Cecilia A. Cotton

28 papers receiving 561 citations

Peers

Cecilia A. Cotton
Comparison fields: 5 of 90
  • Molecular Biology 345
  • Pulmonary and Respiratory Medicine 227
  • Pediatrics, Perinatology and Child Health 175
  • Oncology 67
  • Public Health, Environmental and Occupational Health 50
Replace Ruben G. Duijnhoven with:
Ruben G. Duijnhoven Netherlands
Andrew W. Hitchings United Kingdom
Judith R. Hunter United States
Moritz Hansen United States
Ramy Sedhom United States
Ammara Abbasi United States
Sue Madsen United States
C. Neslusan United States
Jessamyn Conell‐Price United States
Eileen Brennan United Kingdom
Cecilia A. Cotton relative to Ruben G. Duijnhoven Netherlands Ruben G. Duijnhoven's profile →
Citations per field
00.5×11.5×
Ruben G. Duijnhoven · 1×
Citations per year

Countries citing papers authored by Cecilia A. Cotton

Since Specialization
Citations

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

Fields of papers citing papers by Cecilia A. Cotton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cecilia A. Cotton. 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 Cecilia A. Cotton. The network helps show where Cecilia A. Cotton may publish in the future.

Co-authorship network of co-authors of Cecilia A. Cotton

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 0
4 2
5 4
6 68
7 5
8 2
9 5
10 13
11 1
12 15
13 7
14 11
15 80
16 11
17 6
18 3
19 1
20 49

About Cecilia A. Cotton

Cecilia A. Cotton is a scholar working on Statistics and Probability, Critical Care and Intensive Care Medicine and Modeling and Simulation, having authored 30 papers that have together received 574 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (9 papers), Renal and related cancers (7 papers) and Statistical Methods in Clinical Trials (6 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (175 citations), Pulmonary and Respiratory Medicine (227 citations) and Urology (44 citations). Cecilia A. Cotton has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Daniel M. Green, Norman E. Breslow, Michael L. Ritchey, Elizabeth J. Perlman, Robert C. Shamberger, Gerald M. Haase, Janice Takashima, J. Bruce Beckwith, Patricia Norkool and Susan Peterson. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Statistics in Medicine.

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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