Paul Beatus

2.1k total citations · 1 hit paper
10 papers, 1.7k citations indexed

About

Paul Beatus is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Paul Beatus has authored 10 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Neurology. Recurrent topics in Paul Beatus's work include Developmental Biology and Gene Regulation (6 papers), Cerebrovascular and genetic disorders (3 papers) and Cell Adhesion Molecules Research (2 papers). Paul Beatus is often cited by papers focused on Developmental Biology and Gene Regulation (6 papers), Cerebrovascular and genetic disorders (3 papers) and Cell Adhesion Molecules Research (2 papers). Paul Beatus collaborates with scholars based in Sweden, United States and Switzerland. Paul Beatus's co-authors include Urban Lendahl, Lukas Sommer, Martin Hrabě de Angelis, Hao Li, Åsa Apelqvist, David J. Anderson, Helena Edlund, Tasuku Honjo, Johan Lundkvist and Christine R. Norton and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Development.

In The Last Decade

Paul Beatus

10 papers receiving 1.6k citations

Hit Papers

Notch signalling controls pancreatic cell differentiation 1999 2026 2008 2017 1999 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Beatus Sweden 9 1.0k 773 469 231 217 10 1.7k
Rein P. Stulp Netherlands 14 767 0.8× 544 0.7× 405 0.9× 501 2.2× 235 1.1× 20 1.8k
Catherine Carrière United States 18 1.5k 1.5× 368 0.5× 714 1.5× 602 2.6× 43 0.2× 23 2.4k
Kirmo Wartiovaara Finland 17 1.0k 1.0× 249 0.3× 260 0.6× 63 0.3× 89 0.4× 38 1.4k
Francesca Vitelli Italy 18 1.9k 1.8× 282 0.4× 701 1.5× 33 0.1× 117 0.5× 28 2.3k
A. Feijen Netherlands 22 1.6k 1.5× 212 0.3× 327 0.7× 56 0.2× 38 0.2× 31 1.8k
Diana C. Chong United States 16 648 0.6× 296 0.4× 170 0.4× 100 0.4× 43 0.2× 18 1.0k
Mayada Tassabehji United Kingdom 15 1.2k 1.2× 160 0.2× 621 1.3× 52 0.2× 70 0.3× 17 2.2k
Andrew Goodearl United States 16 725 0.7× 151 0.2× 138 0.3× 35 0.2× 56 0.3× 26 1.6k
Deborah Lang United States 21 1.3k 1.2× 305 0.4× 242 0.5× 28 0.1× 63 0.3× 37 2.0k
Qimin Gu United States 8 2.4k 2.4× 197 0.3× 659 1.4× 42 0.2× 45 0.2× 8 2.8k

Countries citing papers authored by Paul Beatus

Since Specialization
Citations

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

Fields of papers citing papers by Paul Beatus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Beatus

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

All Works

10 of 10 papers shown
1.
Beatus, Paul, Dhanisha J. Jhaveri, Tara L. Walker, et al.. (2011). Oncostatin M regulates neural precursor activity in the adult brain. Developmental Neurobiology. 71(7). 619–633. 21 indexed citations
2.
Lundkvist, Johan, Shunwei Zhu, Emil M. Hansson, et al.. (2005). Mice carrying a R142CNotch 3knock-in mutation do not develop a CADASIL-like phenotype. genesis. 41(1). 13–22. 35 indexed citations
3.
Krebs, Luke T., Yingzi Xue, Christine R. Norton, et al.. (2003). Characterization of Notch3‐deficient mice: Normal embryonic development and absence of genetic interactions with a Notch1 mutation. genesis. 37(3). 139–143. 199 indexed citations
4.
Zhang, Hong, et al.. (2002). Notch signaling is involved in the regulation of Id3 gene transcription during Xenopus embryogenesis. Differentiation. 69(4-5). 198–208. 40 indexed citations
5.
Karlström, Helena, et al.. (2002). A CADASIL-mutated Notch 3 receptor exhibits impaired intracellular trafficking and maturation but normal ligand-induced signaling. Proceedings of the National Academy of Sciences. 99(26). 17119–17124. 93 indexed citations
6.
Beatus, Paul, et al.. (2001). The origin of the ankyrin repeat region in Notch intracellular domains is critical for regulation of HES promoter activity. Mechanisms of Development. 104(1-2). 3–20. 78 indexed citations
7.
Apelqvist, Åsa, Hao Li, Lukas Sommer, et al.. (1999). Notch signalling controls pancreatic cell differentiation. Nature. 400(6747). 877–881. 930 indexed citations breakdown →
8.
Beatus, Paul, et al.. (1999). The Notch 3 intracellular domain represses Notch 1-mediated activation through Hairy/Enhancer of split (HES) promoters. Development. 126(17). 3925–3935. 157 indexed citations
9.
Beatus, Paul & Urban Lendahl. (1998). Notch and neurogenesis. Journal of Neuroscience Research. 54(2). 125–136. 111 indexed citations
10.
Beatus, Paul & Urban Lendahl. (1998). Notch and neurogenesis. Journal of Neuroscience Research. 54(2). 125–136. 4 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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