Carla Cummins

18.5k citations
6 papers · 3.9k indexed · 1 hit paper · h-index 5

Impact in

Papers in

Carla Cummins

6 papers receiving 3.9k citations

Hit Papers

Roary: rapid large-scale prokaryote pan genome analysis 2015 · 3.6k citations
3.6k201520262018202210002.0k3.0k

Peers

Carla Cummins
Comparison fields: 5 of 103
  • Molecular Medicine 932
  • Endocrinology 902
  • Clinical Biochemistry 353
  • Microbiology 313
  • Food Science 830
Replace Dandan Zheng with:
Dandan Zheng China
Vanessa Wong United Kingdom
María Fookes United Kingdom
Michael Feldgarden United States
Rolf Sommer Kaas Denmark
Nabil-Fareed Alikhan United Kingdom
Sandra Reuter Germany
Rasmus L. Marvig Denmark
Nouri L. Ben Zakour Australia
Carla Cummins relative to Dandan Zheng China Dandan Zheng's profile →
Citations per field
00.5×2.6×
Dandan Zheng · 1×
Citations per year

Countries citing papers authored by Carla Cummins

Since Specialization
Citations

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

Fields of papers citing papers by Carla Cummins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carla Cummins. 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 Carla Cummins. The network helps show where Carla Cummins may publish in the future.

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 202412
2 202210
3 2016143
4
Roary: rapid large-scale prokaryote pan genome analysis
Hit paper breakdown →
20153627
5 20114
6 2011121

About Carla Cummins

Carla Cummins is a scholar working on Paleontology, Infectious Diseases, Genetics, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 6 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Evolution and Genetic Dynamics (2 papers), Plant and animal studies (1 paper), Biosensors and Analytical Detection (1 paper), Molecular Biology Techniques and Applications (1 paper), RNA and protein synthesis mechanisms (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Medicine (932 citations), Endocrinology (902 citations), Clinical Biochemistry (353 citations), Microbiology (313 citations) and Food Science (830 citations). Carla Cummins has collaborated with scholars based in United Kingdom, Netherlands and Ireland. Frequent co-authors include Andrew J. Page, Jacqueline A. Keane, Julian Parkhill, Martin Hunt, Daniel Falush, Matthew T. G. Holden, Vanessa Wong, María Fookes, Sandra Reuter and James O. McInerney. Their work appears in journals such as Bioinformatics, Scientific Reports, Systematic Biology, Nature Communications and Mobile Genetic Elements.

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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