Robin W. Cotton

438 total citations
15 papers, 313 citations indexed

About

Robin W. Cotton is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Robin W. Cotton has authored 15 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Genetics and 2 papers in Ecology. Recurrent topics in Robin W. Cotton's work include Forensic and Genetic Research (9 papers), Molecular Biology Techniques and Applications (6 papers) and Statistical Methods and Bayesian Inference (2 papers). Robin W. Cotton is often cited by papers focused on Forensic and Genetic Research (9 papers), Molecular Biology Techniques and Applications (6 papers) and Statistical Methods and Bayesian Inference (2 papers). Robin W. Cotton collaborates with scholars based in United States and Germany. Robin W. Cotton's co-authors include Catherine M. Grgicak, Bettina Lundgren, Joseph A. Kovacs, Jeffrey C. Edman, Jens Lundgren, James P. Landers, Joli Bregu, Barbara A. Hamkalo, Cole Manes and Katie M. Horsman and has published in prestigious journals such as Nucleic Acids Research, Infection and Immunity and Analytica Chimica Acta.

In The Last Decade

Robin W. Cotton

14 papers receiving 297 citations

Peers

Robin W. Cotton
Comparison fields: 5 of 65
  • Molecular Biology 202
  • Genetics 114
  • Epidemiology 54
  • Ecology 45
  • Biomedical Engineering 40
Replace Erlan Ramanculov with:
Erlan Ramanculov Kazakhstan
Christian Spahn United States
Harish Swaminathan United States
H. Clifford Lane United States
Hans‐Peter Grunert Germany
Marta Ciechonska Canada
Kakoli Ghosh Canada
Charlotte Cockram France
Christina Öhrmalm Sweden
Virginie Stévenin Netherlands
Erlan Ramanculov Kazakhstan View profile →
Citations per field, relative to Robin W. Cotton
Robin W. Cotton · 1×
Citations per year, relative to Robin W. Cotton
Robin W. Cotton · 1×

Countries citing papers authored by Robin W. Cotton

Since Specialization
Citations

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

Fields of papers citing papers by Robin W. Cotton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin W. Cotton

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 17
3 5
4 22
5 14
6 47
7 26
8 7
9 3
10 28
11 7
12 54
13 4
14 56
15 23

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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