Ian P. Barrett

2.5k citations
23 papers · 571 indexed · h-index 13
Topics
Computational Drug Discovery Methods (10 papers)Bioinformatics and Genomic Networks (9 papers)Congenital heart defects research (4 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsCancer Research

In The Last Decade

Ian P. Barrett

22 papers receiving 567 citations

Peers

Ian P. Barrett
Comparison fields: 5 of 90
  • Molecular Biology 392
  • Computational Theory and Mathematics 140
  • Surgery 107
  • Biomedical Engineering 101
  • Oncology 59
Replace Anna Niarakis with:
Anna Niarakis France
Yin‐Ying Wang China
Xiang Zhuang China
Rebecca Kirk Austria
Jiangming Sun Sweden
Jim Bosley United States
Vasileios Stathias United States
Uğur Eskiocak United States
Claire Jean-Quartier Austria
Ted Natoli United States
Ian P. Barrett relative to Anna Niarakis France Anna Niarakis's profile →
Citations per field
00.5×5.9×
Anna Niarakis · 1×
Citations per year

Countries citing papers authored by Ian P. Barrett

Since Specialization
Citations

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

Fields of papers citing papers by Ian P. Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian P. Barrett. 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 Ian P. Barrett. The network helps show where Ian P. Barrett may publish in the future.

Co-authorship network of co-authors of Ian P. Barrett

This figure shows the co-authorship network connecting the top 25 collaborators of Ian P. Barrett. A scholar is included among the top collaborators of Ian P. Barrett 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 Ian P. Barrett. Ian P. Barrett 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 0
2 1
3 2
4 34
5 25
6 8
7 65
8 13
9 14
10 25
11 1
12 21
13 205
14 21
15 19
16 23
17 11
18 32
19 5
20 6

About Ian P. Barrett

Ian P. Barrett is a scholar working on Computational Theory and Mathematics, Biophysics and Molecular Biology, having authored 23 papers that have together received 571 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Bioinformatics and Genomic Networks (9 papers) and Congenital heart defects research (4 papers). The work is most often cited by research in Computational Theory and Mathematics (140 citations), Biophysics (46 citations) and Molecular Biology (392 citations). Ian P. Barrett has collaborated with scholars based in United Kingdom, Sweden and Australia. Frequent co-authors include Ola Engkvist, Stephen Bonner, Andreas Bender, Alleyn T. Plowright, Qing‐Dong Wang, Lauren Drowley, Mei Ding, William L. Hamilton, Charles Tapley Hoyt and Cheng Ye. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Cancer Research.

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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