Luiz E. Bermudez
- Epidemiology top 0.2%
- Infectious Diseases top 0.1%
- Molecular Biology top 5%
- Immunology top 1%
- Ecology top 2%
- Co-authors
- Lawrence S. YoungMary PetrofskyClark B. InderliedLia DanelishviliMartin WuLowell S. YoungCarol A. KemperPeter Kolonoski
- Topics
- Mycobacterium research and diagnosis (190 papers)Tuberculosis Research and Epidemiology (143 papers)Bacteriophages and microbial interactions (48 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Luiz E. Bermudez
228 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Epidemiology 6.0k
- Infectious Diseases 4.7k
- Molecular Biology 2.3k
- Immunology 1.9k
- Ecology 1.1k
Countries citing papers authored by Luiz E. Bermudez
This map shows the geographic impact of Luiz E. Bermudez'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 Luiz E. Bermudez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luiz E. Bermudez more than expected).
Fields of papers citing papers by Luiz E. Bermudez
This network shows the impact of papers produced by Luiz E. Bermudez. 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 Luiz E. Bermudez. The network helps show where Luiz E. Bermudez may publish in the future.
Co-authorship network of co-authors of Luiz E. Bermudez
This figure shows the co-authorship network connecting the top 25 collaborators of Luiz E. Bermudez. A scholar is included among the top collaborators of Luiz E. Bermudez 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 Luiz E. Bermudez. Luiz E. Bermudez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 67 | |
| 9 | 19 | |
| 10 | 26 | |
| 11 | 9 | |
| 12 | 94 | |
| 13 | 355 | |
| 14 | 8 | |
| 15 | 47 | |
| 16 | 6 | |
| 17 | 15 | |
| 18 | 25 | |
| 19 | 328 | |
| 20 | Granulocyte monocyte colony stimulating factor activates human macrophages to kill mycobacterium avium complex | 1 |
About Luiz E. Bermudez
Luiz E. Bermudez is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine, having authored 236 papers that have together received 9.4k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (190 papers), Tuberculosis Research and Epidemiology (143 papers) and Bacteriophages and microbial interactions (48 papers). The work is most often cited by research in Infectious Diseases (4.7k citations), Endocrinology (946 citations) and Epidemiology (6.0k citations). Luiz E. Bermudez has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Lawrence S. Young, Mary Petrofsky, Clark B. Inderlied, Lia Danelishvili, Martin Wu, Lowell S. Young, Carol A. Kemper, Peter Kolonoski, Jeffrey D. Cirillo and Joshua Goodman. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine 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.