Paul R. Barber

253 total papers · 5.3k total citations
95 papers, 3.3k citations indexed

About

Paul R. Barber is a scholar working on Molecular Biology, Biophysics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Paul R. Barber has authored 95 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 27 papers in Biophysics and 23 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Paul R. Barber's work include Advanced Fluorescence Microscopy Techniques (24 papers), Cell Image Analysis Techniques (13 papers) and Advanced Biosensing Techniques and Applications (10 papers). Paul R. Barber is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (24 papers), Cell Image Analysis Techniques (13 papers) and Advanced Biosensing Techniques and Applications (10 papers). Paul R. Barber collaborates with scholars based in United Kingdom, United States and Russia. Paul R. Barber's co-authors include Borivoj Vojnovic, A.C. Tropper, D.C. Hanna, Simon Ameer‐Beg, Tony Ng, Helen M. Pask, C.J. Mackechnie, Judith M. Dawes, Robert J. Carman and Gillian M. Tozer and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Psychological Bulletin.

In The Last Decade

Paul R. Barber

91 papers receiving 3.2k citations

Hit Papers

Ytterbium-doped silica fi... 1995 2026 2005 2015 1995 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paul R. Barber 1.3k 712 574 485 408 95 3.3k
Ling Fu 1.3k 1.0× 291 0.4× 513 0.9× 285 0.6× 220 0.5× 157 3.7k
Pilhan Kim 1.1k 0.8× 292 0.4× 274 0.5× 202 0.4× 232 0.6× 110 3.2k
Rajan P. Kulkarni 1.8k 1.4× 930 1.3× 636 1.1× 787 1.6× 152 0.4× 81 4.9k
Sebastian Wachsmann‐Hogiu 2.2k 1.7× 387 0.5× 907 1.6× 323 0.7× 227 0.6× 122 5.0k
Anne L. Plant 2.4k 1.9× 723 1.0× 650 1.1× 647 1.3× 229 0.6× 108 4.5k
Gregory S. Harms 1.4k 1.1× 414 0.6× 684 1.2× 291 0.6× 130 0.3× 66 3.0k
Euiheon Chung 552 0.4× 268 0.4× 418 0.7× 198 0.4× 316 0.8× 90 2.6k
Adam W. Smith 1.6k 1.3× 328 0.5× 259 0.5× 706 1.5× 282 0.7× 67 3.0k
N.L. Thompson 3.5k 2.8× 202 0.3× 902 1.6× 724 1.5× 271 0.7× 47 5.0k
Pablo Loza‐Álvarez 1.1k 0.8× 423 0.6× 1.1k 2.0× 792 1.6× 168 0.4× 159 3.5k

Countries citing papers authored by Paul R. Barber

Since Specialization
Citations

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

Fields of papers citing papers by Paul R. Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul R. Barber

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

All Works

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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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