Brian Noonan

2.5k total citations
21 papers, 427 citations indexed

About

Brian Noonan is a scholar working on Immunology, Ecology and Molecular Biology. According to data from OpenAlex, Brian Noonan has authored 21 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 9 papers in Ecology and 5 papers in Molecular Biology. Recurrent topics in Brian Noonan's work include Bacteriophages and microbial interactions (9 papers), Aquaculture disease management and microbiota (8 papers) and Legume Nitrogen Fixing Symbiosis (4 papers). Brian Noonan is often cited by papers focused on Bacteriophages and microbial interactions (9 papers), Aquaculture disease management and microbiota (8 papers) and Legume Nitrogen Fixing Symbiosis (4 papers). Brian Noonan collaborates with scholars based in Canada, United States and Ireland. Brian Noonan's co-authors include T J Trust, P. Doig, Richard A. Alm, T J Trust, Paul W. O’Toole, B L de Jonge, Eric D. Brown, Braydon C. Guild, Scott D. Mills and Steffen Porwollik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Applied and Environmental Microbiology.

In The Last Decade

Brian Noonan

21 papers receiving 406 citations

Peers

Brian Noonan
Comparison fields: 5 of 59
  • Immunology 171
  • Surgery 168
  • Molecular Biology 138
  • Ecology 76
  • Endocrinology 69
Replace Jennifer Schär with:
Jennifer Schär Germany
Vandana Chandan Canada
T. Tosi France
Birgit Brenneke Germany
Maria Celeste Martino Italy
Tadhg Ó Cróinı́n Ireland
Douglas W. Griffith Canada
Julia Sabio y García Argentina
Manish Mahawar India
Meritxell Zurita-Turk Brazil
Jennifer Schär Germany View profile →
Citations per field, relative to Brian Noonan
Brian Noonan · 1×
Citations per year, relative to Brian Noonan
Brian Noonan · 1×

Countries citing papers authored by Brian Noonan

Since Specialization
Citations

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

Fields of papers citing papers by Brian Noonan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Noonan

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Noonan. A scholar is included among the top collaborators of Brian Noonan 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 Brian Noonan. Brian Noonan 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
# Work Indexed citations
1 7
2 17
3 25
4 37
5 11
6 5
7 147
8 34
9 9
10 5
11 4
12 26
13 15
14 8
15 9
16 28
17 14
18 2
19 2
20 2

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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