Paul Varley

1.7k citations
31 papers · 923 · h-index 14

Impact in

Papers in

Paul Varley

30 papers receiving 882 citations

Peers

Paul Varley
Comparison fields: 5 of 129
  • Molecular Biology 624
  • Radiology, Nuclear Medicine and Imaging 154
  • Pharmaceutical Science 24
  • Materials Chemistry 174
  • Cell Biology 60
Replace Damian Marshall with:
Damian Marshall United Kingdom
Andrea Caporale Italy
Stuart E. Builder United States
Maureen Brennan United States
Ritu Mishra Germany
Miriam Dwek United Kingdom
Kazunori Toma Japan
Guy Y. Krippner Australia
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Citations per field
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Citations per year

Countries citing papers authored by Paul Varley

Since Specialization
Citations

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

Fields of papers citing papers by Paul Varley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007166
2 1993133
3 1991100
4 202069
5 200262
6 200661
7 201947
8 201640
9 202036
10 201730
11 202225
12 200714
13 199313
14 198613
15 199313
16 200612
17 199212
18 200312
19 199711
20 199110

About Paul Varley

Paul Varley is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cultural Studies, Materials Chemistry and Sociology and Political Science, having authored 31 papers that have together received 923 indexed citations. Recurring topics across this work include Protein purification and stability (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Japanese History and Culture (6 papers), Protein Structure and Dynamics (5 papers), Enzyme Structure and Function (4 papers), Peptidase Inhibition and Analysis (2 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Molecular Biology (624 citations), Radiology, Nuclear Medicine and Imaging (154 citations), Pharmaceutical Science (24 citations), Materials Chemistry (174 citations) and Cell Biology (60 citations). Paul Varley has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Roger H. Pain, Angela M. Gronenborn, Henriette Christensen, Paul T. Wingfield, G. Marius Clore, Sandrine Mulot, Yanling Lü, Stephen E. Harding, Brendan Fish and Magdalena Malm. Their work appears in journals such as Scientific Reports, iScience, Journal of Pharmaceutical Sciences, Biotechnology and Genetic Engineering Reviews and Metabolic Engineering.

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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