Juliano Timm
- Infectious Diseases top 1%
- Epidemiology top 2%
- Molecular Biology
- Surgery top 10%
- Molecular Medicine top 2%
- Co-authors
- Brigitte GicquelJohn D. McKinneyWai-Tsing ChanTimothy D. McHughMorounfolu OlugbosiMatthew BatesMelvin SpigelmanFrancesca Conradie
- Topics
- Tuberculosis Research and Epidemiology (16 papers)Mycobacterium research and diagnosis (12 papers)Bacterial Genetics and Biotechnology (5 papers)
- Partner nations
- United StatesFranceSouth Africa
In The Last Decade
Juliano Timm
27 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Infectious Diseases 1.4k
- Epidemiology 1.1k
- Molecular Biology 592
- Surgery 294
- Molecular Medicine 253
Countries citing papers authored by Juliano Timm
This map shows the geographic impact of Juliano Timm'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 Juliano Timm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juliano Timm more than expected).
Fields of papers citing papers by Juliano Timm
This network shows the impact of papers produced by Juliano Timm. 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 Juliano Timm. The network helps show where Juliano Timm may publish in the future.
Co-authorship network of co-authors of Juliano Timm
This figure shows the co-authorship network connecting the top 25 collaborators of Juliano Timm. A scholar is included among the top collaborators of Juliano Timm 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 Juliano Timm. Juliano Timm 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 | 13 | |
| 3 | 24 | |
| 4 | Treatment of Highly Drug-Resistant Pulmonary Tuberculosisbreakdown → | 585 |
| 5 | 8 | |
| 6 | 168 | |
| 7 | 58 | |
| 8 | 83 | |
| 9 | 13 | |
| 10 | 77 | |
| 11 | 86 | |
| 12 | 131 | |
| 13 | 11 | |
| 14 | 69 | |
| 15 | 73 | |
| 16 | 189 | |
| 17 | [Experimental studies on tumorigenic activity of cigarette smoke condensate in mouse skin. I. Total experiment]. | 7 |
| 18 | [Experimental studies on the tumorigenic effect of cigarette smoke condensate on mouse skin. II. Single comparisons between condensates of modified cigarettes]. | 17 |
| 19 | 14 | |
| 20 | [Experimental studies on the tumorigenic effect of cigarette smoke condensate on mouse skin. 3. Identification and enrichment of tumor inducing fractions]. | 4 |
About Juliano Timm
Juliano Timm is a scholar working on Molecular Medicine, Infectious Diseases and Epidemiology, having authored 28 papers that have together received 2.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (16 papers), Mycobacterium research and diagnosis (12 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Molecular Medicine (253 citations) and Epidemiology (1.1k citations). Juliano Timm has collaborated with scholars based in United States, France and South Africa. Frequent co-authors include Brigitte Gicquel, John D. McKinney, Wai-Tsing Chan, Timothy D. McHugh, Morounfolu Olugbosi, Matthew Bates, Melvin Spigelman, Francesca Conradie, Andreas H. Diacon and Genevieve H. Wills. Their work appears in journals such as Nature, New England Journal of Medicine 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.