Phillip Noel Suffys

498 citations
9 papers · 277 indexed · h-index 7
Topics
Mycobacterium research and diagnosis (9 papers)Tuberculosis Research and Epidemiology (6 papers)Infectious Diseases and Tuberculosis (4 papers)

In The Last Decade

Phillip Noel Suffys

9 papers receiving 259 citations

Peers

Phillip Noel Suffys
Comparison fields: 5 of 36
  • Infectious Diseases 247
  • Epidemiology 220
  • Surgery 110
  • Molecular Biology 55
  • Molecular Medicine 42
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J.C. Sacchettini United States
Avisek Banerjee United States
Fernanda Sá Spies Brazil
Willem Bram de Rijk Belgium
Biyi Su China
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Rico Hömke Switzerland
Fátima Cristina Onofre Fandinho Montes Brazil
Lavania Joseph South Africa
Lesibana Anthony Malinga South Africa
Phillip Noel Suffys relative to J.C. Sacchettini United States J.C. Sacchettini's profile →
Citations per field
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J.C. Sacchettini · 1×
Citations per year

Countries citing papers authored by Phillip Noel Suffys

Since Specialization
Citations

This map shows the geographic impact of Phillip Noel 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 Phillip Noel Suffys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Noel Suffys more than expected).

Fields of papers citing papers by Phillip Noel Suffys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip Noel 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 Phillip Noel Suffys. The network helps show where Phillip Noel Suffys may publish in the future.

Co-authorship network of co-authors of Phillip Noel Suffys

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip Noel Suffys. A scholar is included among the top collaborators of Phillip Noel 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 Phillip Noel Suffys. Phillip Noel Suffys is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 12
2 7
3 1
4 1
5 7
6 26
7 14
8 14
9 195

About Phillip Noel Suffys

Phillip Noel Suffys is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine, having authored 9 papers that have together received 277 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (9 papers), Tuberculosis Research and Epidemiology (6 papers) and Infectious Diseases and Tuberculosis (4 papers). The work is most often cited by research in Infectious Diseases (247 citations), Molecular Medicine (42 citations) and Epidemiology (220 citations). Phillip Noel Suffys has collaborated with scholars based in Brazil, France and United States. Frequent co-authors include Leopoldo Portillo-Gómez, D A Rouse, S.M. Morris, G H Bai, Mary Fairchok, Silvana Spíndola de Miranda, Christophe Sola, Guislaine Refrégier, Michel Kiréopori Gomgnimbou and Wânia da Silva Carvalho. Their work appears in journals such as The Journal of Infectious Diseases, Antimicrobial Agents and Chemotherapy and PLoS neglected tropical diseases.

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.

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