Paul Sumby

3.9k citations
44 papers · 3.1k indexed · 1 hit paper · h-index 27

Impact in

Papers in

Paul Sumby

44 papers receiving 3.0k citations

Hit Papers

Computational analysis of bacterial RNA-Seq data 2013 · 447 citations
4472013202620172021100200300400

Peers

Paul Sumby
Comparison fields: 5 of 97
  • Infectious Diseases 1.6k
  • Public Health, Environmental and Occupational Health 1.9k
  • Clinical Biochemistry 239
  • Endocrinology 157
  • Microbiology 165
Replace Kent Barbian with:
Kent Barbian United States
Nancy P. Hoe United States
Ralph Goethe Germany
Ruth C. Massey United Kingdom
Jouko Sillanpää United States
Vegard Eldholm Norway
Hilde E. Smith Netherlands
Margaretha Stålhammar‐Carlemalm Sweden
Stephen B. Olmsted United States
J. R. Uhl United States
Paul Sumby relative to Kent Barbian United States Kent Barbian's profile →
Citations per field
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Citations per year

Countries citing papers authored by Paul Sumby

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Paul Sumby Line = papers co-authored together Paul Sumby links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20221
2 201916
3 20163
4 201552
5 201538
6 201428
7
Computational analysis of bacterial RNA-Seq data
Hit paper breakdown →
2013447
8 201242
9 2010103
10 201056
11 201022
12 201048
13 200964
14 200821
15 2008167
16 2006381
17 200660
18 200574
19 2005270
20 200258

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.

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