Paul Sumby
Impact in
- Infectious Diseases top 0.5%
- Antimicrobial Resistance in Staphylococcus
-
- Streptococcal Infections and Treatments
- Neonatal and Maternal Infections
Papers in
-
- Antimicrobial Resistance in Staphylococcus 33
-
- Streptococcal Infections and Treatments 37
- Neonatal and Maternal Infections 15
- Co-authors
- James M. MusserFrank R. DeLeoEdward A. GravissAdeline R. WhitneySamuel A. ShelburneJeanette TreviñoZhuyun LiuBrian Tjaden
- Journals
- Infection and Immunity (12 papers)Molecular Microbiology (8 papers)Journal of Bacteriology (8 papers)Proceedings of the National Academy of Sciences (5 papers)PLoS Pathogens (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Paul Sumby
44 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Infectious Diseases 1.6k
- Public Health, Environmental and Occupational Health 1.9k
- Clinical Biochemistry 239
- Endocrinology 157
- Microbiology 165
Countries citing papers authored by Paul Sumby
This map shows the geographic impact of Paul Sumby'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 Paul Sumby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Sumby more than expected).
Fields of papers citing papers by Paul Sumby
This network shows the impact of papers produced by Paul Sumby. 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 Paul Sumby. The network helps show where Paul Sumby may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul Sumby, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 1 | |
| 2 | 2019 | 16 | |
| 3 | 2016 | 3 | |
| 4 | 2015 | 52 | |
| 5 | 2015 | 38 | |
| 6 | 2014 | 28 | |
| 7 | Computational analysis of bacterial RNA-Seq data Hit paper breakdown → | 2013 | 447 |
| 8 | 2012 | 42 | |
| 9 | 2010 | 103 | |
| 10 | 2010 | 56 | |
| 11 | 2010 | 22 | |
| 12 | 2010 | 48 | |
| 13 | 2009 | 64 | |
| 14 | 2008 | 21 | |
| 15 | 2008 | 167 | |
| 16 | 2006 | 381 | |
| 17 | 2006 | 60 | |
| 18 | 2005 | 74 | |
| 19 | 2005 | 270 | |
| 20 | 2002 | 58 |
About Paul Sumby
Paul Sumby is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Clinical Biochemistry, Endocrinology and Ecology, having authored 44 papers that have together received 3.1k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (37 papers), Antimicrobial Resistance in Staphylococcus (33 papers), Neonatal and Maternal Infections (15 papers), Infective Endocarditis Diagnosis and Management (8 papers), Bacteriophages and microbial interactions (7 papers), Bacterial Identification and Susceptibility Testing (6 papers), Plant Pathogenic Bacteria Studies (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Public Health, Environmental and Occupational Health (1.9k citations), Clinical Biochemistry (239 citations), Endocrinology (157 citations) and Microbiology (165 citations). Paul Sumby has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include James M. Musser, Frank R. DeLeo, Edward A. Graviss, Adeline R. Whitney, Samuel A. Shelburne, Jeanette Treviño, Zhuyun Liu, Brian Tjaden, Carin K. Vanderpool and Ryan McClure. Their work appears in journals such as Infection and Immunity, Molecular Microbiology, Journal of Bacteriology, Proceedings of the National Academy of Sciences and PLoS Pathogens.
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.