Stuart G. Beattie

27 total papers · 1.9k total citations
16 papers, 794 citations indexed

About

Stuart G. Beattie is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Stuart G. Beattie has authored 16 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Stuart G. Beattie's work include Virus-based gene therapy research (11 papers), RNA Interference and Gene Delivery (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Stuart G. Beattie is often cited by papers focused on Virus-based gene therapy research (11 papers), RNA Interference and Gene Delivery (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Stuart G. Beattie collaborates with scholars based in Spain, United Kingdom and United States. Stuart G. Beattie's co-authors include Maurice S. Swanson, Thurman M. Wheeler, Jihae Shin, Charles A. Thornton, Yuan Yuan, Rahul Kanadia, Harald Petry, Jesús Prìeto, Itsaso Mauleón and Antonio Fontanellas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Molecular Therapy.

In The Last Decade

Stuart G. Beattie

16 papers receiving 778 citations

Author Peers

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

Author						Papers	Cites
Stuart G. Beattie	641	306	223	107	93	16	794
Sanford L. Boye	620 1.0×	362 1.2×	112 0.5×	83 0.8×	59 0.6×	14	827
Cécile Orsini	557 0.9×	363 1.2×	112 0.5×	126 1.2×	54 0.6×	18	845
Amy Poirier	591 0.9×	585 1.9×	71 0.3×	151 1.4×	112 1.2×	13	908
Maria V. Shutova	527 0.8×	280 0.9×	46 0.2×	87 0.8×	43 0.5×	14	680
Kenji Tamayose	477 0.7×	346 1.1×	66 0.3×	178 1.7×	51 0.5×	23	846
Z Wang	512 0.8×	303 1.0×	39 0.2×	62 0.6×	63 0.7×	13	703
Suzanne Forry‐Schaudies	578 0.9×	272 0.9×	63 0.3×	176 1.6×	223 2.4×	19	805
Ching‐Pin Chang	590 0.9×	98 0.3×	132 0.6×	58 0.5×	161 1.7×	24	870
Kirsten Erger	513 0.8×	311 1.0×	70 0.3×	66 0.6×	32 0.3×	21	646
Mahesh de Alwis	644 1.0×	454 1.5×	87 0.4×	60 0.6×	77 0.8×	10	784

Countries citing papers authored by Stuart G. Beattie

Since Specialization

Citations

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

Fields of papers citing papers by Stuart G. Beattie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart G. Beattie. 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 Stuart G. Beattie. The network helps show where Stuart G. Beattie may publish in the future.

Co-authorship network of co-authors of Stuart G. Beattie

This figure shows the co-authorship network connecting the top 25 collaborators of Stuart G. Beattie. A scholar is included among the top collaborators of Stuart G. Beattie 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 Stuart G. Beattie. Stuart G. Beattie 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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