Rupert Beale

19.4k total citations · 1 hit paper
55 papers, 2.6k citations indexed

About

Rupert Beale is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Rupert Beale has authored 55 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 15 papers in Infectious Diseases and 10 papers in Molecular Biology. Recurrent topics in Rupert Beale's work include SARS-CoV-2 and COVID-19 Research (12 papers), Autophagy in Disease and Therapy (7 papers) and Sepsis Diagnosis and Treatment (7 papers). Rupert Beale is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (12 papers), Autophagy in Disease and Therapy (7 papers) and Sepsis Diagnosis and Treatment (7 papers). Rupert Beale collaborates with scholars based in United Kingdom, United States and Germany. Rupert Beale's co-authors include Samir G. Sakka, Angela McLuckie, Konrad Reinhart, Andreas Meier‐Hellmann, Ulrich J. Pfeiffer, Cristina Rada, Michael S. Neuberger, Rachel Ulferts, Ian N. Watt and Reuben S. Harris and has published in prestigious journals such as Science, The EMBO Journal and Nature reviews. Immunology.

In The Last Decade

Rupert Beale

53 papers receiving 2.5k citations

Hit Papers

Assessment of cardiac preload and extravascular lung wate... 2000 2026 2008 2017 2000 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rupert Beale United Kingdom 24 905 757 469 430 428 55 2.6k
Yi Shi China 31 902 1.0× 854 1.1× 693 1.5× 536 1.2× 261 0.6× 144 3.3k
Julien Textoris France 32 1.1k 1.2× 806 1.1× 344 0.7× 876 2.0× 250 0.6× 113 2.9k
Adam Linder Sweden 32 1.4k 1.5× 468 0.6× 352 0.8× 600 1.4× 388 0.9× 100 2.8k
Charlotte Summers United Kingdom 31 621 0.7× 866 1.1× 308 0.7× 1.6k 3.7× 330 0.8× 89 3.9k
Michael R. Hodges United States 25 1.0k 1.1× 1.6k 2.2× 899 1.9× 251 0.6× 348 0.8× 60 3.8k
Martin Witzenrath Germany 39 1.2k 1.3× 1.8k 2.4× 522 1.1× 1.1k 2.7× 308 0.7× 182 5.0k
Sebastian Weis Germany 26 563 0.6× 899 1.2× 312 0.7× 491 1.1× 165 0.4× 87 2.2k
Yasuhiro Kawai Japan 31 1.1k 1.2× 651 0.9× 253 0.5× 112 0.3× 218 0.5× 111 2.8k
José A. Díaz United States 28 570 0.6× 601 0.8× 512 1.1× 580 1.3× 526 1.2× 127 3.2k
Frank Hulstaert Belgium 30 791 0.9× 409 0.5× 381 0.8× 667 1.6× 326 0.8× 108 3.6k

Countries citing papers authored by Rupert Beale

Since Specialization
Citations

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

Fields of papers citing papers by Rupert Beale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rupert Beale

