Stephen C. Watts

1.9k citations
10 papers · 1.1k indexed · 1 hit paper · h-index 8

Impact in

Papers in

Stephen C. Watts

10 papers receiving 1.1k citations

Hit Papers

A genomic surveillance framework and genotyping tool for Klebsiella pneumoniae and its related species complex 2021 · 593 citations
5932021202620222024100200300400500

Peers

Stephen C. Watts
Comparison fields: 5 of 100
  • Molecular Medicine 523
  • Endocrinology 210
  • Applied Microbiology and Biotechnology 38
  • Clinical Biochemistry 120
  • Microbiology 68
Replace Elizabeth Andrade Marques with:
Elizabeth Andrade Marques Brazil
Kay A. Ramsay Australia
Christopher E. Pope United States
Eliane Siébor France
Lifen Hu China
Jens Klockgether Germany
Irene Bianconi Italy
Chunjiang Zhao China
Basil Britto Xavier Belgium
E. Platsouka Greece
Stephen C. Watts relative to Elizabeth Andrade Marques Brazil Elizabeth Andrade Marques's profile →
Citations per field
00.5×5.7×
Elizabeth Andrade Marques · 1×
Citations per year

Countries citing papers authored by Stephen C. Watts

Since Specialization
Citations

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

Fields of papers citing papers by Stephen C. Watts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen C. Watts. 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 Stephen C. Watts. The network helps show where Stephen C. Watts may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen C. Watts, 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 Stephen C. Watts Line = papers co-authored together Stephen C. Watts links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20235
2 20236
3
A genomic surveillance framework and genotyping tool for Klebsiella pneumoniae and its related species complex
Hit paper breakdown →
2021593
4 202117
5 20218
6 201934
7 2018222
8 2018150
9 201612
10 201636

About Stephen C. Watts

Stephen C. Watts is a scholar working on Molecular Medicine, Biological Psychiatry, Microbiology, Endocrinology and Clinical Biochemistry, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Respiratory viral infections research (2 papers), Pneumonia and Respiratory Infections (2 papers), Antibiotic Resistance in Bacteria (2 papers), Bacterial Infections and Vaccines (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Pediatric health and respiratory diseases (1 paper). The work is most often cited by research in Molecular Medicine (523 citations), Endocrinology (210 citations), Applied Microbiology and Biotechnology (38 citations), Clinical Biochemistry (120 citations) and Microbiology (68 citations). Stephen C. Watts has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Kathryn E. Holt, Kelly L. Wyres, Margaret M. C. Lam, Ryan R. Wick, Louise Cerdeira, Michael Inouye, Scott C. Ritchie, Louise M. Judd, James E. Gern and Yury A. Bochkov. Their work appears in journals such as eLife, BMC Genomics, Cell Host & Microbe, Nature Communications and Bioinformatics.

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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