Paul S. Agutter

2.6k citations
88 papers · 1.9k · h-index 24

Impact in

Papers in

    • RNA Research and Splicing 13
    • Nuclear Structure and Function 13
    • RNA and protein synthesis mechanisms 9
    • Protein Structure and Dynamics 7
    • History of Medicine Studies 7

Paul S. Agutter

87 papers receiving 1.8k citations

Peers

Paul S. Agutter
Comparison fields: 5 of 167
  • Internal Medicine 64
  • Clinical Biochemistry 97
  • Molecular Biology 966
  • Biochemistry 88
  • Cell Biology 159
Replace Per Fernlund with:
Per Fernlund Sweden
Darrel W. Stafford United States
Anil K. Mandal India
William Cohen United States
Craig J. Morton Australia
Maria Cristina De Rosa Italy
Xiaolin Zhang China
Andreas Braun Germany
G.B. West United Kingdom
Cassian Bon France
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Citations per field
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Citations per year

Countries citing papers authored by Paul S. Agutter

Since Specialization
Citations

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

Fields of papers citing papers by Paul S. Agutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul S. Agutter. 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 Paul S. Agutter. The network helps show where Paul S. Agutter may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011165
2 2010131
3 2004130
4 1976116
5 1980111
6 197983
7 201166
8 200762
9 197760
10 197056
11 199553
12 197750
13 197947
14 200038
15 197238
16 198037
17 200035
18 198631
19 197929
20 197928

About Paul S. Agutter

Paul S. Agutter is a scholar working on Molecular Biology, History, Internal Medicine, Clinical Biochemistry and Cell Biology, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA Research and Splicing (13 papers), Nuclear Structure and Function (13 papers), RNA and protein synthesis mechanisms (9 papers), History of Medicine Studies (7 papers), Protein Structure and Dynamics (7 papers), Venous Thromboembolism Diagnosis and Management (6 papers), Metabolism and Genetic Disorders (6 papers) and Neonatal Health and Biochemistry (5 papers). The work is most often cited by research in Internal Medicine (64 citations), Clinical Biochemistry (97 citations), Molecular Biology (966 citations), Biochemistry (88 citations) and Cell Biology (159 citations). Paul S. Agutter has collaborated with scholars based in United Kingdom, United States and Iran. Frequent co-authors include Denys N. Wheatley, Mohammadali M. Shoja, P. Colm Malone, Kamyar Ghabili, H. J. McArdle, Jonathan C. W. Richardson, Mostafa Ghanei, Khalil Ansarin, J. Robin Harris and M. Kadlubowski. Their work appears in journals such as Biochemical Society Transactions, Biochemical Journal, Theoretical Biology and Medical Modelling, Journal of Theoretical Biology and BioEssays.

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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