This figure shows the co-authorship network connecting the top 25 collaborators of Rupert Beale. A scholar is included among the top collaborators of Rupert Beale 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 Rupert Beale. Rupert Beale 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
1.
Akutsu, Masato, et al.. (2025). Caspase cleavage of influenza A virus M2 disrupts M2-LC3 interaction and regulates virion production. EMBO Reports. 26(7). 1768–1791. 1 indexed citations
2.
Wrobel, Antoni G., Sarah Maslen, Antonio Torres-Méndez, et al.. (2024). The V-ATPase/ATG16L1 axis is controlled by the V1H subunit. Molecular Cell. 84(15). 2966–2983.e9. 12 indexed citations
3.
Marcassa, Elena, et al.. (2024). Conjugation of ATG8s to single membranes at a glance. Journal of Cell Science. 137(15). 14 indexed citations
4.
Atti, Ana, Ferdinando Insalata, Edward J Carr, et al.. (2023). Antibody correlates of protection against Delta infection after vaccination: A nested case-control within the UK-based SIREN study. Journal of Infection. 87(5). 420–427. 5 indexed citations
5.
Poirier, Enzo Z., Michael D. Buck, Probir Chakravarty, et al.. (2021). An isoform of Dicer protects mammalian stem cells against multiple RNA viruses. Science. 373(6551). 231–236. 87 indexed citations
6.
Ulferts, Rachel, Elena Marcassa, Beatriz Montaner, et al.. (2021). Subtractive CRISPR screen identifies the ATG16L1/vacuolar ATPase axis as required for non-canonical LC3 lipidation. Cell Reports. 37(4). 109899–109899. 46 indexed citations
7.
Tan, Kang Wei, Mary Wu, Rachel Ulferts, et al.. (2021). Identifying SARS-CoV-2 antiviral compounds by screening for small molecule inhibitors of Nsp3 papain-like protease. Biochemical Journal. 478(13). 2517–2531. 42 indexed citations
8.
Canal, Berta, Ryo Fujisawa, Tom Deegan, et al.. (2021). Identifying SARS-CoV-2 antiviral compounds by screening for small molecule inhibitors of nsp15 endoribonuclease. Biochemical Journal. 478(13). 2465–2479. 50 indexed citations
9.
Canal, Berta, Mary Wu, Rachel Ulferts, et al.. (2021). Identifying SARS-CoV-2 antiviral compounds by screening for small molecule inhibitors of nsp14/nsp10 exoribonuclease. Biochemical Journal. 478(13). 2445–2464. 32 indexed citations
10.
Lulla, Valeria, Michal P. Wandel, Katarzyna Bandyra, et al.. (2021). Targeting the Conserved Stem Loop 2 Motif in the SARS-CoV-2 Genome. Journal of Virology. 95(14). e0066321–e0066321. 43 indexed citations
11.
Encabo, Hector Huerga, et al.. (2021). Infecting human hematopoietic stem and progenitor cells with SARS-CoV-2. STAR Protocols. 2(4). 100903–100903. 2 indexed citations
12.
Durgan, Joanne, Alf Håkon Lystad, Katherine E. Sloan, et al.. (2021). Non-canonical autophagy drives alternative ATG8 conjugation to phosphatidylserine. Molecular Cell. 81(9). 2031–2040.e8. 136 indexed citations
13.
Clase, Catherine M., Edouard L. Fu, Rupert Beale, et al.. (2020). Forgotten Technology in the COVID-19 Pandemic: Filtration Properties of Cloth and Cloth Masks—A Narrative Review. Mayo Clinic Proceedings. 95(10). 2204–2224. 52 indexed citations
14.
Ulferts, Rachel, Élise Jacquin, Talitha Veith, et al.. (2018). The WD 40 domain of ATG 16L1 is required for its non‐canonical role in lipidation of LC 3 at single membranes. The EMBO Journal. 37(4). 194 indexed citations
15.
Miranda, Dinis Reis, Giuseppe Citerio, Anders Perner, et al.. (2015). Use of selective digestive tract decontamination in European intensive cares: the ifs and whys.. PubMed. 81(7). 734–42. 10 indexed citations
17.
Sanderson, Barnaby, Louise Lim, K Lei, et al.. (2010). A comparison of core and tympanic temperature measurement in the critically ill. Critical Care. 14(Suppl 1). P329–P329. 2 indexed citations
18.
Neuberger, Michael S., et al.. (2005). Somatic hypermutation at A·T pairs: polymerase error versus dUTP incorporation. Nature reviews. Immunology. 5(2). 171–178. 117 indexed citations
19.
Peuhkuri, Katri, Mika Hukkanen, Rupert Beale, et al.. (1997). Age and continuous lactose challenge modify lactase protein expression and enzyme activity in gut epithelium in the rat.. PubMed. 48(4). 719–29. 6 indexed citations
20.
Beale, Rupert, et al.. (1993). Acute respiratory distress syndrome ("ARDS"): no more than a severe acute lung injury?. BMJ. 307(6915). 1335–1339. 17 indexed citations

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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