Philip Noël Suffys
- Infectious Diseases top 0.5%
- Epidemiology top 1%
- Surgery top 5%
- Molecular Biology
- Small Animals top 2%
- Co-authors
- Adalberto Rezende SantosHarrison Magdinier GomesWim DegraveAdalgiza da Silva RochaEuzenir Nunes SarnoAfrânio Lineu KritskiAntônio Basílio de MirandaLia Lima Gomes
- Topics
- Mycobacterium research and diagnosis (102 papers)Tuberculosis Research and Epidemiology (91 papers)Infectious Diseases and Tuberculosis (39 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Clinical Microbiology
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Philip Noël Suffys
121 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 100
- Infectious Diseases 2.1k
- Epidemiology 2.0k
- Surgery 1.0k
- Molecular Biology 303
- Small Animals 175
Countries citing papers authored by Philip Noël Suffys
This map shows the geographic impact of Philip Noël Suffys'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 Philip Noël Suffys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Noël Suffys more than expected).
Fields of papers citing papers by Philip Noël Suffys
This network shows the impact of papers produced by Philip Noël Suffys. 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 Philip Noël Suffys. The network helps show where Philip Noël Suffys may publish in the future.
Co-authorship network of co-authors of Philip Noël Suffys
This figure shows the co-authorship network connecting the top 25 collaborators of Philip Noël Suffys. A scholar is included among the top collaborators of Philip Noël Suffys 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 Philip Noël Suffys. Philip Noël Suffys 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 34 | |
| 8 | 5 | |
| 9 | 9 | |
| 10 | 7 | |
| 11 | 14 | |
| 12 | 10 | |
| 13 | 13 | |
| 14 | 0 | |
| 15 | 14 | |
| 16 | 65 | |
| 17 | 13 | |
| 18 | 82 | |
| 19 | Tuberculose e o estudo molecular da sua epidemiologia | 5 |
| 20 | 16 |
About Philip Noël Suffys
Philip Noël Suffys is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine, having authored 127 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (102 papers), Tuberculosis Research and Epidemiology (91 papers) and Infectious Diseases and Tuberculosis (39 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), Epidemiology (2.0k citations) and Small Animals (175 citations). Philip Noël Suffys has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Adalberto Rezende Santos, Harrison Magdinier Gomes, Wim Degrave, Adalgiza da Silva Rocha, Euzenir Nunes Sarno, Afrânio Lineu Kritski, Antônio Basílio de Miranda, Lia Lima Gomes, Igor Mokrousov and Fernanda Carvalho de Queiroz Mello. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Microbiology.
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.