). Christopher M. Sassetti has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Eric J. Rubin, Dana Boyd, Amit Kumar Pandey, Thomas R. Ioerger, Michael A. DeJesus, Sarah M. Fortune, Seung-Hun Baek, Jarukit E. Long, Brian J. Akerley and Jeffrey D. Gawronski. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.